Skill Quality Report — 2026-04-16

[github-actions]

Skill Quality Report — 2026-04-16

272 skills and 191 agents scanned.

Severity	Count
⛔ Errors	16
⚠️ Warnings	269
ℹ️ Advisories	0

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Note: Detailed output is posted in the comments below (too large for the discussion body).

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Generated by the Skill Validator nightly scan.

[github-actions]

Skills (part 1)

Found 272 skill(s)
[gtm-board-and-investor-communication] 📊 gtm-board-and-investor-communication: 4,318 BPE tokens [chars/4: 4,657] (standard ~), 17 sections, 2 code blocks
[gtm-board-and-investor-communication]    ⚠  Skill is 4,318 BPE tokens (chars/4 estimate: 4,657) — approaching "comprehensive" range where gains diminish.
[repo-story-time] 📊 repo-story-time: 1,464 BPE tokens [chars/4: 1,669] (detailed ✓), 27 sections, 2 code blocks
[scoutqa-test] 📊 scoutqa-test: 3,056 BPE tokens [chars/4: 3,472] (standard ~), 24 sections, 19 code blocks
[scoutqa-test]    ⚠  Skill is 3,056 BPE tokens (chars/4 estimate: 3,472) — approaching "comprehensive" range where gains diminish.
[first-ask] 📊 first-ask: 326 BPE tokens [chars/4: 394] (compact ✓), 1 sections, 0 code blocks
[first-ask]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[my-issues] 📊 my-issues: 79 BPE tokens [chars/4: 85] (compact ✓), 0 sections, 0 code blocks
[my-issues]    ⚠  Skill is only 79 BPE tokens (chars/4 estimate: 85) — may be too sparse to provide actionable guidance.
[my-issues]    ⚠  No section headers — agents navigate structured documents better.
[my-issues]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[my-issues]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[onboard-context-matic] 📊 onboard-context-matic: 3,039 BPE tokens [chars/4: 3,261] (standard ~), 13 sections, 12 code blocks
[onboard-context-matic]    ⚠  Skill is 3,039 BPE tokens (chars/4 estimate: 3,261) — approaching "comprehensive" range where gains diminish.
[microsoft-docs] 📊 microsoft-docs: 1,362 BPE tokens [chars/4: 1,418] (detailed ✓), 14 sections, 2 code blocks
[typespec-api-operations] 📊 typespec-api-operations: 2,327 BPE tokens [chars/4: 2,287] (detailed ✓), 35 sections, 16 code blocks
[typespec-api-operations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[sandbox-npm-install] 📊 sandbox-npm-install: 875 BPE tokens [chars/4: 951] (detailed ✓), 11 sections, 2 code blocks
[remember] 📊 remember: 1,381 BPE tokens [chars/4: 1,632] (detailed ✓), 13 sections, 1 code blocks
[structured-autonomy-implement] 📊 structured-autonomy-implement: 209 BPE tokens [chars/4: 272] (compact ✓), 0 sections, 0 code blocks
[structured-autonomy-implement]    ⚠  No section headers — agents navigate structured documents better.
[structured-autonomy-implement]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[structured-autonomy-implement]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-trace] 📊 arize-trace: 5,220 BPE tokens [chars/4: 5,151] (comprehensive ✗), 42 sections, 10 code blocks
[arize-trace]    ⚠  Skill is 5,220 BPE tokens (chars/4 estimate: 5,151) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[geofeed-tuner] 📊 geofeed-tuner: 11,662 BPE tokens [chars/4: 12,215] (comprehensive ✗), 35 sections, 15 code blocks
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference 'assets/example/01-user-input-rfc8805-feed.csv' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/comments.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[geofeed-tuner]    ⚠  Skill is 11,662 BPE tokens (chars/4 estimate: 12,215) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[azure-deployment-preflight] 📊 azure-deployment-preflight: 1,759 BPE tokens [chars/4: 1,870] (detailed ✓), 19 sections, 6 code blocks
[refactor] 📊 refactor: 4,264 BPE tokens [chars/4: 4,211] (standard ~), 62 sections, 16 code blocks
[refactor]    ⚠  Skill is 4,264 BPE tokens (chars/4 estimate: 4,211) — approaching "comprehensive" range where gains diminish.
[java-add-graalvm-native-image-support] 📊 java-add-graalvm-native-image-support: 2,964 BPE tokens [chars/4: 3,228] (standard ~), 21 sections, 33 code blocks
[java-add-graalvm-native-image-support]    ⚠  Skill is 2,964 BPE tokens (chars/4 estimate: 3,228) — approaching "comprehensive" range where gains diminish.
[kotlin-springboot] 📊 kotlin-springboot: 956 BPE tokens [chars/4: 1,102] (detailed ✓), 10 sections, 1 code blocks
[kotlin-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[flowstudio-power-automate-debug] 📊 flowstudio-power-automate-debug: 2,926 BPE tokens [chars/4: 2,784] (standard ~), 65 sections, 13 code blocks
[flowstudio-power-automate-debug]    ⚠  Skill is 2,926 BPE tokens (chars/4 estimate: 2,784) — approaching "comprehensive" range where gains diminish.
[create-github-issues-for-unmet-specification-requirements] 📊 create-github-issues-for-unmet-specification-requirements: 233 BPE tokens [chars/4: 319] (compact ✓), 5 sections, 0 code blocks
[create-github-issues-for-unmet-specification-requirements]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[conventional-commit] 📊 conventional-commit: 599 BPE tokens [chars/4: 662] (detailed ✓), 6 sections, 6 code blocks
[update-implementation-plan] 📊 update-implementation-plan: 1,400 BPE tokens [chars/4: 1,595] (detailed ✓), 22 sections, 1 code blocks
[update-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[fabric-lakehouse] 📊 fabric-lakehouse: 1,243 BPE tokens [chars/4: 1,525] (detailed ✓), 21 sections, 0 code blocks
[fabric-lakehouse]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[fabric-lakehouse]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[migrating-oracle-to-postgres-stored-procedures] 📊 migrating-oracle-to-postgres-stored-procedures: 493 BPE tokens [chars/4: 576] (detailed ✓), 2 sections, 1 code blocks
[migrating-oracle-to-postgres-stored-procedures]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[appinsights-instrumentation] 📊 appinsights-instrumentation: 547 BPE tokens [chars/4: 616] (detailed ✓), 9 sections, 0 code blocks
[appinsights-instrumentation]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[appinsights-instrumentation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[vscode-ext-localization] 📊 vscode-ext-localization: 294 BPE tokens [chars/4: 369] (compact ✓), 3 sections, 0 code blocks
[vscode-ext-localization]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[plantuml-ascii] 📊 plantuml-ascii: 1,612 BPE tokens [chars/4: 1,489] (detailed ✓), 36 sections, 15 code blocks
[model-recommendation] 📊 model-recommendation: 6,398 BPE tokens [chars/4: 6,299] (comprehensive ✗), 59 sections, 11 code blocks
[model-recommendation]    ⚠  Skill is 6,398 BPE tokens (chars/4 estimate: 6,299) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[arize-prompt-optimization] 📊 arize-prompt-optimization: 4,296 BPE tokens [chars/4: 4,594] (standard ~), 58 sections, 19 code blocks
[arize-prompt-optimization]    ⚠  Skill is 4,296 BPE tokens (chars/4 estimate: 4,594) — approaching "comprehensive" range where gains diminish.
[gdpr-compliant] 📊 gdpr-compliant: 2,725 BPE tokens [chars/4: 2,968] (standard ~), 23 sections, 0 code blocks
[gdpr-compliant]    ⚠  Skill is 2,725 BPE tokens (chars/4 estimate: 2,968) — approaching "comprehensive" range where gains diminish.
[gdpr-compliant]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gdpr-compliant]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[game-engine] 📊 game-engine: 1,433 BPE tokens [chars/4: 1,581] (detailed ✓), 16 sections, 0 code blocks
[game-engine]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[napkin] 📊 napkin: 1,649 BPE tokens [chars/4: 1,784] (detailed ✓), 12 sections, 4 code blocks
[memory-merger] 📊 memory-merger: 924 BPE tokens [chars/4: 972] (detailed ✓), 12 sections, 3 code blocks
