9965d67bb5
Adds a Skills Repository feature allowing users to publish, install,
and use skills from the CrewAI registry with @org/skill-name refs.
## What's New
### SDK (lib/crewai/)
- SkillFrontmatter: added optional 'version' field (backward compatible)
- SkillCacheManager: manages ~/.crewai/skills/{org}/{name}/ with
.crewai_meta.json tracking, path-traversal-safe tar extraction
- SkillRegistry: parse @org/skill-name refs, local-first resolution
(./skills/ > cache > download), interactive prompt on first use,
CI-mode guard (CREWAI_NONINTERACTIVE/CI env vars)
- Agent.skills and Crew.skills widened to accept str refs (@org/name)
- set_skills() resolves registry refs with org-prefixed dedup keys
- New events: SkillDownloadStartedEvent, SkillDownloadCompletedEvent
### CLI (lib/cli/)
- crewai skill create <name> — context-aware (project vs standalone)
- crewai skill install @org/name — downloads to ./skills/ or cache
- crewai skill publish — ZIP + upload to org registry
- crewai skill list — show installed skills
### PlusAPI (lib/crewai-core/)
- Added SKILLS_RESOURCE, get_skill(), publish_skill(), list_skills()
### Scaffolding
- crew and flow templates now include skills/ directory
### Tests
- 91 SDK skill tests + 15 CLI skill tests, all passing
{{crew_name}} Crew
Welcome to the {{crew_name}} Crew project, powered by crewAI. This template is designed to help you set up a multi-agent AI system with ease, leveraging the powerful and flexible framework provided by crewAI. Our goal is to enable your agents to collaborate effectively on complex tasks, maximizing their collective intelligence and capabilities.
Installation
Ensure you have Python >=3.10 <3.14 installed on your system. This project uses UV for dependency management and package handling, offering a seamless setup and execution experience.
First, if you haven't already, install uv:
pip install uv
Next, navigate to your project directory and install the dependencies:
(Optional) Lock the dependencies and install them by using the CLI command:
crewai install
Customizing
Add your OPENAI_API_KEY into the .env file
- Modify
src/{{folder_name}}/config/agents.yamlto define your agents - Modify
src/{{folder_name}}/config/tasks.yamlto define your tasks - Modify
src/{{folder_name}}/crew.pyto add your own logic, tools and specific args - Modify
src/{{folder_name}}/main.pyto add custom inputs for your agents and tasks
Running the Project
To kickstart your flow and begin execution, run this from the root folder of your project:
crewai run
This command initializes the {{name}} Flow as defined in your configuration.
This example, unmodified, will run a content creation flow on AI Agents and save the output to output/post.md.
Understanding Your Crew
The {{name}} Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in config/tasks.yaml, leveraging their collective skills to achieve complex objectives. The config/agents.yaml file outlines the capabilities and configurations of each agent in your crew.
Support
For support, questions, or feedback regarding the {{crew_name}} Crew or crewAI.
- Visit our documentation
- Reach out to us through our GitHub repository
- Join our Discord
- Chat with our docs
Let's create wonders together with the power and simplicity of crewAI.