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ai-coding-workflow
ai-coding-workflow contiene 8 skills recopiladas de nathnotifia, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Log durable agent learnings as JSON entries for reuse across tasks.
Split an approved PRD/EPIC into child TASK issues (create tasks, link back to EPIC, ensure Execution/Proof task exists).
Dev agent workflow for implementing a GitHub issue end-to-end in a git worktree (code + tests + E2E + PR). Use as the Dev sub-agent.
Merge captain workflow to safely merge a PR for a GitHub issue after QA PASS (checks, reviews, merge, cleanup). Use as the Merge sub-agent.
Orchestrate a GitHub issue end-to-end (Dev -> QA -> Merge) using sub-agents in a git worktree.
Final-line QA gate for GitHub issues in a worktree. Proves every requirement with evidence (tests + E2E) and outputs PASS/FAIL with actionable fixes.
Run the PRD/EPIC workflow (requirements → simplification → decision-complete EPIC + child TASK breakdown with Execution/Proof).
Clarify ambiguous requirements through focused dialogue before implementation. Run automatically when working with github issues. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.