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/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 until the PR is clean. Use when you need to fully implement a GitHub issue from start to merge-ready.

From plugin
ha-mcp
4.3k8 skills
Install
$ npx -y skills add homeassistant-ai/ha-mcp --skill issue-to-pr-resolver --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-to-pr-resolver

Context preview

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

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 until the PR is clean. Use when you need to fully implement a GitHub issue from start to merge-ready.

SKILL.md

issue-to-pr-resolver.SKILL.md
name: issue-to-pr-resolver
description: 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 until the PR is clean. Use when you need to fully implement a GitHub issue from start to merge-ready. Triggers on "implement issue", "resolve issue", "/issue-to-pr-resolver <number>".
argument-hint: "<issue-number>"
allowed-tools: Bash, Read, Edit, Write, Glob, Grep, WebFetch, WebSearch

Issue-to-PR Resolver

Implement GitHub issue #$ARGUMENTS in `homeassistant-ai/ha-mcp` end-to-end.

Phase 1: Setup

**Read the issue:**

gh issue view "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --json title,body,labels,comments,author

**Create a worktree from repo root:**

cd "$(git rev-parse --show-toplevel)"
git checkout master && git pull origin master
git worktree add "worktree/issue-$ARGUMENTS" -b "feature/issue-$ARGUMENTS"
git -C "worktree/issue-$ARGUMENTS" submodule update --init --recursive
cd "worktree/issue-$ARGUMENTS"

Phase 2: Implement

  • Analyze codebase structure and patterns before writing code
  • Follow project conventions (see `AGENTS.md` for patterns, naming, error handling)
  • Write tests — all new MCP tools in `src/ha_mcp/tools/` need E2E tests
  • Run tests locally: `cd tests && uv run pytest src/e2e/ -n2 --dist loadscope -v --tb=short`
  • Make atomic, well-described commits using conventional commit prefixes

**Philosophy:** Work autonomously. Don't ask about every small decision. Fix unrelated test failures encountered. Document all choices for the final summary.

If a non-obvious choice has significant consequences, create two mutually exclusive PRs (one per approach) and let the user choose.

Phase 3: Create PR

git push -u origin "feature/issue-$ARGUMENTS"
PR_NUMBER=$(gh pr create --draft \
  --repo homeassistant-ai/ha-mcp \
  --title "<descriptive title>" \
  --body "Closes #$ARGUMENTS

## What does this PR do?
[description]
" | grep -oE '[0-9]+$')

Wait for CI:

gh pr checks "$PR_NUMBER" --repo homeassistant-ai/ha-mcp --watch

Before marking ready (`gh pr ready`), update the PR description to reflect all changes made.

Phase 4: Resolution Loop

Repeat until all checks green and no unresolved threads:

**Check for issues:**

gh pr checks "$PR_NUMBER" --repo homeassistant-ai/ha-mcp
gh api repos/homeassistant-ai/ha-mcp/pulls/"$PR_NUMBER"/comments \
  --jq '.[] | {id, path, line, author: .user.login, body}'
gh api graphql -F pr="$PR_NUMBER" -f query='query($pr: Int!) { repository(owner:"homeassistant-ai", name:"ha-mcp") { pullRequest(number:$pr) { reviewThreads(first:100) { nodes { id isResolved comments(first:1) { nodes { databaseId body } } } } } } }'

**Resolve each comment (both steps required):**

# 1. Reply on the inline thread
gh api repos/homeassistant-ai/ha-mcp/pulls/"$PR_NUMBER"/comments/<COMMENT_ID>/replies \
  -f body="✅ Fixed in [commit]. [explanation]"
# or: -f body="📝 Not addressing because [reason]."

# 2. Resolve the thread via GraphQL
gh api graphql -f query='mutation($threadId: ID!) { resolveReviewThread(input: {threadId: $threadId}) { thread { id isResolved } } }' \
  -f threadId="<PRRT_...>"

**After pushing fixes**, wait and re-check:

gh pr checks "$PR_NUMBER" --repo homeassistant-ai/ha-mcp --watch

Phase 5: Final Report

Once all checks pass and all threads resolved:

gh pr comment "$PR_NUMBER" --repo homeassistant-ai/ha-mcp --body "## Implementation Summary

**Choices Made:**
- [key technical decisions with rationale]

**Problems Encountered:**
- [issues faced and how resolved]
- [unrelated test failures fixed, if any]
"

Report to user: PR number, status, key choices.

Rules

  • **Never commit to master** — always work in the worktree
  • **Always create PRs as draft** — never mark ready without user request
  • Maximum 5 resolution iterations before reporting blockers
  • **Discovered improvements**: fix-in-place by default. See AGENTS.md § *Boy Scout Rule — Handling Discovered Improvements* for the full rubric. Never open a follow-up PR or issue without explicit user approval; never populate `## Future improvements` without the user explicitly confirming the work is out of scope.
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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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Repo: homeassistant-ai/ha-mcp