babysit-pr 是做什麼的？
在 GitHub Pull Request 建立後持續監控，包括輪詢審查評論、CI 檢查/工作流程執行以及合併狀態，直到 PR 被合併/關閉或需要使用者介入。診斷失敗、重試可能的不穩定失敗（最多 3 次）、在適當時自動修復/推送分支相關問題，並持續關注開啟的 PR，以便即時呈現新的審查反饋。當使用者要求 Codex 監控 PR、觀察 CI、處理審查評論或關注開啟 PR 上的失敗與反饋時使用此技能。
在 GitHub Pull Request 建立後持續監控，包括輪詢審查評論、CI 檢查/工作流程執行以及合併狀態，直到 PR 被合併/關閉或需要使用者介入。診斷失敗、重試可能的不穩定失敗（最多 3 次）、在適當時自動修復/推送分支相關問題，並持續關注開啟的 PR，以便即時呈現新的審查反饋。
這項技能旨在自動化 GitHub Pull Request 的後續監控與管理流程。當使用者要求 Codex 監控 PR、觀察 CI、處理審查評論或關注開啟 PR 上的失敗與反饋時，此技能會持續輪詢 PR 的審查評論、CI 檢查/工作流程執行狀態以及合併條件，直到 PR 成功合併或關閉。它能夠診斷 CI 失敗，針對可能為不穩定的失敗自動重試最多三次，並在適當時機自動修復與推送分支相關的問題，例如合併衝突或過期分支。此技能支援 GitHub 平台，並整合了 GitHub API 來獲取最新狀態與觸發動作。通過持續監控，它確保使用者不會錯過任何新的審查反饋，從而提升開發效率與 PR 管理體驗。
npx skills add https://github.com/openai/codex/tree/main/skills/babysit-prInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在 GitHub Pull Request 建立後持續監控，包括輪詢審查評論、CI 檢查/工作流程執行以及合併狀態，直到 PR 被合併/關閉或需要使用者介入。診斷失敗、重試可能的不穩定失敗（最多 3 次）、在適當時自動修復/推送分支相關問題，並持續關注開啟的 PR，以便即時呈現新的審查反饋。當使用者要求 Codex 監控 PR、觀察 CI、處理審查評論或關注開啟 PR 上的失敗與反饋時使用此技能。
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.