docs/en/guides/coding-tools/build-with-ai.mdx
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.
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)">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 |
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
CrewAI's `llms.txt` is **already live** — your agent can use it right now.
```
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.
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>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>