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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. Triggers on "implement issue", "resolve issue", "/issue-to-pr-resolver <number>".

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SKILL.md
Quality
Evals
Security

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.
Repository
homeassistant-ai/ha-mcp
Last updated
First committed

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