GitHub 풀 리퀘스트가 병합되거나 닫힐 때까지 리뷰 댓글, CI 검사/워크플로 실행, 병합 가능 상태를 지속적으로 폴링하여 관리합니다. 실패를 진단하고, 일시적인 실패는 최대 3회 재시도하며, 적절한 경우 브랜치 관련 문제를 자동 수정/푸시하고, 새로운 리뷰 피드백을 신속하게 표시하기 위해 열린 PR을 계속 모니터링합니다.
이 스킬은 생성된 GitHub Pull Request를 지속적으로 모니터링하여 병합되거나 닫힐 때까지 관리합니다. 리뷰 댓글, CI 검사, 워크플로 실행, 병합 가능 상태를 주기적으로 폴링하여 실패를 진단하고, 일시적인 실패(플래키)는 최대 3회까지 자동 재시도합니다. 브랜치 관련 문제가 발생하면 적절히 자동 수정 및 푸시하며, 열린 PR에 새로운 리뷰 피드백이 들어오면 신속히 사용자에게 알립니다. 주로 Codex와 같은 AI 코딩 어시스턴트 환경에서 사용자가 PR 모니터링, CI 감시, 리뷰 댓글 처리, 또는 실패 및 피드백 추적을 요청할 때 활용됩니다. GitHub의 Pull Request API, Checks API, Workflow Runs API 등을 사용하여 상태를 실시간으로 추적하고, 필요한 경우 Git 명령어를 통해 자동 수정을 수행합니다.
npx skills add https://github.com/openai/codex/tree/main/skills/babysit-prInstalled? Explore more 생산성 & 협업 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
풀 리퀘스트가 생성된 후, 병합되거나 닫히거나 사용자의 도움이 필요할 때까지 리뷰 댓글, CI 검사/워크플로 실행, 병합 가능 상태를 지속적으로 폴링하여 관리합니다. 실패를 진단하고, 일시적(플래키) 실패는 최대 3회까지 재시도하며, 적절한 경우 브랜치 관련 문제를 자동 수정/푸시하고, 새로운 리뷰 피드백이 신속히 표시되도록 열린 PR을 계속 감시합니다. 사용자가 Codex에 PR 모니터링, CI 감시, 리뷰 댓글 처리, 또는 열린 PR의 실패 및 피드백 추적을 요청할 때 사용하세요.
This repo contains 19 individual skills — each has its own dedicated page.
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.
Run a final code review on a pull request
Change size guidance (800 lines)
Model visible context
Test authoring guidance
Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.
Run a GitHub issue digest for openai/codex by feature-area labels, all areas, and configurable time windows. Use when asked to summarize recent Codex bug reports or enhancement requests, especially for owner-specific labels such as tui, exec, app, or similar areas.
Update the title and body of one or more pull requests.
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
Guide for testing Codex TUI interactively
Choose Rust types for operating system paths across the Codex repository. Use when defining new path-bearing types or explicitly migrating existing ones.
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.
Pushing GitHub Actions changes, resolving push rejection, requesting upload exceptions.
Testing against remote executors in integration tests.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
Guide for testing Codex TUI interactively
Update Codex's pinned `v8` / `rusty_v8` versions, validate the release-candidate path, and investigate failed V8 canary or artifact builds. Use when asked to bump V8, update `rusty_v8` artifacts, prepare or validate a V8 release candidate, check `v8-canary`, or diagnose why a V8 version update no longer builds.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.