
Pr Writing Review
Pulls editorial feedback from GitHub PR comments and turns it into a structured learning resource. You paste in a PR URL where docs or blog posts got reviewed, and it extracts explicit suggestions (the before/after code blocks), plain text feedback, and optionally the full first draft versus final version. The analysis workflow is smart: it walks you through cataloging mechanical fixes, mapping vague feedback to actual changes, and synthesizing style patterns across clarity, tone, and structure. Handles file renames across commits. Most useful when you want to learn from how experienced editors improved your writing rather than just merging their changes and moving on. The diff mode with truncation flags keeps output LLM friendly even for long documents.
- GitHub stars
- 3.8K
- last updated
- Jun 11, 2026
Install
$ npx -y skills add evalstate/fast-agent --skill pr-writing-review --agent claude-codeInstalls into .claude/skills of the current project.
Files
PR Writing Review
Extract editorial feedback from GitHub PRs to learn from review improvements.
Prerequisites
- GitHub CLI:
ghinstalled - Authenticated
ghsession:gh auth statusshould show you’re logged in- For private repos, your token needs appropriate scopes (typically
repo).
- For private repos, your token needs appropriate scopes (typically
- Python: 3.12+
- uv (recommended): https://github.com/astral-sh/uv
Division of Labor
| Tool | Responsibility |
|---|---|
| Python script | API calls, parsing, file tracking across renames, structured extraction |
| LLM analysis | Pattern recognition, paragraph comparison, style lesson synthesis |
Quick Start
> **All paths are relative to the directory containing this SKILL.md file.**
> Before running any script, first `cd` to that directory or use the full path.
# Get suggestions and feedback
uv run scripts/extract_pr_reviews.py <pr_url>
# Get full first→final comparison for deep analysis
uv run scripts/extract_pr_reviews.py <pr_url> --diff
Sponsors
Details
- Repository
- github.com/evalstate/fast-agent
- Categories
- Git & Pull Requests, Documentation, Code Review & Quality, AI & Agent Building
- License
- Apache-2.0
- First seen
- Jun 11, 2026