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@colygon colygon commented Jan 11, 2026

Summary

This PR adds comprehensive CrewAI support to the agents repository:

  • New crewai-agent command - A complete guide for building production-grade multi-agent systems using CrewAI Crews and Flows. Includes:

    • Agent, Task, and Crew definition patterns
    • Flow orchestration with state management
    • Event-driven workflows and conditional routing
    • Memory systems integration (short-term, long-term, entity)
    • RAG pipeline integration
    • Production deployment patterns with FastAPI
    • Testing and evaluation strategies
    • Implementation checklist and best practices
  • New crewai-architecture skill - Comprehensive skill documentation covering:

    • Core concepts (Agents, Tasks, Crews, Flows)
    • Architecture patterns (Sequential, Hierarchical, Flow-based)
    • State management (structured vs unstructured, persistence)
    • Memory configuration options
    • Tool integration patterns
    • Testing strategies and common pitfalls
  • Updated ai-engineer agent - Updated the Agent Frameworks section to reflect that CrewAI also handles complex workflow orchestration via Flows with built-in state management (previously only mentioned multi-agent collaboration)

Changes

File Change
plugins/llm-application-dev/commands/crewai-agent.md New file
plugins/llm-application-dev/skills/crewai-architecture/SKILL.md New file
plugins/llm-application-dev/agents/ai-engineer.md Updated CrewAI description

Test plan

  • Verify crewai-agent.md follows the command file format pattern
  • Verify crewai-architecture/SKILL.md follows the skill file format pattern
  • Confirm code examples are syntactically correct
  • Review ai-engineer.md update for accuracy

🤖 Generated with Claude Code

Colin Lowenberg and others added 3 commits January 11, 2026 09:24
- Add crewai-agent.md command for CrewAI Crews and Flows development
  with production patterns, state management, and deployment guidance
- Add crewai-architecture skill covering core concepts (Agents, Tasks,
  Crews, Flows), architecture patterns, and best practices
- Update ai-engineer.md to reflect CrewAI Flows capabilities for
  complex workflow orchestration and state management

Co-Authored-By: Claude Opus 4.5 <[email protected]>
- Add reference documentation:
  - agents.md: Complete agent configuration reference
  - crews.md: Crew types and configuration patterns
  - flows.md: Flow decorators and state management
  - memory.md: Memory systems (short/long-term/entity)

- Add production-ready templates:
  - crew-template.py: Crew with error handling and monitoring
  - flow-template.py: Flow with state management and routing

- Add BRANCH_REVIEW.md: Comprehensive branch review document

These files complete the documentation referenced in SKILL.md.

Co-Authored-By: Claude Opus 4.5 <[email protected]>
Compare crewai-architecture with existing skills:
- prompt-engineering-patterns (most complete)
- langchain-architecture (incomplete - missing refs)

Conclusion: crewai-architecture follows best practices and is more
complete than the existing langchain-architecture skill.

Co-Authored-By: Claude Opus 4.5 <[email protected]>
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