[power-apps-code-app-scaffold] 📊 power-apps-code-app-scaffold: 1,424 BPE tokens [chars/4: 1,786] (detailed ✓), 18 sections, 2 code blocks
[secret-scanning] 📊 secret-scanning: 2,073 BPE tokens [chars/4: 2,387] (detailed ✓), 30 sections, 4 code blocks
[csharp-nunit] 📊 csharp-nunit: 636 BPE tokens [chars/4: 711] (detailed ✓), 8 sections, 0 code blocks
[csharp-nunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-nunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-platform-mcp-connector-suite] 📊 power-platform-mcp-connector-suite: 1,348 BPE tokens [chars/4: 1,590] (detailed ✓), 19 sections, 1 code blocks
[power-platform-mcp-connector-suite]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-epic-arch] 📊 breakdown-epic-arch: 601 BPE tokens [chars/4: 712] (detailed ✓), 12 sections, 0 code blocks
[breakdown-epic-arch]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-arch]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[cli-mastery] 📊 cli-mastery: 535 BPE tokens [chars/4: 517] (detailed ✓), 3 sections, 1 code blocks
[cli-mastery]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-xunit] 📊 csharp-xunit: 599 BPE tokens [chars/4: 677] (detailed ✓), 8 sections, 0 code blocks
[csharp-xunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-xunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-mcp-server-generator] 📊 java-mcp-server-generator: 4,637 BPE tokens [chars/4: 5,506] (standard ~), 28 sections, 19 code blocks
[java-mcp-server-generator]    ⚠  Skill is 4,637 BPE tokens (chars/4 estimate: 5,506) — approaching "comprehensive" range where gains diminish.
[creating-oracle-to-postgres-migration-bug-report] 📊 creating-oracle-to-postgres-migration-bug-report: 473 BPE tokens [chars/4: 567] (detailed ✓), 6 sections, 0 code blocks
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[editorconfig] 📊 editorconfig: 877 BPE tokens [chars/4: 1,040] (detailed ✓), 8 sections, 1 code blocks
[github-copilot-starter] 📊 github-copilot-starter: 3,527 BPE tokens [chars/4: 3,860] (standard ~), 26 sections, 13 code blocks
[github-copilot-starter]    ⚠  Skill is 3,527 BPE tokens (chars/4 estimate: 3,860) — approaching "comprehensive" range where gains diminish.
[azure-role-selector] 📊 azure-role-selector: 198 BPE tokens [chars/4: 246] (compact ✓), 0 sections, 0 code blocks
[azure-role-selector]    ⚠  Skill is only 198 BPE tokens (chars/4 estimate: 246) — may be too sparse to provide actionable guidance.
[azure-role-selector]    ⚠  No section headers — agents navigate structured documents better.
[azure-role-selector]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-role-selector]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dotnet-best-practices] 📊 dotnet-best-practices: 602 BPE tokens [chars/4: 808] (detailed ✓), 12 sections, 0 code blocks
[dotnet-best-practices]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-best-practices]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[update-markdown-file-index] 📊 update-markdown-file-index: 573 BPE tokens [chars/4: 664] (detailed ✓), 11 sections, 1 code blocks
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename2.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename2.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[csharp-mstest] 📊 csharp-mstest: 3,249 BPE tokens [chars/4: 3,458] (standard ~), 31 sections, 22 code blocks
[csharp-mstest]    ⚠  Skill is 3,249 BPE tokens (chars/4 estimate: 3,458) — approaching "comprehensive" range where gains diminish.
[daily-prep] 📊 daily-prep: 2,157 BPE tokens [chars/4: 2,129] (detailed ✓), 16 sections, 0 code blocks
[daily-prep]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[email-drafter] 📊 email-drafter: 1,013 BPE tokens [chars/4: 1,142] (detailed ✓), 10 sections, 0 code blocks
[email-drafter]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-avm-modules-in-bicep] 📊 update-avm-modules-in-bicep: 591 BPE tokens [chars/4: 564] (detailed ✓), 8 sections, 1 code blocks
[refactor-plan] 📊 refactor-plan: 356 BPE tokens [chars/4: 355] (compact ✓), 15 sections, 1 code blocks
[centos-linux-triage] 📊 centos-linux-triage: 230 BPE tokens [chars/4: 240] (compact ✓), 4 sections, 0 code blocks
[centos-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[web-coder] 📊 web-coder: 4,784 BPE tokens [chars/4: 5,245] (standard ~), 47 sections, 10 code blocks
[web-coder]    ⚠  Skill is 4,784 BPE tokens (chars/4 estimate: 5,245) — approaching "comprehensive" range where gains diminish.
[web-design-reviewer] 📊 web-design-reviewer: 2,454 BPE tokens [chars/4: 2,610] (detailed ✓), 50 sections, 7 code blocks
[sponsor-finder] 📊 sponsor-finder: 3,085 BPE tokens [chars/4: 2,991] (standard ~), 25 sections, 6 code blocks
[sponsor-finder]    ⚠  Skill is 3,085 BPE tokens (chars/4 estimate: 2,991) — approaching "comprehensive" range where gains diminish.
[breakdown-feature-prd] 📊 breakdown-feature-prd: 557 BPE tokens [chars/4: 620] (detailed ✓), 13 sections, 0 code blocks
[breakdown-feature-prd]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-feature-prd]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[shuffle-json-data] 📊 shuffle-json-data: 945 BPE tokens [chars/4: 1,119] (detailed ✓), 14 sections, 4 code blocks
[sql-code-review] 📊 sql-code-review: 2,112 BPE tokens [chars/4: 2,220] (detailed ✓), 36 sections, 15 code blocks
[dotnet-upgrade] 📊 dotnet-upgrade: 1,354 BPE tokens [chars/4: 1,768] (detailed ✓), 1 sections, 0 code blocks
[dotnet-upgrade]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-upgrade]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[structured-autonomy-generate] 📊 structured-autonomy-generate: 921 BPE tokens [chars/4: 1,033] (detailed ✓), 10 sections, 3 code blocks
[azure-pricing] 📊 azure-pricing: 2,315 BPE tokens [chars/4: 2,371] (detailed ✓), 23 sections, 4 code blocks
[create-github-pull-request-from-specification] 📊 create-github-pull-request-from-specification: 331 BPE tokens [chars/4: 406] (compact ✓), 3 sections, 0 code blocks
[create-github-pull-request-from-specification]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[github-issues] 📊 github-issues: 1,951 BPE tokens [chars/4: 2,035] (detailed ✓), 22 sections, 6 code blocks
[copilot-usage-metrics] 📊 copilot-usage-metrics: 535 BPE tokens [chars/4: 609] (detailed ✓), 8 sections, 0 code blocks
[copilot-usage-metrics]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-vega] 📊 from-the-other-side-vega: 820 BPE tokens [chars/4: 894] (detailed ✓), 9 sections, 0 code blocks
[from-the-other-side-vega]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-vega]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[python-mcp-server-generator] 📊 python-mcp-server-generator: 871 BPE tokens [chars/4: 990] (detailed ✓), 13 sections, 0 code blocks
[python-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[create-implementation-plan] 📊 create-implementation-plan: 1,390 BPE tokens [chars/4: 1,575] (detailed ✓), 22 sections, 1 code blocks
[create-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-tunit] 📊 csharp-tunit: 1,164 BPE tokens [chars/4: 1,287] (detailed ✓), 10 sections, 0 code blocks
[csharp-tunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-tunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[swift-mcp-server-generator] 📊 swift-mcp-server-generator: 3,781 BPE tokens [chars/4: 4,374] (standard ~), 30 sections, 18 code blocks
[swift-mcp-server-generator]    ⚠  Skill is 3,781 BPE tokens (chars/4 estimate: 4,374) — approaching "comprehensive" range where gains diminish.
[powerbi-modeling] 📊 powerbi-modeling: 1,264 BPE tokens [chars/4: 1,495] (detailed ✓), 16 sections, 4 code blocks
[breakdown-epic-pm] 📊 breakdown-epic-pm: 509 BPE tokens [chars/4: 575] (detailed ✓), 13 sections, 0 code blocks
[breakdown-epic-pm]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-pm]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[eval-driven-dev] 📊 eval-driven-dev: 5,168 BPE tokens [chars/4: 6,033] (comprehensive ✗), 31 sections, 8 code blocks
