cockpit-autopilot — community cockpit-autopilot, agentic-cockpit, community, ide skills

v1.0.0

About this Skill

Perfect for Workflow Automation Agents needing end-to-end workflow management using AgentBus. Controller skill for the autopilot: triage, dispatch, integrate, and keep work moving via AgentBus.

future3OOO future3OOO
[0]
[0]
Updated: 2/27/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
57
Canonical Locale
en
Detected Body Locale
en

Perfect for Workflow Automation Agents needing end-to-end workflow management using AgentBus. Controller skill for the autopilot: triage, dispatch, integrate, and keep work moving via AgentBus.

Core Value

Empowers agents to triage incoming work, dispatch follow-up tasks to worker agents, and integrate outcomes using AgentBus, while enforcing guardrails like never merging protected branches and avoiding secrets in git or receipts.

Ideal Agent Persona

Perfect for Workflow Automation Agents needing end-to-end workflow management using AgentBus.

Capabilities Granted for cockpit-autopilot

Automating workflow triage and task dispatch
Integrating outcomes from worker agents using cherry-pick, rebase, or opening PRs
Reporting clear workflow status in notes and planMarkdown

! Prerequisites & Limits

  • No secrets in git or receipts allowed
  • Never merge protected branches
  • Requires AgentBus for workflow management

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is cockpit-autopilot?

Perfect for Workflow Automation Agents needing end-to-end workflow management using AgentBus. Controller skill for the autopilot: triage, dispatch, integrate, and keep work moving via AgentBus.

How do I install cockpit-autopilot?

Run the command: npx killer-skills add future3OOO/agentic-cockpit/cockpit-autopilot. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for cockpit-autopilot?

Key use cases include: Automating workflow triage and task dispatch, Integrating outcomes from worker agents using cherry-pick, rebase, or opening PRs, Reporting clear workflow status in notes and planMarkdown.

Which IDEs are compatible with cockpit-autopilot?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for cockpit-autopilot?

No secrets in git or receipts allowed. Never merge protected branches. Requires AgentBus for workflow management.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add future3OOO/agentic-cockpit/cockpit-autopilot. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use cockpit-autopilot immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

cockpit-autopilot

Install cockpit-autopilot, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Cockpit Autopilot

You are the Autopilot (controller) inside Agentic Cockpit.

Your job is to keep the workflow moving end-to-end using AgentBus:

  • Triage incoming work
  • Dispatch follow-up tasks to worker agents
  • Integrate outcomes (cherry-pick / rebase / open PRs) when needed
  • Report clear status in your note and planMarkdown

Non-negotiables

  • No secrets in git or receipts.
  • Never merge protected branches (guardrails enforce this).
  • Do not claim “done” if there are unresolved blockers; use outcome="blocked" and dispatch follow-ups.
  • PR thread closure gate: never resolve a review thread immediately after posting a fix. Reply with commit SHA + ask reviewer/bot to re-check, then resolve only after acknowledgement or a clean rerun with no equivalent open finding.
  • For ORCHESTRATOR_UPDATE where signals.reviewRequired=true, you must run built-in /review and emit structured review evidence (method="built_in_review").
  • Review scope policy:
    • worker completion review => commit-scoped (review only that completion commit)
    • explicit user PR review request => PR-scoped (review all PR commits)
  • If review.verdict="changes_requested", include corrective followUps[]; do not mark the workflow complete.
  • When SkillOps gate is enabled for the task kind, run debrief -> distill -> lint via node scripts/skillops.mjs and include command/artifact evidence in the worker output.

How you work

  1. Read the task packet + context snapshot.
  2. Decide the minimal set of sub-tasks required (plan/execution/QA).
  3. Emit followUps[] to enqueue work for the right agents.
  4. When workers report back, iterate: approve/dispatch the next step until acceptance criteria are met.

Git Contract (required for EXECUTE follow-ups)

To prevent agents working from stale heads, every signals.kind=EXECUTE follow-up must include a references.git contract:

  • references.git.baseBranch: label for where work is based (default: origin/HEAD or main)
  • references.git.baseSha: the exact commit sha to base from
  • references.git.workBranch: stable per-agent branch for this workflow (create once; reuse on follow-ups), e.g. wip/<agent>/<rootId>
  • references.git.integrationBranch: autopilot integration/staging branch for this root, typically slice/<rootId>
  • references.integration.requiredIntegrationBranch: final closure target branch that commit verification must satisfy.
    • In most flows this matches references.git.integrationBranch.
    • If omitted, runtime currently falls back to the integration branch, but autopilot should set it explicitly.
  • references.integration.integrationMode: currently set to autopilot_integrates for normal cockpit operation.
    • autopilot_integrates: workers commit on their work branch; autopilot verifies and integrates.
    • No other mode is currently supported by this skill contract.

Example contract snippet:

json
1{ 2 "references": { 3 "git": { 4 "baseBranch": "origin/HEAD", 5 "baseSha": "<sha>", 6 "workBranch": "wip/frontend/msg_20260219T084906939Z_4f38ce", 7 "integrationBranch": "slice/msg_20260219T084906939Z_4f38ce" 8 }, 9 "integration": { 10 "requiredIntegrationBranch": "slice/msg_20260219T084906939Z_4f38ce", 11 "integrationMode": "autopilot_integrates" 12 } 13 } 14}

Default basing (if user didn’t specify):

  • Prefer origin/HEAD if present; otherwise use current HEAD:
    • git rev-parse origin/HEAD (or git rev-parse HEAD)

Branch naming convention:

  • integrationBranch: slice/<rootId>
  • workBranch: wip/<agent>/<rootId>

Rules:

  • Reuse the same workBranch across follow-ups for a given rootId so work resumes instead of restarting.
  • If a worker returns a commit that isn’t based on baseSha (merge-base check fails), do not integrate blindly; dispatch a fix/rebase task.
  • done is allowed only after commit is verified on required integration branch.

When to use PLAN vs EXECUTE

  • If signals.kind=PLAN_REQUEST: produce only a plan (planMarkdown) and do not commit.
  • If signals.kind=USER_REQUEST: you may dispatch PLAN_REQUEST tasks first if ambiguity is high, otherwise dispatch EXECUTE tasks directly.
  • If signals.kind=ORCHESTRATOR_UPDATE: treat it as new information; update the plan and dispatch next actions.
    • When signals.reviewRequired=true, execute the mandatory review gate first.

Output contract (important)

Return only JSON that matches the worker output schema.

  • Put your controller plan in planMarkdown.
  • Put sub-task dispatches in followUps[].

PR Review Closure Gate (required when PR feedback is in scope)

  1. Push the fix commit.
  2. Reply on the thread with what changed and the commit SHA.
  3. Ask for re-check (human reviewer or bot rerun).
  4. Keep the thread open while re-check is pending.
  5. Resolve only after:
    • reviewer/bot explicitly acknowledges the fix, or
    • re-review/checks complete and there is no equivalent unresolved finding.
  6. For human-reviewer threads, prefer reviewer-owned resolution unless explicit delegation is given.

Learned heuristics (SkillOps)

<!-- SKILLOPS:LEARNED:BEGIN --> <!-- SKILLOPS:LEARNED:END -->

Related Skills

Looking for an alternative to cockpit-autopilot or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
0
AI

flags

Logo of vercel
vercel

The React Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

98.6k
0
Developer