skills/crewai/SKILL.md
CrewAI multi-agent orchestration framework for building role-based AI agent teams with tasks, tools, memory, flows, and production deployment. MANDATORY TRIGGERS: crewai, CrewAI, crew ai, multi-agent crew, Agent crew, crewai-tools. Also trigger when user wants to build multi-agent systems with role-based agents, orchestrate AI teams with sequential or hierarchical processes, create event-driven agent workflows with Flows, implement agent collaboration and delegation, or deploy production agent systems. When in doubt about whether to use this skill for multi-agent orchestration tasks, use it.
npx skillsauth add abhisheksharma-17/skills-graph crewaiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Multi-agent orchestration framework for building role-based AI agent teams that collaborate on complex tasks.
Source: docs.crewai.com | Package: crewai v1.3.x | License: MIT
| Reference | File | Read When |
|-----------|------|-----------|
| Overview & Setup | references/00-overview.md | Getting started, installation, quickstart, when to use CrewAI |
| Agents | references/01-agents.md | Agent creation, roles, goals, backstory, configuration |
| Tasks | references/02-tasks.md | Task definition, expected_output, guardrails, async tasks |
| Crews | references/03-crews.md | Crew composition, kickoff, output, callbacks, configuration |
| Processes | references/04-processes.md | Sequential, hierarchical, manager agent, planning |
| Tools | references/05-tools.md | Built-in tools, custom tools, BaseTool, @tool decorator |
| Flows | references/06-flows.md | Event-driven orchestration, @start, @listen, @router, state |
| Memory & Knowledge | references/07-memory-knowledge.md | Memory system, knowledge sources, RAG, embeddings |
| LLM Configuration | references/08-llm-configuration.md | Providers, model selection, env vars, parameters |
| Collaboration | references/09-collaboration.md | Delegation, agent communication, allow_delegation |
| Structured Output | references/10-structured-output.md | Pydantic models, JSON output, output validation |
| MCP Integration | references/11-mcp-integration.md | MCP servers, tool routing, external integrations |
| CLI & Deployment | references/12-cli-deployment.md | CLI commands, project scaffolding, production deployment |
# Core package
pip install crewai
# With tools
pip install 'crewai[tools]'
# Using uv
uv add crewai
uv add 'crewai[tools]'
# CLI project scaffolding
crewai create crew my-project
development
AI developer platform for experiment tracking, LLM observability, hyperparameter sweeps, artifact versioning, and model registry. MANDATORY TRIGGERS: wandb, weights and biases, weights & biases, W&B, weave, wandb.init, wandb.log. Also trigger when the user wants to track ML experiments, log training metrics, tune hyperparameters with sweeps, version datasets or models, trace LLM calls, evaluate LLM applications, or monitor AI agents. When in doubt about whether to use this skill for ML experiment tracking or LLM observability tasks, use it.
tools
Data transformation with dbt (data build tool) — SQL-based modeling, testing, documentation, incremental builds, Jinja macros, snapshots, semantic layer, and deployment. MANDATORY TRIGGERS: dbt, data build tool, dbt-core, dbt Cloud, dbt run, dbt build, dbt test. Also trigger when the user wants to build SQL transformation pipelines, define data models with refs, write data quality tests, create incremental models, use Jinja macros in SQL, manage data warehouse transformations, or set up analytics engineering workflows. When in doubt about whether to use this skill for data transformation tasks, use it.
tools
Open-source AI-native vector database for semantic search, hybrid search, RAG, and agent-driven workflows with multi-tenancy and model provider integrations. MANDATORY TRIGGERS: weaviate, Weaviate, weaviate-client, near_text, near_vector, hybrid search vector database, WeaviateClient, weaviate.connect, collections.create, query.near_text, query.hybrid, query.bm25. Also trigger when user wants to build semantic search, store vector embeddings, implement RAG pipelines, combine keyword and vector search, set up multi-tenant vector storage, use named vectors, or integrate vector DB with LLM providers. When in doubt about whether to use this skill for vector database or semantic search tasks, use it.
tools
End-to-end testing and browser automation framework by Microsoft — locators, assertions, fixtures, network mocking, visual testing, tracing, codegen, API testing, and CI/CD integration. MANDATORY TRIGGERS: playwright, Playwright, @playwright/test, page.goto, page.click, page.locator, getByRole, getByText, getByTestId, expect(page), toHaveScreenshot, playwright.config, npx playwright. Also trigger when user wants to write E2E tests, automate browser interactions, test across Chromium/Firefox/WebKit, mock network requests in tests, do visual regression testing, generate tests with codegen, or set up CI test pipelines. When in doubt about whether to use this skill for browser testing or E2E automation tasks, use it.