en un clic
ai-coding-workflow
ai-coding-workflow contient 8 skills collectées depuis nathnotifia, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
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.