- Python → Node.js ESM — all runtime scripts (.py) replaced with .mjs: agent_runner, 3 hooks, analyze_test_logs; Python dependency eliminated
⚠️ BREAKING - ln-1000 redesign — TeamCreate/heartbeat replaced with sequential Skill() calls; quality gate (ln-500) and test planning (ln-520) can no longer be skipped
⚠️ BREAKING - Bundled hashline.mjs — hash-verified file editing tool included in repo; external hashline-edit MCP dependency removed
⚠️ BREAKING - ln-162 D10/D11 — new skill review dimensions: Cross-Skill Behavioral Contracts and Resource Lifecycle Integrity
- Tool preferences centralized — single source of truth in mcp_tool_preferences.md; 4 SKILL.md sections deduplicated
- Agent process tree kill — agent_runner kills entire process tree (not just immediate child) on both timeout and normal completion;
--verify-deadCLI flag for safety net checks - Python advanced tools mandatory — import-linter, deptry, vulture, pip-audit promoted from optional to required in linter configurator; new config templates added
- Multi-stack verification matrix — quality setup coordinator now has tool matrix across TypeScript/Python/.NET for all verification checks
- Epistemic protocol — new
shared/references/epistemic_protocol.mdfor source attribution and anti-hallucination across all research skills; integrated into research_tool_fallback, phase2_research_audit, solution_validation - Description triggers + agent timeout 30min — all 125 descriptions rewritten with "Use when..." triggers; ln-162 reviewer gains M6 + CHECK 14; all agent hard timeouts raised to 30 min; 7XX bootstrap skills get Meta-Analysis sections
- Codex Windows performance — agent_runner auto-detects Windows and prepends prompt hint directing Codex to prefer built-in file read over PowerShell shell commands (5-15s overhead per call)
- Multi-cycle optimization — performance pipeline now iterates (profile → research → validate → execute → repeat) until target met or plateau detected; each cycle discovers new bottlenecks as dominant ones are fixed (Amdahl's law)
- Cross-service performance profiling — optimization pipeline traces bottlenecks across microservices (monorepo, git submodules, docker-compose); profiles inside accessible services instead of treating them as black boxes
- Community Engagement plugin — new plugin with skills for automated GitHub community management: triage issues/PRs, compose announcements, launch RFC debates, respond to threads
- Token efficiency: output normalization — new shared reference normalizes, deduplicates, and groups CLI output before presenting to agent; reduces noise in test runners, build auditors, profilers, log analyzers
- Skill reviewer automated script — ln-162 Phase 2 checks now run via executable
run_checks.shinstead of manual template assembly
- Agent sandbox fix — plan files from outside project workspace now materialized for agent access (Gemini CLI CWD restriction)
- Test log analysis — new skill classifies errors from Docker/file/Loki logs into 4 categories; only Real Bugs block quality verdict
- Documentation skill extraction — scan project docs, extract procedural content into reusable
.claude/commandswith quality review
- Pipeline orchestrator hardening — Plan Gate now enforced at all 5 stages, worker prompts consolidated
- Plugin marketplace — split into 5 focused plugins installable individually: agile-workflow, documentation-pipeline, codebase-audit-suite, project-bootstrap, optimization-suite
- Optimization Suite — new plugin with 11 skills: full-stack performance optimization (profile → research → execute), dependency upgrades (npm/NuGet/pip), code modernization (OSS replacement, bundle optimization)
- Destructive operation safety — all skills now classify destructive actions by severity with human-in-the-loop gates
- Two-layer detection — audit skills now use grep pre-filter + AI context analysis instead of pure AI scanning (faster, fewer false positives)
- Documentation fact-checker — new skill extracts verifiable claims from .md files (paths, versions, configs) and cross-checks against codebase
- Pipeline Orchestrator — one command drives a Story through the full lifecycle: task planning → validation → implementation → quality gate → merge to develop. Uses Agent Teams for parallel worker coordination
- Multi-round agent debate — Codex/Gemini sessions now persist across challenge rounds, preserving full reasoning context during disagreements
- Multi-model code review — parallel Codex + Gemini analysis with Critical Verification: Claude independently validates each suggestion and debates controversial findings (max 2 rounds)
- Risk Analysis in validation — 6 risk categories with Impact × Probability scoring before Story approval
- Persistence performance audit — new skills for query efficiency, transaction correctness, blocking I/O, resource lifecycle analysis
- Project Bootstrap — 32 new skills for scaffolding production-ready projects or transforming existing ones to Clean Architecture. Supports React, .NET, Python with Docker, CI/CD, security scanning, and quality tooling setup
- RICE prioritization — new skill scores Stories by Reach, Impact, Confidence, Effort with automated market research
- Validation overhaul — universal pattern detection (OAuth, REST, ML pipelines) with fast path for trivial CRUD stories
- 100x token reduction — coordinators now load Story/Task metadata only (~50 tokens vs ~5,000), delegating full reads to workers
- Orchestrator-Worker architecture — 3-level hierarchy (L1 orchestrators → L2 coordinators → L3 workers) with Progressive Disclosure for 24-40% documentation reduction
- v1.0.0 — 17 skills automating Agile workflow end-to-end: scope decomposition, task execution, quality gates, Linear integration, Risk-Based Testing