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resolve_pr_parallel解决并行问题

Agent Skill

resolve_pr_parallel 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,787

周安装

73

GitHub Stars

15,864

下载量

572
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:resolve_pr_parallel(解决并行问题)
来源仓库:https://github.com/everyinc/compound-engineering-plugin
仓库路径:skills/resolve_pr_parallel
安装命令:
npx skills add https://github.com/everyinc/compound-engineering-plugin --skill resolve-pr-parallel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/everyinc/compound-engineering-plugin --skill resolve-pr-parallel

简介

resolve-pr-parallel 用于并行处理 PR 评审意见,为每个评论线程分配独立 Agent 完成修复。

  • 它通过 GraphQL 脚本获取未解决评论,避免遗漏并提升反馈闭环速度。
  • 适用于大型 PR 或多线程评审场景,显著缩短等待时间。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写等操作。
  • resolve_pr_parallel 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Resolve PR Comments in Parallel

Resolve all unresolved PR review comments by spawning parallel agents for each thread.

Context Detection

Detect git context from the current working directory:

  • Current branch and associated PR
  • All PR comments and review threads
  • Works with any PR by specifying the number

Workflow

1. Analyze

Fetch unresolved review threads using the GraphQL script at scripts/get-pr-comments:

bash scripts/get-pr-comments PR_NUMBER

This returns only unresolved, non-outdated threads with file paths, line numbers, and comment bodies.

If the script fails, fall back to:

gh pr view PR_NUMBER --json reviews,comments
gh api repos/{owner}/{repo}/pulls/PR_NUMBER/comments

2. Plan

Create a task list of all unresolved items grouped by type (e.g., TaskCreate in Claude Code, update_plan in Codex):

  • Code changes requested
  • Questions to answer
  • Style/convention fixes
  • Test additions needed

3. Implement (PARALLEL)

Spawn a compound-engineering:workflow:pr-comment-resolver agent for each unresolved item.

If there are 3 comments, spawn 3 agents — one per comment. Prefer running all agents in parallel; if the platform does not support parallel dispatch, run them sequentially.

Keep parent-context pressure bounded:

  • If there are 1-4 unresolved items, direct parallel returns are fine
  • If there are 5+ unresolved items, launch in batches of at most 4 agents at a time
  • Require each resolver agent to return a short status summary to the parent: comment/thread handled, files changed, tests run or skipped, any blocker that still needs human attention, and for question-only threads the substantive reply text so the parent can post or verify it

If the PR is large enough that even batched short returns are likely to get noisy, use a per-run scratch directory such as .context/compound-engineering/resolve-pr-parallel/<run-id>/:

  • Have each resolver write a compact artifact for its thread there
  • Return only a completion summary to the parent
  • Re-read only the artifacts that are needed to resolve threads, answer reviewer questions, or summarize the batch

4. Commit & Resolve

  • Commit changes with a clear message referencing the PR feedback
  • Resolve each thread programmatically using scripts/resolve-pr-thread:
bash scripts/resolve-pr-thread THREAD_ID
  • Push to remote

5. Verify

Re-fetch comments to confirm all threads are resolved:

bash scripts/get-pr-comments PR_NUMBER

Should return an empty array []. If threads remain, repeat from step 1.

If a scratch directory was used and the user did not ask to inspect it, clean it up after verification succeeds.

Scripts

Success Criteria

  • All unresolved review threads addressed
  • Changes committed and pushed
  • Threads resolved via GraphQL (marked as resolved on GitHub)
  • Empty result from get-pr-comments on verify

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.46%
按下载量换算203

Claude

31.24%
按下载量换算179

Cursor

16.5%
按下载量换算94

Gemini CLI

9.54%
按下载量换算55

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/everyinc/compound-engineering-plugin --skill resolve-pr-parallel 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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