[eval-driven-dev]    ⚠  Skill is 5,168 BPE tokens (chars/4 estimate: 6,033) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[workiq-copilot] 📊 workiq-copilot: 1,174 BPE tokens [chars/4: 1,361] (detailed ✓), 12 sections, 0 code blocks
[workiq-copilot]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[cosmosdb-datamodeling] 📊 cosmosdb-datamodeling: 10,181 BPE tokens [chars/4: 11,867] (comprehensive ✗), 71 sections, 19 code blocks
[cosmosdb-datamodeling]    ⚠  Skill is 10,181 BPE tokens (chars/4 estimate: 11,867) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[git-commit] 📊 git-commit: 747 BPE tokens [chars/4: 800] (detailed ✓), 22 sections, 5 code blocks
[git-commit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-instrumentation] 📊 arize-instrumentation: 4,790 BPE tokens [chars/4: 4,901] (standard ~), 19 sections, 3 code blocks
[arize-instrumentation]    ⚠  Skill is 4,790 BPE tokens (chars/4 estimate: 4,901) — approaching "comprehensive" range where gains diminish.
[penpot-uiux-design] 📊 penpot-uiux-design: 3,063 BPE tokens [chars/4: 3,026] (standard ~), 33 sections, 6 code blocks
[penpot-uiux-design]    ⚠  Skill is 3,063 BPE tokens (chars/4 estimate: 3,026) — approaching "comprehensive" range where gains diminish.
[breakdown-plan] 📊 breakdown-plan: 3,504 BPE tokens [chars/4: 3,763] (standard ~), 68 sections, 9 code blocks
[breakdown-plan]    ⚠  Skill is 3,504 BPE tokens (chars/4 estimate: 3,763) — approaching "comprehensive" range where gains diminish.
[copilot-sdk] 📊 copilot-sdk: 5,748 BPE tokens [chars/4: 6,042] (comprehensive ✗), 63 sections, 41 code blocks
[copilot-sdk]    ⚠  Skill is 5,748 BPE tokens (chars/4 estimate: 6,042) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[import-infrastructure-as-code] 📊 import-infrastructure-as-code: 4,135 BPE tokens [chars/4: 4,680] (standard ~), 30 sections, 11 code blocks
[import-infrastructure-as-code]    ⚠  Skill is 4,135 BPE tokens (chars/4 estimate: 4,680) — approaching "comprehensive" range where gains diminish.
[create-tldr-page] 📊 create-tldr-page: 1,546 BPE tokens [chars/4: 1,583] (detailed ✓), 19 sections, 8 code blocks
[gtm-developer-ecosystem] 📊 gtm-developer-ecosystem: 2,071 BPE tokens [chars/4: 2,310] (detailed ✓), 15 sections, 2 code blocks
[winmd-api-search] 📊 winmd-api-search: 2,086 BPE tokens [chars/4: 2,177] (detailed ✓), 21 sections, 4 code blocks
[az-cost-optimize] 📊 az-cost-optimize: 2,956 BPE tokens [chars/4: 3,218] (standard ~), 12 sections, 7 code blocks
[az-cost-optimize]    ⚠  Skill is 2,956 BPE tokens (chars/4 estimate: 3,218) — approaching "comprehensive" range where gains diminish.
[refactor-method-complexity-reduce] 📊 refactor-method-complexity-reduce: 932 BPE tokens [chars/4: 1,108] (detailed ✓), 7 sections, 0 code blocks
[refactor-method-complexity-reduce]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mkdocs-translations] 📊 mkdocs-translations: 946 BPE tokens [chars/4: 1,073] (detailed ✓), 10 sections, 0 code blocks
[mkdocs-translations]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mkdocs-translations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[boost-prompt] 📊 boost-prompt: 287 BPE tokens [chars/4: 353] (compact ✓), 0 sections, 1 code blocks
[boost-prompt]    ⚠  No section headers — agents navigate structured documents better.
[boost-prompt]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[unit-test-vue-pinia] 📊 unit-test-vue-pinia: 1,588 BPE tokens [chars/4: 1,777] (detailed ✓), 17 sections, 8 code blocks
[creating-oracle-to-postgres-master-migration-plan] 📊 creating-oracle-to-postgres-master-migration-plan: 755 BPE tokens [chars/4: 790] (detailed ✓), 6 sections, 2 code blocks
[playwright-generate-test] 📊 playwright-generate-test: 178 BPE tokens [chars/4: 220] (compact ✓), 2 sections, 0 code blocks
[playwright-generate-test]    ⚠  Skill is only 178 BPE tokens (chars/4 estimate: 220) — may be too sparse to provide actionable guidance.
[playwright-generate-test]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[suggest-awesome-github-copilot-instructions] 📊 suggest-awesome-github-copilot-instructions: 1,499 BPE tokens [chars/4: 1,904] (detailed ✓), 11 sections, 1 code blocks
[my-pull-requests] 📊 my-pull-requests: 121 BPE tokens [chars/4: 140] (compact ✓), 0 sections, 0 code blocks
[my-pull-requests]    ⚠  Skill is only 121 BPE tokens (chars/4 estimate: 140) — may be too sparse to provide actionable guidance.
[my-pull-requests]    ⚠  No section headers — agents navigate structured documents better.
[my-pull-requests]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[my-pull-requests]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[bigquery-pipeline-audit] 📊 bigquery-pipeline-audit: 1,224 BPE tokens [chars/4: 1,251] (detailed ✓), 8 sections, 0 code blocks
[bigquery-pipeline-audit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mcp-cli] 📊 mcp-cli: 626 BPE tokens [chars/4: 633] (detailed ✓), 16 sections, 1 code blocks
[power-bi-report-design-consultation] 📊 power-bi-report-design-consultation: 2,357 BPE tokens [chars/4: 2,723] (detailed ✓), 22 sections, 13 code blocks
[readme-blueprint-generator] 📊 readme-blueprint-generator: 563 BPE tokens [chars/4: 729] (detailed ✓), 12 sections, 0 code blocks
[readme-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[fluentui-blazor] 📊 fluentui-blazor: 1,762 BPE tokens [chars/4: 1,872] (detailed ✓), 13 sections, 13 code blocks
[sql-optimization] 📊 sql-optimization: 2,212 BPE tokens [chars/4: 2,298] (detailed ✓), 28 sections, 14 code blocks
[aspire] 📊 aspire: 2,386 BPE tokens [chars/4: 2,335] (detailed ✓), 20 sections, 3 code blocks
[terraform-azurerm-set-diff-analyzer] 📊 terraform-azurerm-set-diff-analyzer: 489 BPE tokens [chars/4: 547] (detailed ✓), 9 sections, 1 code blocks
[terraform-azurerm-set-diff-analyzer]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-spring-boot-kotlin-project] 📊 create-spring-boot-kotlin-project: 1,033 BPE tokens [chars/4: 1,068] (detailed ✓), 11 sections, 11 code blocks
[create-spring-boot-kotlin-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-positioning-strategy] 📊 gtm-positioning-strategy: 3,189 BPE tokens [chars/4: 3,545] (standard ~), 16 sections, 3 code blocks
[gtm-positioning-strategy]    ⚠  Skill is 3,189 BPE tokens (chars/4 estimate: 3,545) — approaching "comprehensive" range where gains diminish.
[typespec-create-agent] 📊 typespec-create-agent: 672 BPE tokens [chars/4: 737] (detailed ✓), 5 sections, 1 code blocks
[threat-model-analyst] 📊 threat-model-analyst: 1,266 BPE tokens [chars/4: 1,463] (detailed ✓), 7 sections, 0 code blocks
�[31m❌ [threat-model-analyst] File reference './references/skeletons/' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[threat-model-analyst]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[threat-model-analyst]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[copilot-cli-quickstart] 📊 copilot-cli-quickstart: 7,782 BPE tokens [chars/4: 7,225] (comprehensive ✗), 40 sections, 28 code blocks
[copilot-cli-quickstart]    ⚠  Skill is 7,782 BPE tokens (chars/4 estimate: 7,225) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[tldr-prompt] 📊 tldr-prompt: 2,900 BPE tokens [chars/4: 3,066] (standard ~), 27 sections, 11 code blocks
[tldr-prompt]    ⚠  Skill is 2,900 BPE tokens (chars/4 estimate: 3,066) — approaching "comprehensive" range where gains diminish.
[devops-rollout-plan] 📊 devops-rollout-plan: 845 BPE tokens [chars/4: 999] (detailed ✓), 19 sections, 0 code blocks
[devops-rollout-plan]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[devops-rollout-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dataverse-python-advanced-patterns] 📊 dataverse-python-advanced-patterns: 242 BPE tokens [chars/4: 291] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-advanced-patterns]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-advanced-patterns]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[containerize-aspnetcore] 📊 containerize-aspnetcore: 3,726 BPE tokens [chars/4: 3,988] (standard ~), 100 sections, 6 code blocks
