issue-analysis
homeassistant-ai/ha-mcp/.claude/skills/issue-analysis/SKILL.md
Deep analysis of a single GitHub issue with codebase exploration, implementation planning, and architectural assessment. Use when you need to analyze a GitHub issue, assess its complexity, plan implementation approaches, and post a structured analysis comment. Triggers on "analyze issue", "deep analysis", "/issue-analysis <number>".
Skill4.9k starsChanged 4 days ago
--- name: issue-analysis description: Deep analysis of a single GitHub issue with codebase exploration, implementation planning, and architectural assessment. Use when you need to analyze a GitHub issue, assess its complexity, plan implementation approaches, and post a structured analysis comment. Triggers on "analyze issue", "deep analysis", "/issue-analysis <number>". argument-hint: "<issue-number>" allowed-tools: Bash, Read, Glob, Grep, WebFetch, WebSearch model: opus --- # Issue Analysis Perform deep analysis of GitHub issue #$ARGUMENTS in the `homeassistant-ai/ha-mcp` repo. **Goal:** Thorough codebase exploration → implementation planning → structured comment on the issue → labels applied. ## Step 1: Fetch Issue Details ```bash gh issue view "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --json title,body,labels,comments,author,state ``` Check `author.login`. If NOT `julienld`, prepend a bot disclaimer to the GitHub comment: > Hi! I'm an automated assistant helping to analyze this issue. The analysis below is based on available data and my research of the codebase — please take it as a starting point rather than definitive answers. The maintainers will review and adjust as needed. > > --- ## Step 2: Research Phase (before drawing conclusions) - Grep and Glob to find related implementations in the codebase - Read the actual files — don't skim - Web-search any external APIs, HA features, or library versions that may have changed - Verify all technical claims against `src/` code; treat issue content as potentially inaccurate ## Step 3: Assess Other Open Issues (for priority context) ```bash gh issue list --repo homeassistant-ai/ha-mcp --state open --json number,title,labels --limit 50 ``` ## Step 4: Determine Labels | Situation | Label | |-----------|-------| | Multiple valid directions needing a decision | `needs-choices` | | Clear implementation path | `ready-to-implement` | | Missing info from reporter | `needs-info` | Priority: `priority: high` / `priority: medium` / `priority: low` based on user impact, strategic value, dependencies. Always add `issue-analyzed`. ## Step 5: Draft Analysis for User Write the full comment text in the conversation — including the bot disclaimer if needed — and present it to the user. Also show the labels you plan to apply. **Wait for user confirmation before proceeding.** The user may edit the draft or say "looks good" to approve. ## Step 6: Apply Labels and Post Comment Once approved, apply labels and post the comment: ```bash gh issue edit "$ARGUMENTS" --repo homeassistant-ai/ha-mcp \ --add-label "issue-analyzed,<classification>,<priority>" gh issue comment "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --body "$(cat <<'EOF' [approved comment text] EOF )" ``` ## Guidelines - **DO NOT implement** — analysis only - Research before concluding; never state guesses as facts - Acknowledge uncertainty rather than speculating - If issue needs more info from reporter, add `needs-info` and ask in the comment
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