---
title: "Build with AI"
description: "Everything AI coding agents need to build, deploy, and scale with CrewAI — skills, machine-readable docs, deployment, and enterprise features."
icon: robot
mode: "wide"
---

# 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

<CardGroup cols={5}>
  <Card title="Claude Code" icon="message-bot" color="#D97706" />
  <Card title="Cursor" icon="arrow-pointer" color="#3B82F6" />
  <Card title="Codex" icon="terminal" color="#10B981" />
  <Card title="Windsurf" icon="wind" color="#06B6D4" />
  <Card title="Gemini CLI" icon="sparkles" color="#8B5CF6" />
</CardGroup>

<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.
</Note>

---

## 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.

<Tabs>
  <Tab title="Claude Code (Plugin Marketplace)">
    <img src="https://cdn.simpleicons.org/anthropic/D97706" alt="Anthropic" width="28" style={{display: "inline", verticalAlign: "middle", marginRight: "8px"}} />
    CrewAI skills are available in the **Claude Code plugin marketplace** — the same distribution channel used by top AI-native companies:
    ```shell
    /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.py` / `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 |
  </Tab>
  <Tab title="npx (Any Agent)">
    Works with Claude Code, Codex, Cursor, Gemini CLI, or any coding agent:
    ```shell
    npx skills add crewaiinc/skills
    ```
    Pulls from the [skills.sh registry](https://skills.sh/crewaiinc/skills).
  </Tab>
</Tabs>

<Steps>
  <Step title="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.
  </Step>
  <Step title="Your agent gets instant CrewAI expertise">
    The skill pack teaches your agent:
    - **Flows** — stateful apps, steps, and crew kickoffs
    - **Crews & Agents** — YAML-first patterns, 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
  </Step>
  <Step title="Start building">
    Your agent can now scaffold and build CrewAI projects without you re-explaining the framework each session.
  </Step>
</Steps>

<CardGroup cols={2}>
  <Card title="Skills concept" icon="bolt" href="/en/concepts/skills">
    How skills work in CrewAI agents — injection, activation, and patterns.
  </Card>
  <Card title="Skills landing page" icon="wand-magic-sparkles" href="/en/skills">
    Overview of the crewAIInc/skills pack and what it includes.
  </Card>
  <Card title="AGENTS.md & coding tools" icon="terminal" href="/en/guides/coding-tools/agents-md">
    Set up AGENTS.md for Claude Code, Codex, Cursor, and Gemini CLI.
  </Card>
  <Card title="Skills registry (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
    Official listing — skills, install stats, and audits.
  </Card>
</CardGroup>

---

## 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
```

<Tabs>
  <Tab title="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.
  </Tab>
  <Tab title="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.
  </Tab>
  <Tab title="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
  </Tab>
</Tabs>

---

## 3. Deploy to Enterprise

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

<Steps>
  <Step title="Build locally">
    Scaffold and test your crew or flow:
    ```bash
    crewai create crew my_crew
    cd my_crew
    crewai run
    ```
  </Step>
  <Step title="Prepare for deployment">
    Ensure your project structure is ready:
    ```bash
    crewai deploy --prepare
    ```
    See the [preparation guide](/en/enterprise/guides/prepare-for-deployment) for details on project structure and requirements.
  </Step>
  <Step title="Deploy to AMP">
    Push to the CrewAI AMP platform:
    ```bash
    crewai deploy
    ```
    You can also deploy via [GitHub integration](/en/enterprise/guides/deploy-to-amp) or [Crew Studio](/en/enterprise/guides/enable-crew-studio).
  </Step>
  <Step title="Access via API">
    Your deployed crew gets a REST API endpoint. Integrate it into any application:
    ```bash
    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"}}'
    ```
  </Step>
</Steps>

<CardGroup cols={2}>
  <Card title="Deploy to AMP" icon="rocket" href="/en/enterprise/guides/deploy-to-amp">
    Full deployment guide — CLI, GitHub, and Crew Studio methods.
  </Card>
  <Card title="AMP introduction" icon="globe" href="/en/enterprise/introduction">
    Platform overview — what AMP provides for production crews.
  </Card>
</CardGroup>

---

## 4. Enterprise Features

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

<CardGroup cols={2}>
  <Card title="Observability" icon="chart-line">
    Detailed execution traces, logs, and performance metrics for every crew run. Monitor agent decisions, tool calls, and task completion in real time.
  </Card>
  <Card title="Crew Studio" icon="paintbrush">
    No-code/low-code interface to create, customize, and deploy crews visually — then export to code or deploy directly.
  </Card>
  <Card title="Webhook Streaming" icon="webhook">
    Stream real-time events from crew executions to your systems. Integrate with Slack, Zapier, or any webhook consumer.
  </Card>
  <Card title="Team Management" icon="users">
    SSO, RBAC, and organization-level controls. Manage who can create, deploy, and access crews across your team.
  </Card>
  <Card title="Tool Repository" icon="toolbox">
    Publish and share custom tools across your organization. Install community tools from the registry.
  </Card>
  <Card title="Factory (Self-Hosted)" icon="server">
    Run CrewAI AMP on your own infrastructure. Full platform capabilities with data residency and compliance controls.
  </Card>
</CardGroup>

<AccordionGroup>
  <Accordion title="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.
  </Accordion>
  <Accordion title="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
  </Accordion>
</AccordionGroup>

<Card title="Explore CrewAI AMP →" icon="arrow-right" href="https://app.crewai.com">
  Sign up and deploy your first crew to production.
</Card>