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Agent Launcher Orchestrator

Guides building, launching, grading and scheduling a Claude Managed Agent in your own account.

Stars
29,149
Licence
MIT
Files
5 files

What it does

This skill helps an AI agent walk you through creating a Claude Managed Agent (an agent that runs on Anthropic's platform under your own account). It keeps a goal file in your project folder, uses small scripts to decide which stage you are in (interview, launch, grading, scheduled running, wrap-up), and can shape the work as a single pass, a capped grade-and-improve loop, or a recurring scheduled job. It produces curl commands you run yourself with your own API key rather than calling the API itself.

Great for

  • Developers who want to set up a Claude Managed Agent and need a structured launch process
  • Teams that want a rubric-graded agent or a nightly scheduled worker with a clear goal file
  • People already comfortable running terminal commands and managing an Anthropic API key

Skip it if

  • Non-developers who would have to run curl commands and handle API keys without guidance, since mistakes could incur costs or expose credentials
  • Generic agent loops unrelated to Claude Managed Agents; the skill itself points to other skills for those
  • Anyone expecting it to write ordinary Claude Code skills (it is scoped to managed agents only)

Try asking

  • “Build me an agent that triages my inbox every morning and help me set it up”
  • “Grade my agent against a rubric and iterate up to five times until it passes”
  • “Set up a nightly worker that runs on a cron schedule in Europe/Berlin time”
  • “Launch this as a managed agent and give me the curl command to run”
Step-by-step guide: how to use Agent Launcher OrchestratorInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 5 original files, the MIT licence and an attribution note.

    agent-launcher-orchestrator.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip agent-launcher-orchestrator.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip agent-launcher-orchestrator.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Start with a single-sentence goal naming one job; the router refuses vague goals and asks you to split multi-job goals into separate folders
  • Keep the loop iteration cap low (3 to 5) and define a concrete rubric before enabling grade-iterate or scheduled runs to control cost
  • Review every emitted curl command before running it, and keep your API key out of files and chat logs

What's inside

  • README.md
  • scripts/goal_router.py
  • scripts/goal_state.py
  • scripts/loop_compiler.py
  • SKILL.md

Redistributed unmodified from alirezarezvani/claude-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.