What you would like to be added?
Add AI scaffolding infrastructure covering Tier 2 and Tier 4 checks for the distributed-workloads repo:
Tier 2 (pattern references, agent hooks, design intent docs):
.claude/skills/add-e2e-test/SKILL.md — test-writing guide extracted from AGENTS.md into a callable skill
.claude/settings.json — PostToolUse hook to auto-run openshift-goimports after Go file edits
ARCHITECTURE.md — documents test suite structure, suite relationships, and shared support library design
Tier 4 (on-demand skills system with 3+ skills):
- The
add-e2e-test skill created above serves as the foundation
- Additional skills (e.g.,
add-benchmark/, update-support-lib/) to reach the 3+ skill threshold
Why is this needed?
AI Scaffolding audit identified gaps in the distributed-workloads repo:
- No
.claude/skills/ directory for extracting reusable patterns
- No agent-specific hooks for deterministic enforcement
- No design intent documentation
These scaffolding improvements help AI assistants work more effectively with the codebase by providing structured guidance for common change patterns, automated formatting enforcement, and architectural context.
What you would like to be added?
Add AI scaffolding infrastructure covering Tier 2 and Tier 4 checks for the distributed-workloads repo:
Tier 2 (pattern references, agent hooks, design intent docs):
.claude/skills/add-e2e-test/SKILL.md— test-writing guide extracted from AGENTS.md into a callable skill.claude/settings.json— PostToolUse hook to auto-runopenshift-goimportsafter Go file editsARCHITECTURE.md— documents test suite structure, suite relationships, and shared support library designTier 4 (on-demand skills system with 3+ skills):
add-e2e-testskill created above serves as the foundationadd-benchmark/,update-support-lib/) to reach the 3+ skill thresholdWhy is this needed?
AI Scaffolding audit identified gaps in the distributed-workloads repo:
.claude/skills/directory for extracting reusable patternsThese scaffolding improvements help AI assistants work more effectively with the codebase by providing structured guidance for common change patterns, automated formatting enforcement, and architectural context.