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* feat(rules): add subagents.md — when, how, and when not to delegateCraig Jennings48 hours1-0/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | Cross-cutting rule covering subagent hygiene: - Decision table: parallel-safe (read-only investigation, independent test failures, multi-domain research) vs sequential-with-review (plan execution, coupled edits) vs never-parallel (concurrent writes) vs don't-subagent-at-all (target known, work fits in ~10 tool calls). - Prompt contract: scope / pasted context / explicit 'do NOT' list / required output format. Missing any field yields shallow work. - Context-pollution rule: subagents absorb noise the main thread shouldn't carry. When one fails, dispatch a fix-agent with the failure report — do not retry in the orchestrator. - Review-gate cadence: after each sequential task, or every ~3 in parallel batches. - Anti-patterns including parallel implementation on overlapping files, broad 'fix all the tests' prompts, timeout-tuning to mask flakes, and letting the agent decide scope. Added one-line cross-references to subagents.md from debug/, review-code/, and finish-branch/ SKILL.md — the skills that most rely on delegation. Clean-room synthesis from NeoLabHQ/context-engineering-kit's subagent-driven-development pattern (MIT).
* refactor: review-pr → review-code with superpowers + plugin-lifted ↵Craig Jennings2 days1-0/+347
improvements Renamed review-pr → review-code (the skill accepts PR, SHA range, current branch, staged changes — "pr" was understating scope). Rewrote SKILL.md with YAML frontmatter (previously header-style) and merged useful patterns from two sources: From obra/superpowers skills/requesting-code-review: - Intent-vs-delivery grading (given plan/ADR/ticket) - Mandatory Strengths section (three minimum) - Per-issue Critical/Important/Minor severity (per-criterion PASS/WARN/FAIL retained; complementary axes) - Required verdict + 1-2 sentence reasoning - Multi-input support (PR / SHA range / current branch / --staged) - Sub-agent dispatch recommendation for heavy reviews - Concrete filled-in example output From the claude-plugins-official code-review plugin: - Phase 0 eligibility gate (skip closed/draft/auto/trivial/already-reviewed) - CLAUDE.md traversal + adherence criterion (reads root + per-directory CLAUDE.md files; audits the diff against stated rules) - Multi-perspective Phase 2: five passes (CLAUDE.md adherence, shallow bug scan, git history context, prior PR comments, in-scope code comments). For large reviews, dispatch as parallel sub-agents. - Confidence filter (High/Medium/Low; drop Low before reporting) - False-positive categories explicitly enumerated (pre-existing issues on unmodified lines, lint/typecheck issues CI handles, senior-wouldn't-call-out nitpicks, silenced issues with valid reason, intentional scope changes, unmodified-line issues, framework-behavior tests) - Trust-CI discipline (don't run builds yourself) Substance from the original review-pr kept verbatim: - DeepSat-specific criteria (security, TDD evidence, conventions, no-AI-attribution, API contracts, architecture layering, root-cause discipline) Size: 60 lines → 347 lines. Growth is structural (added phases, added example, added perspectives, added filters) not verbose — each section earns its lines. NOT adopted from the plugin: - GitHub comment output format (plugin posts PR comments; review-code outputs a markdown report the user can paste if they want) - "Generated with Claude Code" footer (violates no-AI-attribution rule) - Specific 0/25/50/75/100 confidence scale (Critical/Important/Minor covers the same signal with less ceremony) Makefile SKILLS updated: review-pr → review-code. Old ~/.claude/skills/review-pr symlink removed; make install creates the new one at ~/.claude/skills/review-code.