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Found 57 Skills
AI 에이전트와 협업하는 에이전틱 개발의 범용 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학을 정의. 모든 AI 코딩 도구에 적용 가능.
Use only then explicitly asked.
Design stress-test engine. Does NOT generate designs — it pressure-tests YOUR existing draft against real-world edge cases, code constraints, and failure paths. One sharp question at a time, drilling down the decision tree, using code facts to stress-test assumptions, then outputs a tight Facet Brief. NOT for: executing clear tasks, factual Q&A, or pure brainstorming (go brainstorm first, then come back with a direction). Triggers: "facet / pressure-test this plan / stress-test the design".
Execute a written implementation plan task-by-task with inline verification. Stop and ask on blockers. No forced sub-skill chains. Use when a plan exists and you're ready to implement.
Runs the full validator workflow after coding tasks for requests such as "run the validator", "run final verification", "validate before commit", or "run validation". Executes checks and reviews before commit, push, or PR creation.
Code review practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.
The ultimate autonomous dev pipeline. Combines wavybaby (CoVe verification, skill discovery, MCP tooling) + GSD (roadmaps, phases, plans, discovery, state tracking) + Ralph (autonomous loop with circuit breakers). Generates a PRD, equips itself with the best tools, bootstraps a full GSD .planning/ structure, then runs Ralph to autonomously execute each plan with CoVe-verified code until the milestone is complete.
Verify review or audit findings and fix confirmed issues
Finish an open PR by batching review feedback, applying valid fixes, running verification, pushing once per batch, and monitoring CI with bounded waits. Use when the user asks to update code until PR review comments are handled, review-all has no valid blocking findings, and required checks pass.
Identify, analyze, and document malware distribution repositories masquerading as legitimate software
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
Automatically resolve merge conflicts in the current PR. Fetches the base branch, attempts a merge, identifies conflicting files, analyzes both sides, resolves conflicts, verifies locally, and pushes. Use when PR has merge conflicts detected by poll-pr-status.sh.