プルリクエスト作成後、レビューコメント、CIチェック/ワークフロー実行、マージ可否状態を継続的にポーリングし、PRがマージ/クローズされるかユーザーの支援が必要になるまで監視します。失敗を診断し、フレーキーな失敗は最大3回再試行し、必要に応じてブランチ関連の問題を自動修正/プッシュし、オープンなPRを監視し続けて新しいレビューフィードバックを迅速に表面化します。ユーザーがCodexにPRの監視、CIの監視、レビューコメントの処理、またはオープンなPRの失敗やフィードバックの監視を依頼したときに使用します。
このスキルは、GitHubプルリクエスト（PR）のライフサイクルを自動的に監視・管理します。PR作成後、レビューコメント、CIチェック、ワークフロー実行、マージ可否状態を継続的にポーリングし、PRがマージされるかクローズされるまで、あるいはユーザーの介入が必要になるまで監視を続けます。失敗を診断し、フレーキーなテストやワークフローは最大3回まで自動再試行します。また、ブランチの自動修正やプッシュなど、適切な場合は自動修正を行います。このスキルは、ユーザーがCodexエージェントに「このPRを監視して」「CIが完了するまで見ていて」「レビューコメントがあれば教えて」「失敗やフィードバックをチェックして」と依頼した場合に使用されます。開発者はPRの状態を手動で確認する手間から解放され、CIパイプラインの安定性やコードレビューの効率が向上します。
npx skills add https://github.com/openai/codex/tree/main/skills/babysit-prInstalled? Explore more 生産性＆コラボレーション skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
プルリクエスト作成後、レビューコメント、CIチェック/ワークフロー実行、マージ可否状態を継続的にポーリングし、PRがマージ/クローズされるかユーザーの支援が必要になるまで監視します。失敗を診断し、フレーキーな失敗は最大3回再試行し、必要に応じてブランチ関連の問題を自動修正/プッシュし、オープンなPRを監視し続けて新しいレビューフィードバックを迅速に表面化します。ユーザーがCodexにPRの監視、CIの監視、レビューコメントの処理、またはオープンなPRの失敗やフィードバックの監視を依頼したときに使用します。
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.