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github-review-workflow AI Agent Skill
View Source: rarestg/rarestg-skills
MediumInstallation
npx skills add rarestg/rarestg-skills --skill github-review-workflow 5
Installs
GitHub Review Workflow
Turn a GitHub PR URL into a clean local queue of inline review threads, then work that queue one item at a time.
references/SOP.md is the canonical procedure. This file is only the entrypoint.
Prerequisites
ghinstalled and authenticatedpython3available in the shell- the current working directory is the project that owns the PR
Helper Scripts
Use the bundled scripts in this skill's scripts/ directory:
- export_github_review_comments.py exports the PR bundle into
GitHub Reviews/ - post_github_review_followup.py posts a reply and/or resolves a thread after local audit
Export
Run:
python3 scripts/export_github_review_comments.py <pr-url>Optional: add --strip-ai-prompts if you want the exported review item bodies to drop embedded Prompt for AI Agents sections.
Then open:
references/SOP.mdGitHub Reviews/pr-<number>-<slug>/README.mdGitHub Reviews/pr-<number>-<slug>/context/00-dispatch-guidance.mdGitHub Reviews/pr-<number>-<slug>/context/01-coderabbit-walkthrough.mdif it exists
Non-Negotiables
- Work
todo/sequentially - Do a local merit pass before changing code
- For accepted items, delegate to a fresh sub-task with no prior conversation context (
fork_context: falsewhere applicable), and give it onlycontext/00-dispatch-guidance.md,context/01-coderabbit-walkthrough.mdif present, and the assigned review item file - Do not mention the rest of the queue in the worker prompt
- Audit locally before moving files to
done/orignored/ - Use
python3 scripts/post_github_review_followup.py <review-item-file> ...only after local audit
Installs
Security Audit
View Source
rarestg/rarestg-skills
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How to use this skill
Install github-review-workflow by running npx skills add rarestg/rarestg-skills --skill github-review-workflow in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of github-review-workflow, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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