CrewAI is a sophisticated multi-agent orchestration framework designed to help developers build collaborative AI systems where specialized agents work together to solve complex tasks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crewai
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install crewai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is CrewAI?
CrewAI stands out in the landscape of Openclaw Skills by providing a role-playing autonomous agent system. Unlike basic chat interfaces, CrewAI allows you to define agents with specific roles, goals, and backstories, creating a simulated professional environment. It empowers developers to build complex workflows by orchestrating how these agents interact, share information, and utilize external tools.
By leveraging the power of Openclaw Skills, CrewAI enables both sequential and hierarchical process management. This ensures that tasks are not just executed in isolation but are part of a cohesive strategy, making it ideal for deep research, technical writing, and multi-step business logic where high-quality output and accountability are paramount.
CrewAI Use Cases
- Orchestrating deep technical research by coordinating search agents and analytical agents.
- Automating technical content creation through specialized researcher and writer workflows.
- Designing complex RAG (Retrieval-Augmented Generation) pipelines that involve multiple document search steps.
- Building hierarchical management systems where a manager agent oversees the quality and progress of subordinate agents.
- Developing real-time financial analysis tools that integrate live stock data with market sentiment analysis.
How CrewAI Works
- Define Agents: Assign roles, goals, and backstories to various AI agents to establish their expertise and context.
- Assign Tasks: Create specific tasks with expected outputs and assign them to the most suitable agents.
- Integrate Tools: Provide agents with the necessary external capabilities like web searching, file reading, or custom API calls.
- Configure Process: Choose an orchestration strategy, such as sequential for step-by-step logic or hierarchical for managed execution.
- Execute Crew: Use the kickoff command to start the collaboration, allowing agents to pass context and memory between tasks until the final objective is reached.
CrewAI Setup
To get started with CrewAI using Openclaw Skills, install the core library and tools via pip:
pip install crewai crewai-tools
You can also quickly scaffold a new project using the built-in CLI:
crewai create crew my_project
CrewAI Data Schema & Taxonomy
The skill manages information through a structured hierarchy of entities and metadata:
| Entity | Taxonomy | Purpose |
|---|---|---|
| Agent | role, goal, backstory | Defines the personality and objective of the AI. |
| Task | description, expected_output | Outlines the specific work and the required result format. |
| Crew | agents, tasks, process | The container that orchestrates the collaboration. |
| Memory | short-term, long-term, entity | Persistent context storage across tasks and runs. |
| YAML Config | agents.yaml, tasks.yaml | Declarative configuration files for easy management. |
CrewAI Advanced Features
- Multi-Layer Memory: Features short-term, long-term, and entity memory to maintain context across different execution runs.
- Hierarchical Management: Automatically creates a Manager Agent to oversee task distribution and quality control.
- Human-in-the-Loop Training: Optimize agent performance by providing human feedback through the training iteration mode.
- Asynchronous Execution: Support for non-blocking operations using
kickoff_async()for high-throughput workflows. - Task Planning: Built-in planning capabilities that automatically generate an execution plan before tasks begin.
SKILL.md
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