Extract and analyze writing improvements from GitHub PR review comments. Use when asked to show review feedback, style changes, or editorial improvements from a GitHub pull request URL. Handles both explicit suggestions and plain text feedback. Produces structured output comparing original phrasing with reviewer suggestions to help refine future writing.
Content & Writing
3.6K Stars
384 Forks
Updated Jan 11, 2026, 10:52 PM
Why Use This
This skill provides specialized capabilities for evalstate's codebase.
Use Cases
Developing new features in the evalstate repository
Refactoring existing code to follow evalstate standards
Understanding and working with evalstate's codebase structure
---
name: pr-writing-review
description: Extract and analyze writing improvements from GitHub PR review comments. Use when asked to show review feedback, style changes, or editorial improvements from a GitHub pull request URL. Handles both explicit suggestions and plain text feedback. Produces structured output comparing original phrasing with reviewer suggestions to help refine future writing.
---
# PR Writing Review
Extract editorial feedback from GitHub PRs to learn from review improvements.
## 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
```bash
# 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
```
## Workflow
### Step 1: Extract with `--diff`
```bash
uv run scripts/extract_pr_reviews.py https://github.com/org/repo/pull/123 --diff
```
This outputs:
1. **Explicit Suggestions** — exact before/after text from `suggestion` blocks
2. **Reviewer Feedback** — plain text comments (the "why" behind changes)
3. **File Evolution** — first draft and final version of each text file
### Step 2: Analyze the Output
With the script output, perform this analysis:
#### A. Catalog the Explicit Suggestions
Create a table of mechanical fixes:
| Pattern | Original | Fixed |
|---------|----------|-------|
| Grammar | "Its easier" | "It's easier" |
| Filler removal | "using this way" | "this way" |
| Capitalization | "Image Generation" | "image generation" |
#### B. Map Feedback to Changes
For each reviewer feedback comment:
1. Find the relevant section in FIRST DRAFT
2. Find the same section in FINAL VERSION
3. Document what changed and why
Example:
> **Feedback:** "would be nice to end more enthusiastically"
> **First draft:** "...it's simple to add new tools to Claude and use them straight away."
> **Final:** "...Let us know what you find and create in the comments below!"
> **Lesson:** End blog posts with a call-to-action
#### C. Paragraph-by-Paragraph Comparison
Compare FIRST DRAFT to FINAL VERSION section by section:
- What was added?
- What was removed?
- What was reworded?
- What structural changes were made?
#### D. Synthesize Style Patterns
Group findings into categories:
| Category | Patterns Found |
|----------|----------------|
| **Clarity** | Passive→active, shorter sentences, remove filler |
| **Precision** | Vague→specific, "Create"→"Generate" |
| **Tone** | Added enthusiasm, call-to-action endings |
| **Structure** | Added transitions, better section flow |
| **Grammar** | its/it's, subject-verb agreement |
| **Content** | Added links, examples, context |
## Script Options
> 📁 **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.
| Flag | Output | Use Case |
|------|--------|----------|
| *(none)* | Suggestions + feedback | Quick review of what reviewers said |
| `--diff` | Above + full file versions | Deep analysis of how author responded |
| `--json` | Raw JSON | Programmatic processing |
## Output Structure
### Default Output
- **Writing Suggestions**: Grouped by reviewer, shows original→suggested text
- **Reviewer Feedback**: Plain comments without code suggestions
### With `--diff`
- **Explicit Suggestions**: Compact before/after pairs
- **Reviewer Feedback**: Numbered list of requests
- **File Evolution**: Full FIRST DRAFT and FINAL VERSION for each .md/.txt/.rst file
## Handling File Renames
The script automatically traces files through renames by:
1. Checking each commit for rename operations
2. Building a path history (e.g., `claudeimages.md` → `claude-images.md` → `claude-and-mcp.md`)
3. Fetching content using the correct path for each commit
## Example Analysis Output
After running the script and performing LLM analysis, produce a summary like:
```markdown
## Style Lessons from PR #123
### Mechanical Fixes
- Fix grammar: "Its" → "It's" (contraction)
- Lowercase generic terms: "Image Generation" → "image generation"
- Remove filler: "the output quality of" → "the quality of"
### Reviewer-Driven Changes
- **"end more enthusiastically"** → Added call-to-action in conclusion
- **"emphasize these are SoTA"** → Changed "latest" to "state-of-the-art"
- **"add blurb about MCP Server"** → Added explanatory paragraph
### Structural Improvements
- Added transition sentence between sections
- Simplified setup instructions (3 sentences → 1)
- Added new bullet point for model flexibility
```
## Limitations
- Only extracts inline PR review comments (not issue comments or PR description)
- File content retrieval requires files to exist in the git tree
- Very long files may need chunked analysis
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