[containerize-aspnetcore]    ⚠  Skill is 3,726 BPE tokens (chars/4 estimate: 3,988) — approaching "comprehensive" range where gains diminish.
[snowflake-semanticview] 📊 snowflake-semanticview: 932 BPE tokens [chars/4: 1,103] (detailed ✓), 8 sections, 4 code blocks
[roundup-setup] 📊 roundup-setup: 3,202 BPE tokens [chars/4: 3,669] (standard ~), 18 sections, 1 code blocks
[roundup-setup]    ⚠  Skill is 3,202 BPE tokens (chars/4 estimate: 3,669) — approaching "comprehensive" range where gains diminish.
[markdown-to-html] 📊 markdown-to-html: 6,711 BPE tokens [chars/4: 6,151] (comprehensive ✗), 100 sections, 50 code blocks
[markdown-to-html]    ⚠  Skill is 6,711 BPE tokens (chars/4 estimate: 6,151) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[markdown-to-html]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[comment-code-generate-a-tutorial] 📊 comment-code-generate-a-tutorial: 287 BPE tokens [chars/4: 348] (compact ✓), 0 sections, 0 code blocks
[comment-code-generate-a-tutorial]    ⚠  No section headers — agents navigate structured documents better.
[comment-code-generate-a-tutorial]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[javascript-typescript-jest] 📊 javascript-typescript-jest: 501 BPE tokens [chars/4: 559] (detailed ✓), 6 sections, 0 code blocks
[javascript-typescript-jest]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[javascript-typescript-jest]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-enterprise-onboarding] 📊 gtm-enterprise-onboarding: 3,378 BPE tokens [chars/4: 3,574] (standard ~), 15 sections, 3 code blocks
[gtm-enterprise-onboarding]    ⚠  Skill is 3,378 BPE tokens (chars/4 estimate: 3,574) — approaching "comprehensive" range where gains diminish.
[declarative-agents] 📊 declarative-agents: 925 BPE tokens [chars/4: 1,178] (detailed ✓), 10 sections, 2 code blocks
[gtm-partnership-architecture] 📊 gtm-partnership-architecture: 3,513 BPE tokens [chars/4: 3,957] (standard ~), 17 sections, 4 code blocks
[gtm-partnership-architecture]    ⚠  Skill is 3,513 BPE tokens (chars/4 estimate: 3,957) — approaching "comprehensive" range where gains diminish.
[dotnet-timezone] 📊 dotnet-timezone: 840 BPE tokens [chars/4: 976] (detailed ✓), 8 sections, 2 code blocks
[debian-linux-triage] 📊 debian-linux-triage: 223 BPE tokens [chars/4: 240] (compact ✓), 4 sections, 0 code blocks
[debian-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gtm-enterprise-account-planning] 📊 gtm-enterprise-account-planning: 3,625 BPE tokens [chars/4: 3,912] (standard ~), 16 sections, 3 code blocks
[gtm-enterprise-account-planning]    ⚠  Skill is 3,625 BPE tokens (chars/4 estimate: 3,912) — approaching "comprehensive" range where gains diminish.
[arize-annotation] 📊 arize-annotation: 1,822 BPE tokens [chars/4: 1,930] (detailed ✓), 18 sections, 7 code blocks
[arize-annotation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[folder-structure-blueprint-generator] 📊 folder-structure-blueprint-generator: 2,927 BPE tokens [chars/4: 3,470] (standard ~), 14 sections, 0 code blocks
[folder-structure-blueprint-generator]    ⚠  Skill is 2,927 BPE tokens (chars/4 estimate: 3,470) — approaching "comprehensive" range where gains diminish.
[folder-structure-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[folder-structure-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[premium-frontend-ui] 📊 premium-frontend-ui: 1,451 BPE tokens [chars/4: 1,775] (detailed ✓), 15 sections, 0 code blocks
[premium-frontend-ui]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[flowstudio-power-automate-build] 📊 flowstudio-power-automate-build: 4,164 BPE tokens [chars/4: 4,298] (standard ~), 38 sections, 15 code blocks
[flowstudio-power-automate-build]    ⚠  Skill is 4,164 BPE tokens (chars/4 estimate: 4,298) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-build]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-springboot] 📊 java-springboot: 855 BPE tokens [chars/4: 1,034] (detailed ✓), 10 sections, 0 code blocks
[java-springboot]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[finnish-humanizer] 📊 finnish-humanizer: 2,637 BPE tokens [chars/4: 1,734] (standard ~), 11 sections, 0 code blocks
[finnish-humanizer]    ⚠  Skill is 2,637 BPE tokens (chars/4 estimate: 1,734) — approaching "comprehensive" range where gains diminish.
[finnish-humanizer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[webapp-testing] 📊 webapp-testing: 802 BPE tokens [chars/4: 954] (detailed ✓), 19 sections, 7 code blocks
[phoenix-tracing] 📊 phoenix-tracing: 1,488 BPE tokens [chars/4: 1,690] (detailed ✓), 17 sections, 1 code blocks
[finalize-agent-prompt] 📊 finalize-agent-prompt: 185 BPE tokens [chars/4: 224] (compact ✓), 4 sections, 0 code blocks
[finalize-agent-prompt]    ⚠  Skill is only 185 BPE tokens (chars/4 estimate: 224) — may be too sparse to provide actionable guidance.
[finalize-agent-prompt]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[creating-oracle-to-postgres-migration-integration-tests] 📊 creating-oracle-to-postgres-migration-integration-tests: 605 BPE tokens [chars/4: 760] (detailed ✓), 4 sections, 1 code blocks
[creating-oracle-to-postgres-migration-integration-tests]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[automate-this] 📊 automate-this: 2,869 BPE tokens [chars/4: 3,107] (standard ~), 16 sections, 8 code blocks
[automate-this]    ⚠  Skill is 2,869 BPE tokens (chars/4 estimate: 3,107) — approaching "comprehensive" range where gains diminish.
[dataverse-python-quickstart] 📊 dataverse-python-quickstart: 133 BPE tokens [chars/4: 163] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-quickstart]    ⚠  Skill is only 133 BPE tokens (chars/4 estimate: 163) — may be too sparse to provide actionable guidance.
[dataverse-python-quickstart]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-quickstart]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dataverse-python-quickstart]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typescript-mcp-server-generator] 📊 typescript-mcp-server-generator: 759 BPE tokens [chars/4: 925] (detailed ✓), 12 sections, 0 code blocks
[typescript-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[agentic-eval] 📊 agentic-eval: 1,358 BPE tokens [chars/4: 1,466] (detailed ✓), 16 sections, 8 code blocks
[agentic-eval]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[next-intl-add-language] 📊 next-intl-add-language: 177 BPE tokens [chars/4: 188] (compact ✓), 0 sections, 0 code blocks
[next-intl-add-language]    ⚠  Skill is only 177 BPE tokens (chars/4 estimate: 188) — may be too sparse to provide actionable guidance.
[next-intl-add-language]    ⚠  No section headers — agents navigate structured documents better.
[next-intl-add-language]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[next-intl-add-language]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[kotlin-mcp-server-generator] 📊 kotlin-mcp-server-generator: 2,456 BPE tokens [chars/4: 2,672] (detailed ✓), 29 sections, 13 code blocks
[integrate-context-matic] 📊 integrate-context-matic: 1,412 BPE tokens [chars/4: 1,495] (detailed ✓), 12 sections, 0 code blocks
[integrate-context-matic]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[integrate-context-matic]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-github-action-workflow-specification] 📊 create-github-action-workflow-specification: 1,790 BPE tokens [chars/4: 1,915] (detailed ✓), 47 sections, 6 code blocks
[vscode-ext-commands] 📊 vscode-ext-commands: 323 BPE tokens [chars/4: 387] (compact ✓), 3 sections, 0 code blocks
