github-review-workflow

Export a PR's clean inline review comments into local files, then triage and address them sequentially with focused agents. Use when given a GitHub pull request URL and asked to work through review comments without relying on noisy raw API blobs.

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Install skill "github-review-workflow" with this command: npx skills add rarestg/rarestg-skills/rarestg-rarestg-skills-github-review-workflow

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

  • gh installed and authenticated
  • python3 available 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

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.md
  • GitHub Reviews/pr-<number>-<slug>/README.md
  • GitHub Reviews/pr-<number>-<slug>/context/00-dispatch-guidance.md
  • GitHub Reviews/pr-<number>-<slug>/context/01-coderabbit-walkthrough.md if 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: false where applicable), and give it only context/00-dispatch-guidance.md, context/01-coderabbit-walkthrough.md if 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/ or ignored/
  • Use python3 scripts/post_github_review_followup.py <review-item-file> ... only after local audit

Source Transparency

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