parse-ai-analysis
Parse GitHub AI analysis comment sections for architectural alignment, technical feasibility, implementation suggestions, and testing strategy
Profile →npx skills add majiayu000/claude-skill-registry --skill parse-ai-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Parse AI Analysis ## Purpose Extract structured data from GitHub AI issue analysis comments generated by github-actions bot for use in architecture planning and implementation. ## When to Use - After fetching issue with `fetch-github-issue-analysis` skill - When AI analysis found in issue comments - During conductor Phase 1 (architecture planning) - When extracting specific sections for delegation ## AI Analysis Format The AI analysis comment contains these sections: ```markdown # AI Issue Analysis ## Architectural Alignment [How this issue aligns with current architecture] ## Technical Feasibility [Assessment of implementation difficulty and approach] ## Implementation Suggestions [Specific implementation recommendations] ## Files/Components Affected [List of files that will need changes] ## Testing Strategy [Recommended testing approach] ## Dependencies [Related issues or features] ## Estimated Complexity [Simple/Medium/Complex assessment] ``` ## Instructions ### Step 1: Validate Input ```bash AI_ANALYSIS=$1 # Full AI analysis comment text if [ -z "$AI_ANALYSIS" ]; then echo "❌ Error: No AI analysis provided" exit 1 fi # Check if contains expected heading if ! echo "$AI_ANALYSI
- Purpose
- When to Use
- AI Analysis Format
- Instructions
- Step 1: Validate Input
- Step 2: Extract Architectural Alignment
- Step 3: Extract Technical Feasibility
- Step 4: Extract Implementation Suggestions
- Step 5: Extract Files/Components Affected
- Step 6: Extract Testing Strategy
- Step 7: Extract Dependencies
- Step 8: Extract Complexity
- Step 9: Return Structured Output
- Output Format
if [ -z "$AI_ANALYSIS" ]; then echo "❌ Error: No AI analysis provided" exit 1 fi Check if contains expected heading if ! echo "$AI_ANALYSIS" | grep -q "AI Issue Analysis"; then echo "⚠️ Warning: Unexpected format - may not be AI analysis" Extract section between "## Architectural Alignment" and next "##" sed -n '/## Architectural Alignment/,/^## /p' | \ sed '$d' | \
What does the parse-ai-analysis skill do?
Parse GitHub AI analysis comment sections for architectural alignment, technical feasibility, implementation suggestions, and testing strategy
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill parse-ai-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.