Agent skill

Agent Launcher Orchestrator

by alirezarezvani in alirezarezvani/claude-skills

A skill your agent uses when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent"…

MITAuto-check passedEducation

Install Agent Launcher Orchestrator

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills agent-launcher-orchestrator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-launcher/skills/agent-launcher-orchestrator .claude/skills/agent-launcher-orchestrator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-launcher-orchestrator
GitHub stars
28k
Token cost
~1.3k tokens
SKILL.md length
453 words
Files
5 (incl. scripts)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent"…

  • Works in 4 steps: No goal set. If goal.json is missing, run → Goal too vague. Router exit 4 — get one… → Never make API calls. Emit BYOK curl;… → …
  • A user wants to build
  • SKILL.md covers The through-line: the session…, Routing (deterministic), Compile the loop and Pre-flight gates (hard refusals), plus 3 more sections
  • Runs Python scripts from its folder; calls python3; needs ANTHROPIC_API_KEY

What it does

Agent Launcher Orchestrator is an agent skill from alirezarezvani/claude-skills. Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goalrouter.py, and compiles the goal+phase into an execution shape…

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `README.md`, `scripts/goal_router.py` and `scripts/goal_state.py`).

It sits in Education, covering Scheduled and recurring tasks, Skill authoring and Quizzes and assessments. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • A user wants to build
  • Schedule a Claude Managed Agent (CMA) in their own Anthropic account — build me an agent
  • Launch this as a managed agent
  • Run this on a schedule

Example prompts

  • “build me an agent”
  • “launch this as a managed agent”
  • “run this on a schedule”
  • “/agent-launcher-orchestrator”

Requirements

  • Python 3
  • A credential in ANTHROPIC_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. No goal set. If goal.json is missing, run
  2. Goal too vague. Router exit 4 — get one sentence naming the one job before
  3. Never make API calls. Emit BYOK curl; the user runs it with their own
  4. Never print the key. Launch scripts read the key from the environment.

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ANTHROPIC_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Launcher Orchestrator loads about 1.3k tokens when it runs. Until then it costs about 258 tokens; SKILL.md has 453 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~258
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 453 words, ~1,328 tokens.

Download SKILL.mdSave it as .claude/skills/agent-launcher-orchestrator/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
agent-launcher-orchestrator
description
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs).
context
fork
version
2.11.2
author
Alireza Rezvani
license
MIT
tags
claude-managed-agents, cma, agent, launch, orchestrator, session-goal, loop, workflow, cron, outcome, byok
compatible_tools
claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli

agent-launcher — Domain Orchestrator

Every session starts with a goal — one sentence for one CMA. This orchestrator reads that goal, routes to the right phase, and compiles the goal into a loop or a workflow. Heavy intake stays in the forked context; the parent gets a digest.

Inspired by Anthropic's launch-your-agent reference skill (Apache-2.0). This is an independent re-implementation; CMA semantics come from ../../references/cma-primitives.md.

The through-line: the session goal

State lives at ./my-agent/goal.json (the user's folder). Manage it with goal_state.py (init / set / status / advance) — it also backs the /cs:goal command and the opt-in SessionStart hook. The goal's phase selects the lane; the phase + recurrence selects the loop shape.

Routing (deterministic)

Run the router, then act on its exit code:

bash
python3 scripts/goal_router.py --out-dir ./my-agent
# exit 0 ROUTE  -> fork to the named phase sub-skill
# exit 3 ASK    -> ask the one printed forcing question, then re-route
# exit 4 REFUSE -> goal too vague; get one sentence, then re-route
Lane (phase)Sub-skillLoop/workflow
interviewinterviewsingle-pass workflow
stage-launchstage-launchsingle-pass workflow
grade-iterategrade-iteratebounded grade→iterate loop
run-without-yourun-without-yourecurring cron deployment loop
wrap-upwrap-up—

Compile the loop

bash
python3 scripts/loop_compiler.py \
  --out-dir ./my-agent --max-iterations 5 --cron "0 9 * * *" --timezone Europe/Berlin --nest-outcome

loop_compiler.py emits plan.v1: single-pass, grade-iterate (always with a max_iterations cap 1..20), or cron-loop (optionally nesting a self-grading outcome per firing). See ../../references/loops-and-workflows.md.

