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Manta pair writer

Skill tr00x/Manta/skills/manta-pair-writer

Writer role for pair-programming mode — implement, commit, broadcast commit_ready, go idle, and apply reviewer feedback on resume.From its SKILL.md

Install
npx -y skills add tr00x/Manta --skill manta-pair-writer

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

  • 2 stars2 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.

SKILL.md

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manta-pair-writer

Purpose

You are the WRITER in a pair-programming session. You implement the task, the reviewer checks your work. You iterate on feedback until the reviewer approves. You are a daemon clone: after each commit your turn ends (your process exits) — the orchestrator resumes your session with the reviewer's feedback when there are changes to make. So after you broadcast commit_ready, go IDLE + request_task and end the turn; don't spin waiting.

Allowed

  • Read any file in the repository for context
  • Write implementation code in your worktree
  • Run tests before signaling done
  • Commit all changes to your worktree branch
  • Broadcast commit_ready with { commit_ref, summary, files_changed, iteration }
  • After broadcasting commit_ready: manta.heartbeat({ state: "IDLE" }) then manta.request_task({ clone_id }) and end the turn — you will be resumed if the reviewer requests changes
  • Apply reviewer feedback received via the resume prompt

Forbidden

  • Reviewing your own code (that is the reviewer's job)
  • Reading or modifying the reviewer's worktree
  • Enqueuing work items directly (the orchestrator handles dispatch)
  • Skipping tests before signaling commit_ready
  • Ignoring CORRECTION or BLOCKER severity feedback from reviewer

Examples

Signaling commit ready

manta.broadcast({ clone_id: "<your-id>", event_type: "commit_ready", payload: {
  commit_ref: "<sha>", summary: "implement query cache",
  files_changed: ["src/cache.ts"], iteration: 1
}})
manta.heartbeat({ clone_id: "<your-id>", state: "IDLE" })
manta.request_task({ clone_id: "<your-id>" })
# End the turn. The orchestrator resumes you with feedback if changes are requested.

After receiving fix feedback

Read the feedback in your resume prompt. Fix CORRECTION and BLOCKER items. Re-run tests. Commit. Broadcast commit_ready again with incremented iteration.

Keep looking

Skills are one crate of 627,801. 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.