> ## Documentation Index
> Fetch the complete documentation index at: https://docs.crewai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Build with AI

> Everything AI coding agents need to build, deploy, and scale with CrewAI — skills, machine-readable docs, deployment, and enterprise features.

# Build with AI

CrewAI is AI-native. This page brings together everything an AI coding agent needs to build with CrewAI — whether you're Claude Code, Codex, Cursor, Gemini CLI, or any other assistant helping a developer ship crews and flows.

### Supported Coding Agents

> **Claude Code**

> **Cursor**

> **Codex**

> **Windsurf**

> **Gemini CLI**

> [!NOTE]
>
> This page is designed to be consumed by both humans and AI assistants. If you're a coding agent, start with **Skills** to get CrewAI context, then use **llms.txt** for full docs access.

***

## 1. Skills — Teach Your Agent CrewAI

**Skills** are instruction packs that give coding agents deep CrewAI knowledge — how to scaffold Flows, configure Crews, use tools, and follow framework conventions.

**Claude Code (Plugin Marketplace)**

![Anthropic](https://cdn.simpleicons.org/anthropic/D97706)

CrewAI skills are available in the **Claude Code plugin marketplace** — the same distribution channel used by top AI-native companies:

```shell theme={null}
/plugin marketplace add crewAIInc/skills
/plugin install crewai-skills@crewai-plugins
/reload-plugins
```

Four skills activate automatically when you ask relevant CrewAI questions:

| Skill | When it runs |
| - | - |
| `getting-started` | Scaffolding new projects, choosing between `LLM.call()` / `Agent` / `Crew` / `Flow`, wiring `crew.jsonc` / `main.py` |
| `design-agent` | Configuring agents — role, goal, backstory, tools, LLMs, memory, guardrails |
| `design-task` | Writing task descriptions, dependencies, structured output (`output_pydantic`, `output_json`), human review |
| `ask-docs` | Querying the live [CrewAI docs MCP server](https://docs.crewai.com/mcp) for up-to-date API details |

**npx (Any Agent)**

Works with Claude Code, Codex, Cursor, Gemini CLI, or any coding agent:

```shell theme={null}
npx skills add crewaiinc/skills
```

Pulls from the [skills.sh registry](https://skills.sh/crewaiinc/skills).

**1. Install the official skill pack**

Use either method above — the Claude Code plugin marketplace or `npx skills add`. Both install the official [crewAIInc/skills](https://github.com/crewAIInc/skills) pack.

**2. Your agent gets instant CrewAI expertise**

The skill pack teaches your agent:

* **Flows** — stateful apps, steps, and crew kickoffs
* **Crews & Agents** — JSON-first patterns (`crew.jsonc`, `agents/*.jsonc`), roles, tasks, delegation
* **Tools & Integrations** — search, APIs, MCP servers, and common CrewAI tools
* **Project layout** — CLI scaffolds and repo conventions
* **Up-to-date patterns** — tracks current CrewAI docs and best practices

**3. Start building**

Your agent can now scaffold and build CrewAI projects without you re-explaining the framework each session.

> **[Skills concept](https://docs.crewai.com/en/concepts/skills.md)**
>
> How skills work in CrewAI agents — injection, activation, and patterns.

> **[Skills landing page](https://docs.crewai.com/en/skills.md)**
>
> Overview of the crewAIInc/skills pack and what it includes.

> **[AGENTS.md & coding tools](https://docs.crewai.com/en/guides/coding-tools/agents-md.md)**
>
> Set up AGENTS.md for Claude Code, Codex, Cursor, and Gemini CLI.

> **[Skills registry (skills.sh)](https://skills.sh/crewaiinc/skills)**
>
> Official listing — skills, install stats, and audits.