Pre-flight gates (hard refusals)

  1. No goal set. If goal.json is missing, run goal_state.py init --goal "..." first. The orchestrator does not guess a goal.
  2. Goal too vague. Router exit 4 — get one sentence naming the one job before routing. Never route on under-3-word goals.
  3. Never make API calls. Emit BYOK curl; the user runs it with their own $ANTHROPIC_API_KEY. No script in this plugin touches the network.
  4. Never print the key. Launch scripts read the key from the environment.
Show full SKILL.md (203 more words)Show less

Hand-off contract

After routing, fork to the sub-skill with: the goal string, agent_name, out_dir (./my-agent), and the compiled plan.v1. When the sub-skill returns, goal_state.py advance moves the phase and the parent gets a ≤100-word digest (phase done, artifact paths, loop shape, one next step).

Forcing-question library (walk one at a time; recommend + cite)

  1. "What one job should this agent do end-to-end?" — Recommend: the single most repeated task. Cite: interview-to-config.md (six intake slots). Refuse to route a two-job goal; split into two ./my-agent-*/ folders.
  2. "What kicks it off — you ask it, an event, or a schedule?" — Recommend: on-demand for v0, schedule as the Phase-4 upgrade. Cite: loops-and-workflows.md.
  3. "How would you grade a good run?" — Recommend: 3–5 rubric lines grounded in the output. Cite: cma-primitives.md (outcomes; rubric required).
  4. "Is a real integration ready, or do we mock it in v0?" — Recommend: mock with a schema-true custom tool; wire the MCP server as v1. Cite: interview-to-config.md.
  5. "Should run #10 be smarter than run #1?" — Recommend: attach a memory store only if yes; else skip it. Cite: cma-primitives.md (memory limits + injection risk).

Tools

  • scripts/goal_state.py — own goal.json (init/set/status/advance).
  • scripts/goal_router.py — goal → lane (exit 0 route / 3 ask / 4 refuse).
  • scripts/loop_compiler.py — goal+phase → plan.v1 execution shape.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in agent-launcher/skills/agent-launcher-orchestrator of alirezarezvani/claude-skills.

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

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Agent Launcher Orchestrator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Launcher Orchestrator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Launcher Orchestrator this skillalirezarezvani/claude-skills28k—~1.3kAutomated safety check: PassMIT
Skill JudgeshareAI-lab/lab-skills315—~1.9kAutomated safety check: PassApache-2.0
Idea Groominggrandamenium/cortextos101—~2kAutomated safety check: PassMIT
Validate Skillmdjeremylongshore/tons-of-skills-marketplace2.8k—~6.2kAutomated safety check: PassMIT
Darwin SkillHHU3637kr/skills1451 repos~2.2kAutomated safety check: PassNone
Skill Authoringgrafana/skills282—~1.8kAutomated safety check: PassApache-2.0

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Questions about Agent Launcher Orchestrator

What does Agent Launcher Orchestrator do?

A skill your agent uses when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent"…. Agent Launcher Orchestrator is an agent skill from alirezarezvani/claude-skills. Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker".

When should I use Agent Launcher Orchestrator?

Agent Launcher Orchestrator fits situations like: A user wants to build; schedule a Claude Managed Agent (CMA) in their own Anthropic account — build me an agent; launch this as a managed agent; run this on a schedule.

How do I install Agent Launcher Orchestrator in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator -a claude-code`. Or copy the skill folder (agent-launcher/skills/agent-launcher-orchestrator in alirezarezvani/claude-skills) into .claude/skills/agent-launcher-orchestrator in your project. Claude Code loads it when a task matches its description.

How do I install Agent Launcher Orchestrator in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator -a codex`. Or copy the skill folder (agent-launcher/skills/agent-launcher-orchestrator in alirezarezvani/claude-skills) into .agents/skills/agent-launcher-orchestrator in your project. Codex loads it when a task matches its description.

Can I use Agent Launcher Orchestrator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-launcher-orchestrator, .gemini/skills/agent-launcher-orchestrator, .github/skills/agent-launcher-orchestrator and .opencode/skills/agent-launcher-orchestrator in your project.

What does Agent Launcher Orchestrator need to run?

Going by SKILL.md and its folder, Agent Launcher Orchestrator needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named ANTHROPIC_API_KEY. Our summary lists: Python 3; A credential in ANTHROPIC_API_KEY.

Does Agent Launcher Orchestrator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Launcher Orchestrator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Agent Launcher Orchestrator use?

Agent Launcher Orchestrator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Launcher Orchestrator use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Launcher Orchestrator?

Skills that share tags, products or a category with Agent Launcher Orchestrator: Skill Judge (shareAI-lab/lab-skills, 315 stars), Idea Grooming (grandamenium/cortextos, 101 stars), Validate Skillmd (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Darwin Skill (HHU3637kr/skills, 145 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Launcher Orchestrator?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.