Learn From PR Feedback
Analyze feedback from recent PRs (CodeRabbit, SonarQube, developer comments) and suggest updates to project configuration to catch these issues before PR review.
Arguments
ARGUMENTS: $ARGUMENTS
--count <n>: Number of PRs to analyze (default: 5)--state <state>: PR state to fetch - merged, closed, or all (default: merged)
Procedure
Step 1: Verify Prerequisites
Check that gh CLI is authenticated:
gh auth status
If not authenticated, stop and inform user to run gh auth login.
Step 2: Fetch Recent PRs
gh pr list --state <state> --limit <count> --json number,title,url,mergedAt,closedAt
If no PRs found, report "No PRs found matching criteria" and stop.
Report:
Found X PRs to analyze:
1. #123: PR title
2. #124: PR title
...
Step 3: Collect All Feedback
For each PR, fetch ALL comments and reviews:
PR review comments (inline code comments):
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments --paginate
PR reviews (approval/request changes with body):
gh api repos/{owner}/{repo}/pulls/{pr_number}/reviews --paginate
Issue-style comments (general discussion):
gh api repos/{owner}/{repo}/issues/{pr_number}/comments --paginate
Extract from each comment:
body: The actual feedback textuser.login: Who wrote it (helps identify bots like CodeRabbit, SonarQube)pathandline: Where in code (if applicable)created_at: When
Categorize by source:
- Automated tools: Identify by user.login or body markers (CodeRabbit, SonarQube, Codacy, DeepSource, etc.)
- Human reviewers: Everything else
Report:
Collected feedback from PR #X:
- [Tool name]: Y comments
- Human reviewers: Z comments
Step 4: Analyze Patterns
Group all collected feedback and identify patterns:
Look for recurring themes such as:
- Code style and formatting issues
- Logic errors and edge cases
- Security concerns
- Performance issues
- Testing gaps
- Architecture and design feedback
- Documentation issues
- Language-specific best practices
For each pattern found:
- Count occurrences across all PRs
- Note specific examples (file, line, comment text)
- Identify the source (which tool/reviewer caught it)
Prioritize by:
- Frequency (appears in multiple PRs)
- Source consistency (caught by multiple reviewers/tools)
- Severity (security > bugs > style)
Report top patterns:
## Feedback Patterns Found
### High Frequency (appeared in 3+ PRs)
1. [Pattern]: [X occurrences] - caught by [sources]
Example: "[actual comment snippet]"
### Medium Frequency (appeared in 2 PRs)
...
### Single Occurrence (but notable)
...
Step 5: Discover Current Config
Search the project for ANY configuration files that might be relevant:
find . -maxdepth 3 -type f \( \
-name "CLAUDE.md" -o \
-name ".claude" -o \
-name ".*rc" -o \
-name ".*rc.json" -o \
-name ".*rc.yaml" -o \
-name ".*rc.yml" -o \
-name "*.config.js" -o \
-name "*.config.ts" -o \
-name "*.config.json" -o \
-name ".pre-commit-config.yaml" -o \
-name ".editorconfig" -o \
-name "Makefile" -o \
-name "pyproject.toml" -o \
-name "setup.cfg" -o \
-name "tox.ini" -o \
-name ".rubocop.yml" -o \
-name "Gemfile" -o \
-name "go.mod" -o \
-name "Cargo.toml" -o \
-name "composer.json" \
\) 2>/dev/null | head -50
Also check for .claude/ directory contents.
For each relevant config, note:
- What it currently enforces
- What gaps exist relative to PR feedback patterns
Report:
## Current Configuration
Found these config files:
- [file]: [brief summary of what it controls]
...
Step 6: Generate Recommendations
For each high-frequency pattern, propose specific config updates:
Format for each recommendation:
### [Pattern Name]
**Problem:** [What the PR feedback consistently caught]
**Frequency:** [X occurrences across Y PRs]
**Caught by:** [Tool names, specific reviewers]
**Examples from PRs:**
- PR #123: "[comment snippet]"
- PR #456: "[comment snippet]"
**Suggested fixes:**
**Option A: CLAUDE.md** (catches during Claude Code sessions)
```markdown
[Exact text to add to CLAUDE.md]
Option B: [Relevant tool/config for this project]
[Exact config to add, appropriate to the project's language/tooling]
Option C: Pre-commit hook (catches before commit)
[Hook configuration if applicable]
Recommended: [Which option and why]
### Step 7: Present Summary
```markdown
# PR Feedback Analysis Complete
## PRs Analyzed
- Count: X
- Date range: [oldest] to [newest]
- Feedback sources: [list tools and reviewer count]
## Key Findings
### Patterns That Should Be Caught Locally
| Pattern | Frequency | Top Source | Recommended Fix |
|---------|-----------|------------|-----------------|
| [name] | X times | [source] | [config type] |
## Detailed Recommendations
[Full recommendations from Step 6]
## Quick Wins (Copy-Paste Ready)
### Add to CLAUDE.md:
```markdown
[All CLAUDE.md additions consolidated]
Add to [other relevant config]:
[Additions consolidated by config file]
Analysis based on PRs: #X, #Y, #Z...
Run /learn-from-prs again after implementing changes to verify improvement
## Notes
- This command only suggests changes, never modifies files
- Focus recommendations on issues that appeared multiple times
- For single-occurrence issues, mention them but deprioritize
- Recommend fixes appropriate to the project's actual language and tooling
- When a pattern could be caught by multiple tools, recommend the earliest in the pipeline
- If feedback is vague or unclear, note it but don't force a recommendation