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claude-to-deerflow

Send messages and manage threads via the DeerFlow HTTP API.

Updated Mar 8, 2026
Search Tags:#automation#research#api#llm#ai agent#deerflow
One-click install
npx skills add https://github.com/gman-robotics/gmr-deerflow --skill claude-to-deerflow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-to-deerflow
Source: https://github.com/gman-robotics/gmr-deerflow/tree/main/skills/public/claude-to-deerflow
Command: npx skills add https://github.com/gman-robotics/gmr-deerflow --skill claude-to-deerflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill allows you to seamlessly interact with the DeerFlow AI agent platform, enabling complex research, analysis, and task delegation.

Core Features & Use Cases

  • Send Messages: Communicate with DeerFlow agents to ask questions or initiate research tasks.
  • Manage Conversations: Start new threads, continue existing conversations, and check DeerFlow's status.
  • Access Information: List available models, skills, and agents within DeerFlow.
  • File Handling: Upload documents to threads for agents to process.
  • Use Case: Delegate a complex research task like "Analyze the market trends for renewable energy in Southeast Asia over the last five years" to DeerFlow.

Quick Start

Use the claude-to-deerflow skill to send the message "What is the current status of DeerFlow?" to the platform.

Frequently Asked Questions about claude-to-deerflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interact with a DeerFlow AI agent for research tasks?▼

To interact with a DeerFlow AI agent, you can send messages via the platform's HTTP API to initiate research, ask questions, and delegate complex analysis tasks to the agent.

Can I upload files to DeerFlow agents for processing?▼

Yes, you can upload documents to existing conversation threads, allowing the DeerFlow agents to process the file contents and use them for research and analysis tasks.

How do I manage conversation threads when using the DeerFlow API?▼

You can manage DeerFlow conversations by starting new threads, continuing existing ones, and checking the system status to track the progress of your delegated research tasks.

Do I need a running DeerFlow instance to use this API integration?▼

Yes, you need a running DeerFlow instance with accessible Gateway and LangGraph API endpoints to send messages, manage threads, and list available models and skills.

What resources can I list when connected to the DeerFlow platform?▼

When connected to the DeerFlow platform, you can list available resources including models, skills, and agents to understand the capabilities of your AI agent environment.

How do I check the system status of my DeerFlow instance?▼

You can check the system status of your DeerFlow instance by sending a status request through the HTTP API, ensuring the Gateway and LangGraph endpoints are accessible and operational.

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