Communicate with a running DeerFlow instance via its HTTP API. DeerFlow is an AI agent platform
Run in your terminal
built on LangGraph that orchestrates sub-agents for research, code execution, web browsing, and more.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionclaude-to-deerflowExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/bytedance/deer-flow --skill claude-to-deerflowFetches claude-to-deerflow from bytedance/deer-flow 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:
Restart Cursor to activate claude-to-deerflow. Access via /claude-to-deerflowin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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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
Package manager
npx skills add https://github.com/bytedance/deer-flow --skill claude-to-deerflowWorks with
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
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.
bytedance/deer-flow
anthropics/skills
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anthropics/skills
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whyashthakker/agent-skills-marketing
claude-to-deerflow reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added claude-to-deerflow from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for claude-to-deerflow matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for claude-to-deerflow matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: claude-to-deerflow is the kind of skill you can hand to a new teammate without a long onboarding doc.
claude-to-deerflow reduced setup friction for our internal harness; good balance of opinion and flexibility.
claude-to-deerflow is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend claude-to-deerflow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: claude-to-deerflow is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: claude-to-deerflow is focused, and the summary matches what you get after install.
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