finalizing-pr

Prepares the current branch for merge by running quality checks, simplifying code, and creating a PR if one doesn't exist.

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Install skill "finalizing-pr" with this command: npx skills add streamlit/streamlit/streamlit-streamlit-finalizing-pr

Finalizing PR

Prepares the current branch for merge by running quality checks, simplifying code, and creating a PR if one doesn't exist.

Workflow

Follow these steps in order. Run all subagents in foreground (not background) unless otherwise specified—wait for each to complete before proceeding.

Note: For small changes (documentation tweaks, test-only tweaks, one-liners, or other mini-changes), you can skip steps 1, 2, 3, 6, 7, and 8.

  1. Build and install

Run make all in a subagent to ensure the build and installation are up-to-date. Wait for completion before proceeding.

make all

  1. Update internal docs

Run the /updating-internal-docs skill in a background subagent to auto-fix internal documentation issues. Instruct it to apply all recommended fixes to internal docs issues related to the local changes.

  1. Simplify changes

Run the simplifying-local-changes subagent to clean up and simplify the code changes. Wait for completion before proceeding.

  1. Run autofix

Run autofix in a subagent to fix formatting and linting issues. Wait for completion before proceeding.

make autofix

  1. Run checks (first pass)

Run the /checking-changes skill in a subagent (uses make check ) to validate the changes. Wait for completion, then fix any issues found before proceeding. Don't run other checks besides make check in this step.

  1. Review changes

Run the reviewing-local-changes subagent to review the changes. Wait for completion and read the review output.

  1. Address review feedback

Review the recommendations from step 6. For each recommendation:

  • If valid and improves code quality: implement the change

  • If not applicable or would over-engineer: skip with brief reasoning

  1. Run checks (second pass)

Run the /checking-changes skill in a subagent with E2E_CHECK=true make check to also run changed e2e tests. Wait for completion, then fix any issues found before proceeding. Snapshot mismatches can be ignored (they require manual updates).

  1. Create or update PR

Note: If currently on develop , create a new branch first following the naming conventions in wiki/pull-requests.md .

Check if a PR exists for the current branch:

gh pr view --json number,title,url

If no PR exists, create one following the guidelines in wiki/pull-requests.md (please read!). Add appropriate labels and fill in the body based on .github/pull_request_template.md (skip the video/screenshot section).

Link related issues: Add - Closes #12345 to the PR description for any known GitHub issues this PR resolves.

Required labels:

Category Options

Impact impact:users (affects user behavior) OR impact:internal (no user behavior change)

Change type change:feature , change:bugfix , change:chore , change:refactor , change:docs , change:spec , change:other

Note: PRs labeled change:spec (for spec/design documents only) are exempt from Impact label requirements.

Push branch to origin first (required for gh pr create in non-interactive mode)

git push -u origin HEAD

Create the PR

gh pr create --base develop --title "[type] Description" --body "$(cat <<'EOF'

Describe your changes

  • Change 1
  • Change 2

GitHub Issue Link (if applicable)

  • Closes #12345

Testing Plan

  • Unit Tests (JS and/or Python) EOF )" --label "impact:users,change:feature"

If PR exists, check if description needs updating based on current changes.

  1. Fix CI issues and address PR review comments

Run the fixing-pr subagent to automatically wait for CI, fix any failures, address PR review comments, validate changes, and push. Wait for completion before proceeding.

  1. Post agent metrics

Post the agent metrics to the PR body:

uv run python scripts/log_agent_metrics.py --post

  1. Trigger final AI review

Apply the ai-review label to trigger the final AI code review:

gh pr edit --add-label "ai-review"

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

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