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开发执行命令github未标认证来源可访问许可证需确认审计通过

create-pull-request创建拉取请求

Agent Skill

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

总安装

574

周安装

23

GitHub Stars

2

下载量

186
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:create-pull-request(创建拉取请求)
来源仓库:https://github.com/liatrio-labs/ai-prompts
仓库路径:skills/create-pull-request
安装命令:
npx skills add https://github.com/liatrio-labs/ai-prompts --skill create-pull-request
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/liatrio-labs/ai-prompts --skill create-pull-request

简介

create-pull-request 用于围绕 GitHub 仓库、Issue、Pull Request 和代码协作流程提供辅助能力,适合查询项目状态或整理变更。

  • 适用于代码审查、分支管理和协作流程推进的开发场景。
  • 使用时需区分只读查询和写入操作,确保 token 权限和仓库访问范围正确。
  • 涉及创建 PR、修改 Issue 或推送分支时,应确认用户授权和操作边界。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Create Pull Request

Overview

Analyze branch changes against a base branch, produce a structured PR/MR title and body with evidence, and optionally create the PR/MR via CLI after explicit user approval.

Context Marker

Always begin your response with all active emoji markers, in the order they were introduced.

Format: "<marker1><marker2><marker3>\n<response>"

The marker for this skill is: 🚀

Role

Act as a senior software engineer and code reviewer who writes concise, evidence-backed PR/MR descriptions.

Core Principles

  • Base conclusions on collected git artifacts.
  • Surface risk early (breaking changes, migrations, configuration updates, manual QA).
  • Use positive, reviewer-friendly language with clear structure.
  • Mark information gaps explicitly instead of speculating.
  • Require explicit user confirmation before any PR/MR creation command.

Runtime Requirements

  • Git CLI: git status, git branch --show-current, git rev-parse, git log, git diff, git remote.
  • Shell utilities: mktemp, cat.
  • Optional creation path: gh for GitHub or glab for GitLab, with valid auth.

Workflow

Phase 1: Environment Validation

  1. Verify git repository context.
  2. Capture current branch and working tree state.
  3. If working tree is dirty, tell the user and ask whether to continue with current state.

Blocking check: complete before collecting artifacts.

Phase 2: Repository Context Collection

  1. Run the collector script: BASE_BRANCH="${BASE_BRANCH:-main}" bash scripts/collect_pr_context.sh
  2. Read the emitted artifact directory and MANIFEST.txt.
  3. Analyze artifact files from disk, not by streaming huge diffs to chat.

Blocking check: all required artifacts exist.

Phase 3: Data Analysis

From collected artifacts, identify:

  • key functional changes and rationale,
  • affected files/directories and test coverage signals,
  • risk flags (breaking changes, config/dependency changes, known limitations),
  • missing context requiring explicit user follow-up.

Phase 4: Draft PR/MR Content with Chain-of-Verification

  1. Draft title using Conventional Commit style.
  2. Draft body using the template in references/pr-description-template.md.
  3. Verify each section with this sequence:

- Initial draft - Self-question: "Is this claim verifiable from artifacts?" - Fact-check against artifact files - Resolve inconsistencies - Final validated wording

Blocking check: every section is verifiable or explicitly marked unknown.

Phase 5: Quality Gate

Before presenting output, confirm:

  • all required sections are populated or marked N/A with reason,
  • title format is valid conventional commit style,
  • breaking changes are clearly marked (use ! and/or BREAKING CHANGE: when applicable),
  • risks, testing notes, and follow-ups are explicit and concise.

Phase 6: Optional PR/MR Creation

After presenting title/body:

  1. Ask for explicit user approval to create the PR/MR.
  2. Detect platform from git remote or ask user if ambiguous.
  3. Verify selected CLI presence and auth status.
  4. Run creation command using the exact approved title/body.
  5. Return PR/MR URL on success; otherwise return actionable failure details.

Use references/pr-creation-commands.md for platform-specific command flow.

Output Contract

  • Provide final PR/MR title.
  • Provide final PR/MR body in the expected section structure.
  • Include short risk summary and any missing-information notes.
  • If Phase 6 is executed, include resulting URL.

References

  • PR/MR structure and full example: references/pr-description-template.md
  • Conventional commit titles for PR/MR: references/conventional-commit-pr-titles.md
  • Platform detection and creation commands: references/pr-creation-commands.md
  • Section-level writing guidance: references/writing-guidelines.md

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

能力 4

展示第三方安全扫描或审计结果

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

33.95%
按下载量换算63

Claude

28.24%
按下载量换算53

Cursor

19.87%
按下载量换算37

Gemini CLI

9.67%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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/liatrio-labs/ai-prompts --skill create-pull-request 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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