Claw Orchestrator logo

Claw Orchestrator

Organization
skillmds
claw-orchestrator

Manage persistent coding sessions across Claude Code, Codex, Antigravity (agy), Cursor, and OpenCode engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, autoloop autonomous workspace iteration, ultraapp building deployable web apps from a structured Q&A interview, switching models/tools at runtime, exposing the orchestrator's 69 tools as an MCP server to Hermes Agent / Claude Desktop / Cursor / Cline / Continue / Zed / Windsurf / Goose, or running as an Agent Client Protocol (ACP) agent that Zed / JetBrains / Neovim / Emacs / VS Code / dsh can drive directly. Triggers on "start a session", "send to session", "run council", "ultraplan", "ultrareview", "autoloop", "ultraapp", "Forge tab", "build a web app", "one-click app", "AppSpec", "autonomous iteration", "iterate until goal", "deep paper review", "auto research", "switch model", "multi-agent", "coding session", "session inbox", "cursor agent", "opencode", "mcp server", "clawo-mcp", "hermes mcp", "model context protocol", "ultracode", "dynamic workflow", "fanout", "fan-out", "best-of-N", "steer turn", "interrupt turn", "fork thread", "rollback turns", "acp", "agent client protocol", "clawo acp", "zed agent", "jetbrains agent", "external agent", "dsh subagent", "deepseek harness".

Overview

Publisherskillmds
Repositoryskillmd
Skill nameclaw-orchestrator
Stars
249
Forks
3
Bundled files
18
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by skillmds on GitHub. Read the source before you install it.

Installation

Install the Claw Orchestrator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/skillmds/skillmd/tree/main/plugins/agents-mcp/skills/claw-orchestrator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/skillmds/skillmd.git /tmp/skillmd
mkdir -p .claude/skills
cp -r /tmp/skillmd/plugins/agents-mcp/skills/claw-orchestrator .claude/skills/claw-orchestrator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claw Orchestrator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Claw Orchestrator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Claw Orchestrator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Claw Orchestrator Skill

Claw Orchestrator — persistent multi-engine coding session manager for claw-style agent systems. Runs as a standalone CLI/server, with first-class OpenClaw plugin support. Wraps Claude Code, Codex, Antigravity, Cursor Agent, OpenCode, and custom CLIs into headless agentic engines with 69 tools.

Engine Quick Reference

EngineCLISession TypeBest For
claudeclaudePersistent subprocessMulti-turn, complex tasks
codexcodex execPer-message spawnOne-shot execution
agyagy -pPer-message spawnGoogle Antigravity; plain-text, auto conversation resume
cursoragent -pPer-message spawnOne-shot execution
opencodeopencode runPer-message spawnProvider-agnostic (provider/model)

Core Workflow

javascript
// 1. Start session (any engine)
session_start({ name: "myproject", cwd: "/path/to/project", engine: "claude" })
session_start({ name: "codex-task", cwd: "/path/to/project", engine: "codex" })
session_start({ name: "agy-task", cwd: "/path/to/project", engine: "agy" })
session_start({ name: "cursor-task", cwd: "/path/to/project", engine: "cursor" })
session_start({ name: "opencode-task", cwd: "/path/to/project", engine: "opencode", model: "anthropic/claude-sonnet-4" })

// 2. Send messages
session_send({ name: "myproject", message: "Fix the auth bug" })

// 3. Check status / search history
coding_session_status({ name: "myproject" })
session_grep({ name: "myproject", pattern: "error" })

// 4. Stop when done
session_stop({ name: "myproject" })

Session Options

ParameterDescription
engineclaude (default), codex, agy, cursor, opencode
modelModel name or alias (fable, opus, sonnet, haiku, gpt-5.5, agy-pro, composer-2)
permissionModeacceptEdits, auto, plan, bypassPermissions, manual, dontAsk (default = legacy alias for manual)
effortlow, medium, high, xhigh, max, auto (xhigh is Opus 4.7-only, between high and max)
maxBudgetUsdCost limit in USD
allowedToolsList of allowed tool names

CLI 2.1.111 options

ParameterDescription
bareMinimal mode — no CLAUDE.md, hooks, LSP, auto-memory. Auto-enables prompt cache optimizations (see below).
includeHookEventsStream hook lifecycle events (PreToolUse/PostToolUse).
forwardSubagentTextForward subagent text and thinking into the output stream, so sessions that fan out surface intermediate output instead of going quiet.
permissionPromptToolDelegate permission prompts to an MCP tool for non-interactive use.
excludeDynamicSystemPromptSectionsMove cwd/env/git from system prompt to user message for better prompt cache hits. Auto-enabled with bare: true.
enablePromptCaching1HEnable 1-hour prompt cache TTL (vs default 5-min). Auto-enabled with bare: true.
debug / debugFileTargeted debug output by category (e.g. "api,mcp") and optional file path.
fromPrResume a session linked to a GitHub PR number or URL.
channels / dangerouslyLoadDevelopmentChannelsMCP channel subscriptions (research preview).

CLI 2.1.121 options

ParameterDescription
forkSubagentFork subagent for non-interactive sessions (sets CLAUDE_CODE_FORK_SUBAGENT=1).
enableToolSearchEnable Vertex AI tool search (sets ENABLE_TOOL_SEARCH=1).
otelLogUserPromptsOpenTelemetry: include user prompts in logs (sets OTEL_LOG_USER_PROMPTS=1).
otelLogRawApiBodiesOpenTelemetry: include raw API bodies in logs (sets OTEL_LOG_RAW_API_BODIES=1). Debug only.

stats.pluginErrors is now populated from the system/init event when CLI plugins fail to load due to unmet dependencies.

TRACEPARENT / TRACESTATE (W3C distributed tracing) are automatically forwarded from parent process env — set them before starting the session and they propagate to the child Claude CLI.