[vscode-ext-commands]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[vscode-ext-commands]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[project-workflow-analysis-blueprint-generator] 📊 project-workflow-analysis-blueprint-generator: 2,236 BPE tokens [chars/4: 2,719] (detailed ✓), 20 sections, 18 code blocks
[project-workflow-analysis-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-bi-dax-optimization] 📊 power-bi-dax-optimization: 1,114 BPE tokens [chars/4: 1,390] (detailed ✓), 18 sections, 6 code blocks
[create-agentsmd] 📊 create-agentsmd: 1,651 BPE tokens [chars/4: 1,964] (detailed ✓), 36 sections, 2 code blocks
[create-spring-boot-java-project] 📊 create-spring-boot-java-project: 1,110 BPE tokens [chars/4: 1,159] (detailed ✓), 17 sections, 11 code blocks
[create-spring-boot-java-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[quasi-coder] 📊 quasi-coder: 3,116 BPE tokens [chars/4: 3,907] (standard ~), 37 sections, 11 code blocks
[quasi-coder]    ⚠  Skill is 3,116 BPE tokens (chars/4 estimate: 3,907) — approaching "comprehensive" range where gains diminish.
[create-github-issues-feature-from-implementation-plan] 📊 create-github-issues-feature-from-implementation-plan: 191 BPE tokens [chars/4: 237] (compact ✓), 4 sections, 0 code blocks
[create-github-issues-feature-from-implementation-plan]    ⚠  Skill is only 191 BPE tokens (chars/4 estimate: 237) — may be too sparse to provide actionable guidance.
[create-github-issues-feature-from-implementation-plan]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gen-specs-as-issues] 📊 gen-specs-as-issues: 1,163 BPE tokens [chars/4: 1,467] (detailed ✓), 17 sections, 0 code blocks
[gen-specs-as-issues]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-docs] 📊 java-docs: 316 BPE tokens [chars/4: 360] (compact ✓), 1 sections, 0 code blocks
[java-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[azure-resource-visualizer] 📊 azure-resource-visualizer: 2,173 BPE tokens [chars/4: 2,428] (detailed ✓), 17 sections, 1 code blocks
[excalidraw-diagram-generator] 📊 excalidraw-diagram-generator: 5,862 BPE tokens [chars/4: 5,926] (comprehensive ✗), 43 sections, 22 code blocks
[excalidraw-diagram-generator]    ⚠  Skill is 5,862 BPE tokens (chars/4 estimate: 5,926) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[update-specification] 📊 update-specification: 1,175 BPE tokens [chars/4: 1,404] (detailed ✓), 20 sections, 2 code blocks
�[31m❌ [update-specification] File reference '/spec/' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[update-specification]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[scaffolding-oracle-to-postgres-migration-test-project] 📊 scaffolding-oracle-to-postgres-migration-test-project: 527 BPE tokens [chars/4: 632] (detailed ✓), 3 sections, 1 code blocks
[scaffolding-oracle-to-postgres-migration-test-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typespec-create-api-plugin] 📊 typespec-create-api-plugin: 979 BPE tokens [chars/4: 1,013] (detailed ✓), 11 sections, 9 code blocks
[winapp-cli] 📊 winapp-cli: 2,043 BPE tokens [chars/4: 2,315] (detailed ✓), 45 sections, 8 code blocks
[mcp-create-adaptive-cards] 📊 mcp-create-adaptive-cards: 2,949 BPE tokens [chars/4: 3,136] (standard ~), 33 sections, 22 code blocks
[mcp-create-adaptive-cards]    ⚠  Skill is 2,949 BPE tokens (chars/4 estimate: 3,136) — approaching "comprehensive" range where gains diminish.
[gh-cli] 📊 gh-cli: 10,349 BPE tokens [chars/4: 9,754] (comprehensive ✗), 588 sections, 93 code blocks
[gh-cli]    ⚠  Skill is 10,349 BPE tokens (chars/4 estimate: 9,754) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[draw-io-diagram-generator] 📊 draw-io-diagram-generator: 5,377 BPE tokens [chars/4: 4,884] (comprehensive ✗), 33 sections, 12 code blocks
[draw-io-diagram-generator]    ⚠  Skill is 5,377 BPE tokens (chars/4 estimate: 4,884) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[multi-stage-dockerfile] 📊 multi-stage-dockerfile: 443 BPE tokens [chars/4: 577] (detailed ✓), 5 sections, 0 code blocks
[multi-stage-dockerfile]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[multi-stage-dockerfile]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[write-coding-standards-from-file] 📊 write-coding-standards-from-file: 3,602 BPE tokens [chars/4: 3,845] (standard ~), 30 sections, 7 code blocks
[write-coding-standards-from-file]    ⚠  Skill is 3,602 BPE tokens (chars/4 estimate: 3,845) — approaching "comprehensive" range where gains diminish.
[write-coding-standards-from-file]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-refactoring-extract-method] 📊 java-refactoring-extract-method: 786 BPE tokens [chars/4: 873] (detailed ✓), 8 sections, 5 code blocks
[java-refactoring-extract-method]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[copilot-instructions-blueprint-generator] 📊 copilot-instructions-blueprint-generator: 2,981 BPE tokens [chars/4: 3,696] (standard ~), 19 sections, 1 code blocks
[copilot-instructions-blueprint-generator]    ⚠  Skill is 2,981 BPE tokens (chars/4 estimate: 3,696) — approaching "comprehensive" range where gains diminish.
[go-mcp-server-generator] 📊 go-mcp-server-generator: 1,740 BPE tokens [chars/4: 1,759] (detailed ✓), 21 sections, 8 code blocks
[publish-to-pages] 📊 publish-to-pages: 1,127 BPE tokens [chars/4: 1,133] (detailed ✓), 16 sections, 5 code blocks
[cloud-design-patterns] 📊 cloud-design-patterns: 890 BPE tokens [chars/4: 1,139] (detailed ✓), 5 sections, 0 code blocks
[cloud-design-patterns]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[cloud-design-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[structured-autonomy-plan] 📊 structured-autonomy-plan: 677 BPE tokens [chars/4: 759] (detailed ✓), 9 sections, 1 code blocks
[arize-ai-provider-integration] 📊 arize-ai-provider-integration: 2,305 BPE tokens [chars/4: 2,216] (detailed ✓), 29 sections, 16 code blocks
[arize-ai-provider-integration]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[ruff-recursive-fix] 📊 ruff-recursive-fix: 1,470 BPE tokens [chars/4: 1,549] (detailed ✓), 20 sections, 6 code blocks
[documentation-writer] 📊 documentation-writer: 554 BPE tokens [chars/4: 686] (detailed ✓), 5 sections, 0 code blocks
[documentation-writer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[add-educational-comments] 📊 add-educational-comments: 1,346 BPE tokens [chars/4: 1,556] (detailed ✓), 17 sections, 2 code blocks
[transloadit-media-processing] 📊 transloadit-media-processing: 1,366 BPE tokens [chars/4: 1,281] (detailed ✓), 14 sections, 8 code blocks
[transloadit-media-processing]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[microsoft-code-reference] 📊 microsoft-code-reference: 966 BPE tokens [chars/4: 1,047] (detailed ✓), 13 sections, 3 code blocks
[ruby-mcp-server-generator] 📊 ruby-mcp-server-generator: 3,459 BPE tokens [chars/4: 3,631] (standard ~), 37 sections, 24 code blocks
[ruby-mcp-server-generator]    ⚠  Skill is 3,459 BPE tokens (chars/4 estimate: 3,631) — approaching "comprehensive" range where gains diminish.
[prd] 📊 prd: 993 BPE tokens [chars/4: 1,077] (detailed ✓), 25 sections, 1 code blocks
[prd]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[meeting-minutes] 📊 meeting-minutes: 1,835 BPE tokens [chars/4: 1,969] (detailed ✓), 29 sections, 1 code blocks
[meeting-minutes]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[phoenix-evals] 📊 phoenix-evals: 1,089 BPE tokens [chars/4: 1,126] (detailed ✓), 5 sections, 0 code blocks
[phoenix-evals]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[phoenix-evals]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-technical-spike] 📊 create-technical-spike: 1,358 BPE tokens [chars/4: 1,643] (detailed ✓), 33 sections, 1 code blocks
[autoresearch] 📊 autoresearch: 2,568 BPE tokens [chars/4: 2,782] (standard ~), 20 sections, 3 code blocks
[autoresearch]    ⚠  Skill is 2,568 BPE tokens (chars/4 estimate: 2,782) — approaching "comprehensive" range where gains diminish.
