agentsclimarketplace

Ship it

Skill paultyng/skill-issue/skills/ship-it

Personal Claude Code / Cursor agent skills, rules, and config

Install
npx -y skills add paultyng/skill-issue --skill ship-it

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

End-to-end shipping workflow. Formats, lints, tests, creates a changelog entry, commits with conventional commits, pushes, updates PR description, and suggests reviewers. Use when the user says "ship it", "commit and push", "fmt lint test commit push", or similar shipping commands.

SKILL.md

3.8 KB, as published. Nobody here has run it

Ship It

Run the full pre-commit pipeline, commit, push, and handle PR housekeeping.

1. Verify

Run verification per verify-when-complete. Stop if any step fails.

Review-status check (informational, non-blocking). If a .reviews/<date>/SUMMARY.md exists whose GIT_COMMIT_FULL metadata header matches the current HEAD SHA, count the rows under ## Findings — untracked and inside the <details> block for Findings — tracked, then print a single line:

Review status: <N> untracked / <M> tracked findings @ <short-sha> (<.reviews/path>)

Do not block on N > 0/ship-it runs because the user said so. The line is a sanity check, not a gate. If no matching SUMMARY.md exists, skip the line silently (don't run /review-all from here).

2. Changelog

Check if the project has a changelog convention:

  1. If Taskfile.yaml has a changelog task, run task changelog and follow its output.
  2. Otherwise, look for existing changelog entries:
    • Per-PR fragment directories like .changeset/ (JS/TS via @changesets/cli), .changes/ (Python via towncrier), or similar project-defined conventions
    • CHANGELOG.md at the repo root
  3. If a convention is found, create a terse entry following the existing format and patterns.
  4. If no changelog convention exists, skip this step.

3. Commit

Stage all changes and commit using Conventional Commits format:

<type>[optional scope]: <description>

Common types: feat, fix, refactor, test, docs, chore, ci, build.

Always create a new commit. Never amend.

Apply terse-output commit-message tone: imperative subject ≤72 chars, body explains why (the diff shows what), no "this commit does X" / "I" / "we" / "now". Keep the Co-Authored-By: Claude… attribution.

4. Push and PR

Push the current branch:

git push -u origin HEAD

If a PR exists for the current branch, update its title and description to reflect the current state:

gh pr edit --title "<title>" --body-file /tmp/pr-body.md

For PRs with diffs over ~20 files or ~500 lines, delegate body authoring to a subagent (model: sonnet per subagent-model-routing — PR-body authoring from a non-trivial diff requires real synthesis reasoning) per parallelize-subagents and subagent-prompt-contract: paste the commit list and git diff --stat inline, ask for a summary section + bullet list of notable changes capped at ~200 words, and have the subagent return with the four-state Status line. Main writes /tmp/pr-body.md from the summary. Small PRs stay inline.

If no PR exists, run create-pr to open one.

5. Suggest Reviewers

If a PR exists, query reviewer state and present suggestions:

gh api graphql -f query='
{ repository(owner:"OWNER", name:"REPO") { pullRequest(number:NUM) {
  reviewRequests(first:10) { nodes { requestedReviewer { ... on User { login } ... on Team { slug } } } }
  latestReviews(first:10) { nodes { author { login } state } }
  suggestedReviewers { reviewer { login } isAuthor isCommenter }
} } }'

Logic:

  • If someone already reviewed, suggest re-requesting the same reviewer.
  • If a review is already requested, note who.
  • If no reviewer yet, present GitHub's suggestedReviewers list.
  • For deeper git-history-based suggestions, use /analyze-knowledge. It fans out per-area analysis to subagents for PRs with >20 files, so keep the parent context clean.
  • Do not auto-assign. Present suggestions and let the user decide.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.