homeassistant-ai/ha-mcp
Agent skills in the GitHub repository homeassistant-ai/ha-mcp, each with its code score out of 100.
Configure and automate Home Assistant with Claude, ChatGPT, and other AI assistants.
- Repository score
- 62 / 100 C
- Skills
- 8
- Verified
- 0
- Average skill score
- 63
- GitHub stars
- 7,619
- License
- MIT
Open homeassistant-ai/ha-mcp on GitHub
8 skills in this repository
-
my-pr-checker
Manage your own GitHub pull requests — check CI status, inline review comments, PR-level comments, resolve review threads, fix issues, and iterate until all checks pass and thread…
67C -
bat-adhoc
Run bot acceptance tests to validate MCP tools work correctly from a real AI agent's perspective. Use when testing PRs, detecting regressions, or verifying tool changes end-to-end…
66C -
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 co…
66C -
issue-to-pr-resolver
Implement a GitHub issue end-to-end — create a worktree branch, implement the feature with tests, create a draft PR, then iteratively resolve all CI failures and review comments u…
66C -
bat-story-eval
Compare MCP tool behavior between target and baseline versions using pre-built and custom stories with diff-based triage.
64C -
contributors-update
Find merged PR authors missing from README and update the contributors list after approval
63C -
contrib-pr-review
Review a contribution PR for safety, quality, and readiness. Checks for security concerns, test coverage, size appropriateness, and intent alignment. Use when reviewing external c…
58C -
wt
Create a git worktree in worktree/ subdirectory with up-to-date master
50D
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.