[update-llms] 📊 update-llms: 1,701 BPE tokens [chars/4: 2,098] (detailed ✓), 36 sections, 1 code blocks
[review-and-refactor] 📊 review-and-refactor: 152 BPE tokens [chars/4: 193] (compact ✓), 2 sections, 0 code blocks
[review-and-refactor]    ⚠  Skill is only 152 BPE tokens (chars/4 estimate: 193) — may be too sparse to provide actionable guidance.
[review-and-refactor]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[doublecheck] 📊 doublecheck: 3,254 BPE tokens [chars/4: 3,973] (standard ~), 26 sections, 3 code blocks
[doublecheck]    ⚠  Skill is 3,254 BPE tokens (chars/4 estimate: 3,973) — approaching "comprehensive" range where gains diminish.
[winui3-migration-guide] 📊 winui3-migration-guide: 2,196 BPE tokens [chars/4: 2,226] (detailed ✓), 18 sections, 13 code blocks
[spring-boot-testing] 📊 spring-boot-testing: 1,508 BPE tokens [chars/4: 1,664] (detailed ✓), 19 sections, 4 code blocks
[arize-evaluator] 📊 arize-evaluator: 6,243 BPE tokens [chars/4: 6,326] (comprehensive ✗), 57 sections, 22 code blocks
[arize-evaluator]    ⚠  Skill is 6,243 BPE tokens (chars/4 estimate: 6,326) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[aws-cdk-python-setup] 📊 aws-cdk-python-setup: 607 BPE tokens [chars/4: 650] (detailed ✓), 18 sections, 8 code blocks
[aws-cdk-python-setup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dependabot] 📊 dependabot: 2,932 BPE tokens [chars/4: 2,871] (standard ~), 43 sections, 24 code blocks
[dependabot]    ⚠  Skill is 2,932 BPE tokens (chars/4 estimate: 2,871) — approaching "comprehensive" range where gains diminish.
[rust-mcp-server-generator] 📊 rust-mcp-server-generator: 3,088 BPE tokens [chars/4: 3,190] (standard ~), 31 sections, 24 code blocks
[rust-mcp-server-generator]    ⚠  Skill is 3,088 BPE tokens (chars/4 estimate: 3,190) — approaching "comprehensive" range where gains diminish.
[mcp-create-declarative-agent] 📊 mcp-create-declarative-agent: 1,978 BPE tokens [chars/4: 2,036] (detailed ✓), 30 sections, 12 code blocks
[phoenix-cli] 📊 phoenix-cli: 1,615 BPE tokens [chars/4: 1,563] (detailed ✓), 13 sections, 12 code blocks
[phoenix-cli]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-bi-model-design-review] 📊 power-bi-model-design-review: 2,126 BPE tokens [chars/4: 2,782] (detailed ✓), 28 sections, 17 code blocks
[dataverse-python-production-code] 📊 dataverse-python-production-code: 813 BPE tokens [chars/4: 913] (detailed ✓), 9 sections, 3 code blocks
[issue-fields-migration] 📊 issue-fields-migration: 6,086 BPE tokens [chars/4: 6,052] (comprehensive ✗), 35 sections, 21 code blocks
[issue-fields-migration]    ⚠  Skill is 6,086 BPE tokens (chars/4 estimate: 6,052) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[gtm-0-to-1-launch] 📊 gtm-0-to-1-launch: 2,879 BPE tokens [chars/4: 3,186] (standard ~), 15 sections, 2 code blocks
[gtm-0-to-1-launch]    ⚠  Skill is 2,879 BPE tokens (chars/4 estimate: 3,186) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-mcp] 📊 flowstudio-power-automate-mcp: 4,522 BPE tokens [chars/4: 4,330] (standard ~), 62 sections, 11 code blocks
[flowstudio-power-automate-mcp]    ⚠  Skill is 4,522 BPE tokens (chars/4 estimate: 4,330) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-mcp]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[msstore-cli] 📊 msstore-cli: 3,864 BPE tokens [chars/4: 4,074] (standard ~), 87 sections, 37 code blocks
[msstore-cli]    ⚠  Skill is 3,864 BPE tokens (chars/4 estimate: 4,074) — approaching "comprehensive" range where gains diminish.
[power-bi-performance-troubleshooting] 📊 power-bi-performance-troubleshooting: 2,078 BPE tokens [chars/4: 2,591] (detailed ✓), 31 sections, 19 code blocks
[nuget-manager] 📊 nuget-manager: 812 BPE tokens [chars/4: 855] (detailed ✓), 11 sections, 0 code blocks
[nuget-manager]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[technology-stack-blueprint-generator] 📊 technology-stack-blueprint-generator: 1,957 BPE tokens [chars/4: 2,461] (detailed ✓), 22 sections, 0 code blocks
[technology-stack-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[technology-stack-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[nano-banana-pro-openrouter] 📊 nano-banana-pro-openrouter: 673 BPE tokens [chars/4: 664] (detailed ✓), 9 sections, 3 code blocks
[nano-banana-pro-openrouter]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[architecture-blueprint-generator] 📊 architecture-blueprint-generator: 2,519 BPE tokens [chars/4: 3,340] (standard ~), 18 sections, 0 code blocks
[architecture-blueprint-generator]    ⚠  Skill is 2,519 BPE tokens (chars/4 estimate: 3,340) — approaching "comprehensive" range where gains diminish.
[architecture-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[architecture-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mcp-copilot-studio-server-generator] 📊 mcp-copilot-studio-server-generator: 942 BPE tokens [chars/4: 1,063] (detailed ✓), 6 sections, 2 code blocks
[prompt-builder] 📊 prompt-builder: 1,302 BPE tokens [chars/4: 1,586] (detailed ✓), 20 sections, 1 code blocks
[prompt-builder]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[generate-custom-instructions-from-codebase] 📊 generate-custom-instructions-from-codebase: 1,801 BPE tokens [chars/4: 2,166] (detailed ✓), 38 sections, 2 code blocks
[java-refactoring-remove-parameter] 📊 java-refactoring-remove-parameter: 611 BPE tokens [chars/4: 738] (detailed ✓), 8 sections, 5 code blocks
[java-refactoring-remove-parameter]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[polyglot-test-agent] 📊 polyglot-test-agent: 1,611 BPE tokens [chars/4: 1,676] (detailed ✓), 22 sections, 5 code blocks
[gtm-ai-gtm] 📊 gtm-ai-gtm: 4,938 BPE tokens [chars/4: 5,300] (standard ~), 18 sections, 4 code blocks
[gtm-ai-gtm]    ⚠  Skill is 4,938 BPE tokens (chars/4 estimate: 5,300) — approaching "comprehensive" range where gains diminish.
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[noob-mode] 📊 noob-mode: 2,604 BPE tokens [chars/4: 2,765] (standard ~), 13 sections, 9 code blocks
[noob-mode]    ⚠  Skill is 2,604 BPE tokens (chars/4 estimate: 2,765) — approaching "comprehensive" range where gains diminish.
[java-junit] 📊 java-junit: 695 BPE tokens [chars/4: 746] (detailed ✓), 8 sections, 0 code blocks
[java-junit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-junit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-architectural-decision-record] 📊 create-architectural-decision-record: 690 BPE tokens [chars/4: 766] (detailed ✓), 17 sections, 1 code blocks
[create-architectural-decision-record]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[make-repo-contribution] 📊 make-repo-contribution: 1,301 BPE tokens [chars/4: 1,599] (detailed ✓), 11 sections, 0 code blocks
[make-repo-contribution]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pytest-coverage] 📊 pytest-coverage: 253 BPE tokens [chars/4: 282] (compact ✓), 0 sections, 0 code blocks
[pytest-coverage]    ⚠  No section headers — agents navigate structured documents better.
[pytest-coverage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pytest-coverage]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dataverse-python-usecase-builder] 📊 dataverse-python-usecase-builder: 1,538 BPE tokens [chars/4: 1,684] (detailed ✓), 38 sections, 5 code blocks
[azure-resource-health-diagnose] 📊 azure-resource-health-diagnose: 2,492 BPE tokens [chars/4: 2,859] (detailed ✓), 12 sections, 8 code blocks
[php-mcp-server-generator] 📊 php-mcp-server-generator: 2,723 BPE tokens [chars/4: 2,697] (standard ~), 37 sections, 25 code blocks
[php-mcp-server-generator]    ⚠  Skill is 2,723 BPE tokens (chars/4 estimate: 2,697) — approaching "comprehensive" range where gains diminish.
[create-specification] 📊 create-specification: 1,164 BPE tokens [chars/4: 1,380] (detailed ✓), 20 sections, 2 code blocks
