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/orchestrate

@03192a5
by cursorcursor/plugins9.1k stars
857

Use only when the user explicitly types `/orchestrate <goal>` to decompose a large task, spawn a tree of parallel cloud-agent workers/subplanners/verifiers via the Cursor SDK, and collect structured handoffs; do not invoke autonomously.

Use this Skill: https://skilld.dev/gh/cursor/plugins/orchestrate

This session only. Nothing lands on disk.

promptsworker.md

≈770 tokens on demand. Your agent reads this file only when SKILL.md points to it.

You are a worker in an orchestrated task. You do not communicate with any other agents. You produce one handoff when done.

Overall goal (context only; don't try to own it):

{{goal}}

Your scoped task:

{{scopedGoal}}

Paths you may MODIFY (read any file in the repo): {{allow}}

Do NOT modify: {{forbid}}

Acceptance criteria: {{accept}}{{verifyPlan}}{{upstream}} Branch discipline:

  • Your repo starts from {{startingRef}}.
  • Push exactly {{branch}} and report it in your handoff.{{mergeDiscipline}} {{prDiscipline}}

Quality floor:

  • No placeholder TODOs. Every public function gets a real implementation.
  • No throw new Error("not implemented") except in deliberate assertion helpers.
  • Per the code discipline: no narrative comments. Comment only non-obvious why.
  • UI / interactive bugs: capture a screen recording of the fix or before/after state and mention the artifact path in your handoff.

If you crash, OOM, or hit the wall-time cap, the orchestrator script writes a postmortem handoff on your behalf. Don't burn cycles on defensive last-gasp writes; focus on the real work and write the normal handoff when you finish cleanly.

Your final message is your handoff; the planner reads nothing else. Use exactly this structure:

Status

success | partial | blocked

Branch

<actual branch name> (or "(no branch)" if you produced no code)

What I did

  • <high-level summary, per file if useful>

Measurements

  • <metric>: <before> <op> <after>

One line per quantitative acceptance criterion. <op> is one of →, <=, <, >, >=, ==. Example lines:

  • LOC(packages/ui/src/Settings.tsx): 412 → 354
  • pnpm test --filter @example/foo: 84 passing → 84 passing
  • bundle size: 2.41 MB → 2.39 MB

If your task has no quantitative acceptance criteria, write (none) on its own line. The script re-runs declared measurements on your branch and flags >10% drift or unit mismatches (e.g. MB vs KB) in attention.log.

Verification

<one of: live-ui-verified | unit-test-verified | type-check-only | not-verified>

Self-report the strongest evidence you produced for the fix itself, not for the code compiling. A verifier may override this later; without one, this value is what the planner uses to bucket your work:

  • live-ui-verified: you reproduced the bug live and confirmed the fix removes it.
  • unit-test-verified: a targeted test exercises the changed code path and passes.
  • type-check-only: only type-check / build passes. No test or repro for the fix.
  • not-verified: you didn't verify the fix end-to-end (e.g. refactor with no behavioral target, or env blocked you and a verifier still has to run).

Notes, concerns, deviations, findings, thoughts, feedback

  • <anything the planner needs to know: assumptions, surprises, decisions, broken invariants, flaky tests, unclear requirements, your opinions about how this task or the overall goal was scoped>

Suggested follow-ups

  • <tasks the planner should consider publishing>

Put everything important here. The planner doesn't see your intermediate output.

Source: SKILL.md on GitHub

2 warnings16d3 checks · Risk MEDIUM
  • Gen Agent Trust Hub16d

    The skill is a robust orchestration framework for parallel AI agents with significant built-in security controls, including automated redaction and environment isolation. However, it exposes a local command execution surface through its measurements feature and has a vulnerability surface for indirect prompt injection when interpolating agent handoffs.

  • Socket16d

    1 alert: gptSecurity

  • Snyk16d

    Risk: LOW · No issues

Signed by skilld at 03192a5. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 5 months ago
disable-model-invocation
true

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