***

## 2. llms.txt — Machine-Readable Docs

CrewAI publishes an `llms.txt` file that gives AI assistants direct access to the full documentation in a machine-readable format.

```
https://docs.crewai.com/llms.txt
```

**What is llms.txt?**

[`llms.txt`](https://llmstxt.org/) is an emerging standard for making documentation consumable by large language models. Instead of scraping HTML, your agent can fetch a single structured text file with all the content it needs.

CrewAI's `llms.txt` is **already live** — your agent can use it right now.

**How to use it**

Point your coding agent at the URL when it needs CrewAI reference docs:

```
Fetch https://docs.crewai.com/llms.txt for CrewAI documentation.
```

Many coding agents (Claude Code, Cursor, etc.) can fetch URLs directly. The file contains structured documentation covering all CrewAI concepts, APIs, and guides.

**Why it matters**

* **No scraping required** — clean, structured content in one request
* **Always up-to-date** — served directly from docs.crewai.com
* **Optimized for LLMs** — formatted for context windows, not browsers
* **Complements skills** — skills teach patterns, llms.txt provides reference

***

## 3. Deploy to Enterprise

Go from a local crew to production on **CrewAI AMP** (Agent Management Platform) in minutes.

**1. Build locally**

Scaffold and test your crew or flow:

```bash theme={null}
crewai create crew my_crew
cd my_crew
crewai run
```

**2. Prepare for deployment**

Ensure your project structure is ready:

```bash theme={null}
crewai deploy --prepare
```

See the [preparation guide](https://docs-platform.crewai.com/platform/en/guides/prepare-for-deployment) for details on project structure and requirements.

**3. Deploy to AMP**

Push to the CrewAI AMP platform:

```bash theme={null}
crewai deploy
```

You can also deploy via [GitHub integration](https://docs-platform.crewai.com/platform/en/guides/deploy-to-amp) or [Crew Studio](https://docs-platform.crewai.com/platform/en/guides/enable-crew-studio).

**4. Access via API**

Your deployed crew gets a REST API endpoint. Integrate it into any application:

```bash theme={null}
curl -X POST https://app.crewai.com/api/v1/crews/<crew-id>/kickoff \
  -H "Authorization: Bearer $CREWAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"inputs": {"topic": "AI agents"}}'
```

> **[Deploy to AMP](https://docs-platform.crewai.com/platform/en/guides/deploy-to-amp)**
>
> Full deployment guide — CLI, GitHub, and Crew Studio methods.

> **[AMP introduction](https://docs-platform.crewai.com/platform/en/introduction)**
>
> Platform overview — what AMP provides for production crews.

***

## 4. Enterprise Features

CrewAI AMP is built for production teams. Here's what you get beyond deployment.

> **Observability**
>
> Detailed execution traces, logs, and performance metrics for every crew run. Monitor agent decisions, tool calls, and task completion in real time.

> **Crew Studio**
>
> No-code/low-code interface to create, customize, and deploy crews visually — then export to code or deploy directly.

> **Webhook Streaming**
>
> Stream real-time events from crew executions to your systems. Integrate with Slack, Zapier, or any webhook consumer.

> **Team Management**
>
> SSO, RBAC, and organization-level controls. Manage who can create, deploy, and access crews across your team.

> **Tool Repository**
>
> Publish and share custom tools across your organization. Install community tools from the registry.

> **Factory (Self-Hosted)**
>
> Run CrewAI AMP on your own infrastructure. Full platform capabilities with data residency and compliance controls.

> **Who is AMP for?**
>
> AMP is for teams that need to move AI agent workflows from prototypes to production — with observability, access controls, and scalable infrastructure. Whether you're a startup or enterprise, AMP handles the operational complexity so you can focus on building agents.

> **What deployment options are available?**
>
> * **Cloud (app.crewai.com)** — managed by CrewAI, fastest path to production
> * **Factory (self-hosted)** — run on your own infrastructure for full data control
> * **Hybrid** — mix cloud and self-hosted based on sensitivity requirements

> **[Explore CrewAI AMP →](https://app.crewai.com)**
>
> Sign up and deploy your first crew to production.


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