�[31m❌ [create-specification] File reference '/spec/' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[create-specification]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-llms] 📊 create-llms: 1,487 BPE tokens [chars/4: 1,824] (detailed ✓), 33 sections, 1 code blocks
[convert-plaintext-to-md] 📊 convert-plaintext-to-md: 2,688 BPE tokens [chars/4: 2,849] (standard ~), 19 sections, 21 code blocks
[convert-plaintext-to-md]    ⚠  Skill is 2,688 BPE tokens (chars/4 estimate: 2,849) — approaching "comprehensive" range where gains diminish.
[arize-link] 📊 arize-link: 1,191 BPE tokens [chars/4: 1,073] (detailed ✓), 9 sections, 6 code blocks
[postgresql-code-review] 📊 postgresql-code-review: 1,646 BPE tokens [chars/4: 1,847] (detailed ✓), 21 sections, 8 code blocks
[semantic-kernel] 📊 semantic-kernel: 577 BPE tokens [chars/4: 756] (detailed ✓), 7 sections, 0 code blocks
[semantic-kernel]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[planning-oracle-to-postgres-migration-integration-testing] 📊 planning-oracle-to-postgres-migration-integration-testing: 438 BPE tokens [chars/4: 547] (detailed ✓), 4 sections, 1 code blocks
[planning-oracle-to-postgres-migration-integration-testing]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[postgresql-optimization] 📊 postgresql-optimization: 2,651 BPE tokens [chars/4: 2,834] (standard ~), 36 sections, 20 code blocks
[postgresql-optimization]    ⚠  Skill is 2,651 BPE tokens (chars/4 estimate: 2,834) — approaching "comprehensive" range where gains diminish.
[postgresql-optimization]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[code-exemplars-blueprint-generator] 📊 code-exemplars-blueprint-generator: 1,343 BPE tokens [chars/4: 1,678] (detailed ✓), 10 sections, 0 code blocks
[code-exemplars-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[legacy-circuit-mockups] 📊 legacy-circuit-mockups: 2,684 BPE tokens [chars/4: 2,304] (standard ~), 30 sections, 3 code blocks
[legacy-circuit-mockups]    ⚠  Skill is 2,684 BPE tokens (chars/4 estimate: 2,304) — approaching "comprehensive" range where gains diminish.
[create-github-issue-feature-from-specification] 📊 create-github-issue-feature-from-specification: 173 BPE tokens [chars/4: 228] (compact ✓), 4 sections, 0 code blocks
[create-github-issue-feature-from-specification]    ⚠  Skill is only 173 BPE tokens (chars/4 estimate: 228) — may be too sparse to provide actionable guidance.
[create-github-issue-feature-from-specification]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-architecture-autopilot] 📊 azure-architecture-autopilot: 1,758 BPE tokens [chars/4: 1,830] (detailed ✓), 16 sections, 5 code blocks
[azure-architecture-autopilot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[oo-component-documentation] 📊 oo-component-documentation: 1,025 BPE tokens [chars/4: 1,346] (detailed ✓), 9 sections, 0 code blocks
[oo-component-documentation]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[suggest-awesome-github-copilot-skills] 📊 suggest-awesome-github-copilot-skills: 1,725 BPE tokens [chars/4: 2,018] (detailed ✓), 11 sections, 1 code blocks
[create-readme] 📊 create-readme: 306 BPE tokens [chars/4: 333] (compact ✓), 2 sections, 0 code blocks
[create-readme]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-automation-fill-in-form] 📊 playwright-automation-fill-in-form: 158 BPE tokens [chars/4: 163] (compact ✓), 3 sections, 0 code blocks
[playwright-automation-fill-in-form]    ⚠  Skill is only 158 BPE tokens (chars/4 estimate: 163) — may be too sparse to provide actionable guidance.
[playwright-automation-fill-in-form]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-static-web-apps] 📊 azure-static-web-apps: 2,442 BPE tokens [chars/4: 2,373] (detailed ✓), 24 sections, 17 code blocks
[dotnet-design-pattern-review] 📊 dotnet-design-pattern-review: 599 BPE tokens [chars/4: 821] (detailed ✓), 4 sections, 0 code blocks
[dotnet-design-pattern-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-design-pattern-review]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[quality-playbook] 📊 quality-playbook: 9,277 BPE tokens [chars/4: 10,926] (comprehensive ✗), 34 sections, 6 code blocks
[quality-playbook]    ⚠  Skill is 9,277 BPE tokens (chars/4 estimate: 10,926) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[apple-appstore-reviewer] 📊 apple-appstore-reviewer: 2,047 BPE tokens [chars/4: 2,336] (detailed ✓), 36 sections, 0 code blocks
[apple-appstore-reviewer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-docs] 📊 csharp-docs: 908 BPE tokens [chars/4: 1,021] (detailed ✓), 6 sections, 0 code blocks
[csharp-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-feature-implementation] 📊 breakdown-feature-implementation: 966 BPE tokens [chars/4: 1,189] (detailed ✓), 9 sections, 2 code blocks
[breakdown-feature-implementation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[suggest-awesome-github-copilot-agents] 📊 suggest-awesome-github-copilot-agents: 1,467 BPE tokens [chars/4: 1,979] (detailed ✓), 9 sections, 0 code blocks
[suggest-awesome-github-copilot-agents]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[agent-governance] 📊 agent-governance: 4,203 BPE tokens [chars/4: 4,626] (standard ~), 33 sections, 14 code blocks
[agent-governance]    ⚠  Skill is 4,203 BPE tokens (chars/4 estimate: 4,626) — approaching "comprehensive" range where gains diminish.
[agent-governance]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-test] 📊 breakdown-test: 3,102 BPE tokens [chars/4: 3,741] (standard ~), 59 sections, 3 code blocks
[breakdown-test]    ⚠  Skill is 3,102 BPE tokens (chars/4 estimate: 3,741) — approaching "comprehensive" range where gains diminish.
[ai-prompt-engineering-safety-review] 📊 ai-prompt-engineering-safety-review: 2,185 BPE tokens [chars/4: 2,540] (detailed ✓), 19 sections, 0 code blocks
[ai-prompt-engineering-safety-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[security-review] 📊 security-review: 2,043 BPE tokens [chars/4: 2,259] (detailed ✓), 15 sections, 0 code blocks
[security-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pdftk-server] 📊 pdftk-server: 1,152 BPE tokens [chars/4: 1,186] (detailed ✓), 19 sections, 14 code blocks
[pdftk-server]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[chrome-devtools] 📊 chrome-devtools: 923 BPE tokens [chars/4: 1,037] (detailed ✓), 13 sections, 3 code blocks
[arize-dataset] 📊 arize-dataset: 3,482 BPE tokens [chars/4: 3,444] (standard ~), 51 sections, 16 code blocks
[arize-dataset]    ⚠  Skill is 3,482 BPE tokens (chars/4 estimate: 3,444) — approaching "comprehensive" range where gains diminish.
[arize-experiment] 📊 arize-experiment: 3,204 BPE tokens [chars/4: 3,167] (standard ~), 33 sections, 18 code blocks
[arize-experiment]    ⚠  Skill is 3,204 BPE tokens (chars/4 estimate: 3,167) — approaching "comprehensive" range where gains diminish.
[make-skill-template] 📊 make-skill-template: 1,227 BPE tokens [chars/4: 1,322] (detailed ✓), 15 sections, 5 code blocks
[ef-core] 📊 ef-core: 492 BPE tokens [chars/4: 670] (detailed ✓), 9 sections, 0 code blocks
[ef-core]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[ef-core]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-product-led-growth] 📊 gtm-product-led-growth: 3,048 BPE tokens [chars/4: 3,127] (standard ~), 16 sections, 3 code blocks
[gtm-product-led-growth]    ⚠  Skill is 3,048 BPE tokens (chars/4 estimate: 3,127) — approaching "comprehensive" range where gains diminish.
[remember-interactive-programming] 📊 remember-interactive-programming: 175 BPE tokens [chars/4: 221] (compact ✓), 0 sections, 0 code blocks
[remember-interactive-programming]    ⚠  Skill is only 175 BPE tokens (chars/4 estimate: 221) — may be too sparse to provide actionable guidance.
[remember-interactive-programming]    ⚠  No section headers — agents navigate structured docum

