Autonomous multi-agent orchestration framework for collaborative AI teams solving complex tasks.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add davila7/claude-code-templates --skill crewai-multi-agentCompatible with
Supported agents
Role-based agents with goals, backstories, and autonomous decision-making; supports sequential and hierarchical task execution with built-in memory (short-term, long-term, entity)
50+ pre-built tools including web search, scraping, PDFs, databases, and code documentation; custom tools via BaseTool class
Dual execution paradigm: Crews for autonomous collaboration and Flows for event-driven
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncrewai-multi-agentExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill crewai-multi-agentFetches crewai-multi-agent from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/crewai-multi-agent
Restart Cursor to activate crewai-multi-agent. Access via /crewai-multi-agentin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
nowait-reasoning-optimizer
davila7/claude-code-templates · AI/ML · same repo
scientific-brainstorming
davila7/claude-code-templates · AI/ML · same repo
research-grants
davila7/claude-code-templates · Productivity · same repo
shopify-development
davila7/claude-code-templates · Productivity · same repo
backend-to-frontend-handoff-docs
davila7/claude-code-templates · Frontend · same repo
scientific-visualization
davila7/claude-code-templates · Productivity · same repo
We added crewai-multi-agent from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
crewai-multi-agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend crewai-multi-agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: crewai-multi-agent is focused, and the summary matches what you get after install.
crewai-multi-agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
crewai-multi-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in crewai-multi-agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
crewai-multi-agent reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for crewai-multi-agent matched our evaluation — installs cleanly and behaves as described in the markdown.
crewai-multi-agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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