Smart defaults: When bare: true, the plugin auto-enables --exclude-dynamic-system-prompt-sections and ENABLE_PROMPT_CACHING_1H=1 unless explicitly set to false.

Multi-Agent Council

Parallel agent collaboration with git worktree isolation and consensus voting. Agents can use different engines.

javascript
// Start a council
council_start({
  task: 'Build a REST API',
  agents: [
    { name: 'Architect', emoji: '🏗️', persona: 'System design', engine: 'claude' },
    { name: 'Engineer', emoji: '⚙️', persona: 'Implementation', engine: 'codex' },
  ],
  maxRounds: 5,
  projectDir: '/path/to/project',
});

Council lifecycle: council_start → poll council_status → council_review → council_accept or council_reject.

For details: see references/council.md

Cross-Session Messaging

Sessions can communicate. Idle sessions receive immediately; busy sessions queue.

javascript
session_send_to({ from: "sender", to: "receiver", message: "Auth module needs rate limiting" })
session_send_to({ from: "monitor", to: "*", message: "Build failed!" })  // broadcast
session_inbox({ name: "receiver" })
session_deliver_inbox({ name: "receiver" })

Team Tools (All Engines)

All engines use the same virtual-team layer: cross-session inbox routing across active SessionManager sessions. (Claude Code's native experimental Agent Teams is in-process TUI only and not reachable from a subprocess wrapper.)

javascript
team_list({ name: "myproject" })
team_send({ name: "myproject", teammate: "teammate", message: "Review this" })

Ultraplan & Ultrareview

  • Ultraplan: Opus deep planning session (up to 30 min), produces detailed implementation plan
  • Ultrareview: Fleet of 5-20 bug-hunting agents reviewing in parallel (security, logic, perf, types, etc.)

Both are async — start then poll status.

Autoloop (autonomous workspace iteration)

Autoloop uses three persistent roles. You chat with the Planner to define plan.md and goal.json; after explicit approval it starts a Coder/Reviewer iteration loop. Each role may use a different engine.

javascript
autoloop_start({
  run_id: 'fix-parser',
  workspace: '/path/to/repo',
  planner_engine: 'claude',
  coder_engine: 'codex',
  reviewer_engine: 'agy',
});
autoloop_chat({ run_id: 'fix-parser', text: 'Read the repo and design a plan to fix the parser.' });
autoloop_chat({ run_id: 'fix-parser', text: 'Plan approved; start the loop.' });
autoloop_status({ run_id: 'fix-parser' });
autoloop_stop({ run_id: 'fix-parser', reason: 'done' });

Claude roles default to Planner opus and Coder/Reviewer sonnet. A non-Claude role with no model uses that engine's own default. Custom engine configs are supplied only at start (or HTTP resume), never by Planner output. The Reviewer runs in a restaged sandbox and returns advance/hold/rollback verdicts; push policy and SSE keep long runs observable.

For the full control protocol, registry/resume behavior, and ledger layout, see references/autoloop.md.

Tools Overview

CategoryTools
Session Lifecyclesession_start, session_send, session_stop, session_list, sessions_overview
Session Opscoding_session_status, session_grep, session_compact, session_update_tools, session_switch_model
Inboxsession_send_to, session_inbox, session_deliver_inbox
Teamscoding_agents_list, team_list, team_send
Codexcodex_resume, codex_review, codex_goal_*, codex_interrupt, codex_steer, codex_fork, codex_rollback, codex_models, codex_threads
Claude CLIclaude_goal_*, claude_agents_list, plugin_details
Fan-outfanout_start, fanout_status, fanout_abort
Councilcouncil_start, council_status, council_abort, council_inject, council_review, council_accept, council_reject
Ultraultraplan_start, ultraplan_status, ultrareview_start, ultrareview_status

ultracode (Claude dynamic workflows) is a session_start option, not a separate tool: set ultracode: true to have Claude orchestrate a JS workflow and fan out to subagents per task.

For full parameter reference: see references/tools.md

Run as an ACP agent

clawo acp (or the clawo-acp binary) serves Agent Client Protocol over stdio, so any ACP client — Zed, JetBrains, Neovim, Emacs, the VS Code ACP extension, or dsh through its subagent-acp provider — drives the orchestrator as its coding agent. The model selector is grouped by engine, so one dropdown spans Claude, Codex and Cursor and switching it switches engine mid-session.

For setup, the dsh YAML block, and the cancellation/permission limits: see references/acp.md

Authentication Prerequisites

Each engine requires its own auth before use:

  • Claude: claude /login or ANTHROPIC_API_KEY
  • Codex: codex login or OPENAI_API_KEY
  • Antigravity: run agy once and complete the Google OAuth login
  • Cursor: agent login or CURSOR_API_KEY
  • OpenCode: opencode auth login (provider-agnostic; use provider/model form for model)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Claw Orchestrator AI skill do?

Manage persistent coding sessions across Claude Code, Codex, Antigravity (agy), Cursor, and OpenCode engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, autoloop autonomous workspace iteration, ultraapp building deployable web apps from a structured Q&A interview, switching models/tools at runtime, exposing the orchestrator's 69 tools as an MCP server to Hermes Agent / Claude Desktop / Cursor / Cline / Continue / Zed / Wi...

Why use Claw Orchestrator on TypingMind?

Because you install it once and use it with any model. Claw Orchestrator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Claw Orchestrator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/skillmds/skillmd/tree/main/plugins/agents-mcp/skills/claw-orchestrator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Claw Orchestrator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Claw Orchestrator?

As many as you like. As long as a model supports skills, you can use Claw Orchestrator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Claw Orchestrator AI skill free?

Yes. It is published on GitHub by skillmds under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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