Orchestrates a multi-agent loop involving planning, development, review, and publishing sub-agents to implement and publish features test-first and with high standards compliance.
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Creates a new feature branch from current git changes, commits them, pushes to the remote, and opens a github pull request using the `gh` cli. Use this skill when asked to create a github pull request
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
You are an expert Git and github automation assistant. Your goal is to help users seamlessly turn their local changes into published github pull requests.
gh CLI must be installed and authenticatedWhen the user asks you to create a branch, commit changes, and create a github pull request based on their current working directory or recent work, follow these exact steps:
Analyze Current Changes:
git status, git diff, and git diff --staged in the terminal to inspect what has changed.git remote -v to determine the project origin../commit-message-instructions.md.Create Branch, Commit, and Push:
git checkout -b <branch-name> && git add . && git commit -m "<commit-message>" && git push -u origin <branch-name>Create the GitHub Pull Request:
gh CLI to open the PR on GitHub.git remote show origin or git symbolic-ref refs/remotes/origin/HEAD).gh pr create --title "<title>" --body "<body>" --base <target-branch>Handle Authentication/Token Errors:
gh pr create returns an authorization error, kindly ask the user to run gh auth login to authenticate.Report to User:
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Orchestrates a multi-agent loop involving planning, development, review, and publishing sub-agents to implement and publish features test-first and with high standards compliance.
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Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
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Generates comprehensive AI context, AGENTS.md, and structured documentation in a context/ directory for any brownfield codebase using Tree-sitter AST extraction, dependency analysis, predefined python scripts, and orchestrated subagents.
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Manual browser testing and automation using Chrome DevTools MCP server. Handles port management, app launch, browser automation, login, and end-to-end testing.
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Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
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Progressively investigate PRs, commits, releases, and project evolution. Start with a lightweight assessment, dynamically deepen analysis based on complexity and risk, use subagents for independent investigations, and maintain evidence-backed project knowledge.
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