| 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 #$ARGUMENTS in the homeassistant-ai/ha-mcp repo.
Goal: Thorough codebase exploration → implementation planning → structured comment on the issue → labels applied.
Step 1: Fetch Issue Details
gh issue view "$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)
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-choice |
| 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:
gh issue edit "$ARGUMENTS" --repo homeassistant-ai/ha-mcp \
--add-label "issue-analyzed,<classification>,<priority>" \
--remove-label "triaged"
gh issue comment "$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
