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/issue-analysis

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

From plugin
ha-mcp
4.3k8 skills
Install
$ npx -y skills add homeassistant-ai/ha-mcp --skill issue-analysis --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/issue-analysis

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

issue-analysis.SKILL.md
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-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:

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
Read more
Ships withha-mcp

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Home Assistant. Using natural language, control smart home devices, query states, execute services and manage your automations.

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Python
Language
MIT
License
1h ago
Last commit
10mo ago
Created

Repo: homeassistant-ai/ha-mcp