[github-actions]

Skills (part 2)

ents better.
[remember-interactive-programming]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[remember-interactive-programming]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-operating-cadence] 📊 gtm-operating-cadence: 3,798 BPE tokens [chars/4: 4,003] (standard ~), 16 sections, 4 code blocks
[gtm-operating-cadence]    ⚠  Skill is 3,798 BPE tokens (chars/4 estimate: 4,003) — approaching "comprehensive" range where gains diminish.
[context-map] 📊 context-map: 249 BPE tokens [chars/4: 287] (compact ✓), 10 sections, 1 code blocks
[containerize-aspnet-framework] 📊 containerize-aspnet-framework: 4,885 BPE tokens [chars/4: 5,202] (standard ~), 108 sections, 5 code blocks
[containerize-aspnet-framework]    ⚠  Skill is 4,885 BPE tokens (chars/4 estimate: 5,202) — approaching "comprehensive" range where gains diminish.
[reviewing-oracle-to-postgres-migration] 📊 reviewing-oracle-to-postgres-migration: 605 BPE tokens [chars/4: 762] (detailed ✓), 5 sections, 2 code blocks
[aspnet-minimal-api-openapi] 📊 aspnet-minimal-api-openapi: 343 BPE tokens [chars/4: 439] (compact ✓), 5 sections, 0 code blocks
[aspnet-minimal-api-openapi]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[aspnet-minimal-api-openapi]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[codeql] 📊 codeql: 3,212 BPE tokens [chars/4: 3,355] (standard ~), 41 sections, 19 code blocks
[codeql]    ⚠  Skill is 3,212 BPE tokens (chars/4 estimate: 3,355) — approaching "comprehensive" range where gains diminish.
[codeql]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[git-flow-branch-creator] 📊 git-flow-branch-creator: 2,629 BPE tokens [chars/4: 2,605] (standard ~), 10 sections, 9 code blocks
[git-flow-branch-creator]    ⚠  Skill is 2,629 BPE tokens (chars/4 estimate: 2,605) — approaching "comprehensive" range where gains diminish.
[gtm-technical-product-pricing] 📊 gtm-technical-product-pricing: 2,991 BPE tokens [chars/4: 3,219] (standard ~), 13 sections, 4 code blocks
[gtm-technical-product-pricing]    ⚠  Skill is 2,991 BPE tokens (chars/4 estimate: 3,219) — approaching "comprehensive" range where gains diminish.
[microsoft-agent-framework] 📊 microsoft-agent-framework: 782 BPE tokens [chars/4: 1,041] (detailed ✓), 8 sections, 0 code blocks
[microsoft-agent-framework]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[entra-agent-user] 📊 entra-agent-user: 2,238 BPE tokens [chars/4: 2,308] (detailed ✓), 25 sections, 12 code blocks
[entra-agent-user]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mentoring-juniors] 📊 mentoring-juniors: 3,400 BPE tokens [chars/4: 3,481] (standard ~), 31 sections, 2 code blocks
[mentoring-juniors]    ⚠  Skill is 3,400 BPE tokens (chars/4 estimate: 3,481) — approaching "comprehensive" range where gains diminish.
[copilot-spaces] 📊 copilot-spaces: 2,082 BPE tokens [chars/4: 2,182] (detailed ✓), 18 sections, 8 code blocks
[image-manipulation-image-magick] 📊 image-manipulation-image-magick: 1,829 BPE tokens [chars/4: 1,741] (detailed ✓), 39 sections, 18 code blocks
[playwright-explore-website] 📊 playwright-explore-website: 140 BPE tokens [chars/4: 171] (compact ✓), 2 sections, 0 code blocks
[playwright-explore-website]    ⚠  Skill is only 140 BPE tokens (chars/4 estimate: 171) — may be too sparse to provide actionable guidance.
[playwright-explore-website]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[arch-linux-triage] 📊 arch-linux-triage: 212 BPE tokens [chars/4: 232] (compact ✓), 4 sections, 0 code blocks
[arch-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-devops-cli] 📊 azure-devops-cli: 906 BPE tokens [chars/4: 954] (detailed ✓), 11 sections, 3 code blocks
[azure-devops-cli]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[fedora-linux-triage] 📊 fedora-linux-triage: 218 BPE tokens [chars/4: 230] (compact ✓), 4 sections, 0 code blocks
[fedora-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[datanalysis-credit-risk] 📊 datanalysis-credit-risk: 1,365 BPE tokens [chars/4: 1,546] (detailed ✓), 16 sections, 1 code blocks
[csharp-async] 📊 csharp-async: 379 BPE tokens [chars/4: 466] (compact ✓), 7 sections, 0 code blocks
[csharp-async]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-async]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-mcp-server-generator] 📊 csharp-mcp-server-generator: 459 BPE tokens [chars/4: 560] (detailed ✓), 9 sections, 0 code blocks
[csharp-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mcp-deploy-manage-agents] 📊 mcp-deploy-manage-agents: 2,036 BPE tokens [chars/4: 2,471] (detailed ✓), 49 sections, 2 code blocks
[what-context-needed] 📊 what-context-needed: 209 BPE tokens [chars/4: 219] (compact ✓), 9 sections, 1 code blocks
[microsoft-skill-creator] 📊 microsoft-skill-creator: 1,915 BPE tokens [chars/4: 2,100] (detailed ✓), 30 sections, 12 code blocks
�[31m❌ [microsoft-skill-creator] File reference 'sample_codes/getting-started/hello-kernel.cs' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[roundup] 📊 roundup: 2,219 BPE tokens [chars/4: 2,591] (detailed ✓), 28 sections, 0 code blocks
[roundup]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[roundup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
{Ansi.Red}Skill spec conformance failures — fix the errors above.{Ansi.Reset}

[github-actions]

Agents

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"/home/runner/work/awesome-copilot/awesome-copilot/agents/azure-principal-architect.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/pimcore-expert.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/gem-implementer-mobile.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/power-bi-performance-expert.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/dotnet-self-learning-architect.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/taxcore-technical-writer.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/CSharpExpert.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/expert-react-frontend-engineer.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/software-engineer-agent-v1.agent.md", "/home/runner/work/awesome-copilot/awesome-copilot/agents/jfrog-sec.agent.md", 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