Anthropic launch-your-agent Claude Code Skill Open Source — Build Managed Agents Fast

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What is launch-your-agent? Claude Code Skill Overview

The “launch-your-agent” repository released by Anthropic is an open-source toolchain designed for technical founders using Claude Code. This skill provides an automated pipeline that takes an idea from initial concept to a live Claude Managed Agent (CMA) in production.

📑Table of Contents

1. What is launch-your-agent? Claude Code Skill Overview
2. Quickstart and Required Environment
3. Build Flow (Interview → Scope → Launch → Evaluate → Iterate)
4. CMA Primitives and Limitations (Including Comparison Table)
5. Practical Examples and NEXT-DIRECTIONS
6. Frequently Asked Questions (FAQ)
7. Summary and Next Actions

What to understand first

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Repository role before launch

The official GitHub repository (https://github.com/anthropics/launch-your-agent) defines phases covering user interviews, scope definition, launch, evaluation, and iteration. It serves as a reference implementation under the Apache 2.0 license and is not actively maintained.

As a Claude Code skill, it leverages the user’s own Anthropic API key to build CMAs. Key outputs include a live managed agent in the Console, a my-agent/ folder containing build sheets, API payloads, launch scripts, evaluation scaffolds, and a NEXT-DIRECTIONS.md file.

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Practical check

The main advantage is the significant reduction in manual effort required to build complex agents. Combined with Claude Code’s conversational interface, it enables rapid deployment of practical agents.

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Quickstart and Required Environment

To use launch-your-agent, you need Claude Code installed and a valid Anthropic API key. Clone the repository from GitHub and navigate to the directory.

git clone https://github.com/anthropics/launch-your-agent.git
cd launch-your-agent
claude
/launch-your-agent

After running the command, Claude Code loads the skill and starts an interactive process. Since the user’s own API key is used, costs are borne by the user.

The environment requires a working Claude Code installation and an active Anthropic API key. The repository includes .claude/skills/launch-your-agent/ with four phase definitions, a wrap-up skill, cma-primitives.md, interview-to-config.md, examples-bank.md, and UI components.

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Build Flow (Interview → Scope → Launch → Evaluate → Iterate)

The build flow consists of four main phases. First, conduct a user interview to gather requirements. Next, define the v0 scope and build an initial version of the Claude Managed Agent.

Then launch it in the user’s account and evaluate it against predefined completion criteria. Based on the evaluation, iterate and schedule further runs if needed.

Practical check

Each phase is automated according to the definitions in .claude/skills/launch-your-agent/. Supporting files like interview-to-config.md and examples-bank.md assist the process. UI components allow visual verification.

A key feature of this flow is that it supports not only code generation but also deployment to a real operational environment and a continuous improvement cycle. Technical founders can quickly validate ideas and launch live agents.

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CMA Primitives and Limitations (Including Comparison Table)

Claude Managed Agent (CMA) primitives are the basic building blocks defined in the launch-your-agent repository. The main primitives include four types of loop controls: turn-based, goal-based, time-based, and proactive.

Compare the four loop controls

Primitive	Description	Importance of Stop Condition	Impact on Quality and Cost
Turn-based	Controls processing by fixed turns	Turn limit stops execution	Easy cost prediction; quality depends on turn count
Goal-based	Stops when goal is achieved	Precision of goal definition is key	Prevents over-execution and controls cost
### Compare time and proactive loops

Primitive	Description	Importance of Stop Condition	Impact on Quality and Cost
Time-based	Stops after time limit	Timeout setting is critical	Avoids risks of long-running tasks
Proactive	Event-driven operation	Trigger condition design needed	High flexibility but increased monitoring cost

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Treat the repository as a reference

Limitations include that the repository is a reference implementation only and is not maintained for production use. Refer to the official CMA documentation (https://platform.claude.com/docs/en/managed-agents/overview) for details. Users pay for their own API usage according to Anthropic’s pricing.

Source: Anthropic official GitHub repository (as of July 2026)

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Practical Examples and NEXT-DIRECTIONS

A practical example involves a technical founder building a CMA based on a new service idea and completing the first launch in about one hour. The generated my-agent/ folder contains build sheets and evaluation scaffolds, allowing immediate start of the improvement cycle.

NEXT-DIRECTIONS.md outlines directions for further iteration and additional feature suggestions. Users can use this file to continuously optimize the running agent.

Practical check

The value of this tool lies in its seamless integration as a Claude Code skill. It has also gained attention on X as one of the hottest topics in AI agent practice.

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Frequently Asked Questions (FAQ)

Q: Is launch-your-agent suitable for production use?

The repository is provided as a reference implementation under the Apache 2.0 license. However, since it is not officially maintained, production use is at the user’s own risk. Repeat evaluation and iteration to mitigate operational risks.

Q: How do I manage the required API key?

The user’s own Anthropic API key is used directly. Register the key in Claude Code settings, and it will be used automatically during skill execution. Manage the key according to Anthropic’s security guidelines.

Practical check

Q: How do I estimate the cost of the built agent?

By using CMA loop controls (turn-based, goal-based, etc.), you can limit execution count or duration and make costs more predictable. Check the latest rates on the official pricing page and measure actual usage during the evaluation phase.

Q: What is the difference from other Claude Code skills?

launch-your-agent uniquely automates the end-to-end flow from idea to live CMA. It consistently supports the entire process from interview to NEXT-DIRECTIONS.

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Summary and Next Actions

launch-your-agent is a tool that significantly lowers the barrier to AI agent development for technical founders using Claude Code. We have explained the quickstart through practical operation flow based on independent information from the official repository.

As a next action, clone the GitHub repository and run /launch-your-agent in Claude Code. We recommend iterating based on the evaluation results of the built agent and applying it to your own use cases.

Practical check

Refer to the official documentation and repository information to incorporate it into your projects.