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claude-to-deerflow

Send messages and manage threads via the DeerFlow HTTP API.

4|Updated Mar 29, 2026
Search Tags:#ai agent#http api#thread management#deerflow#resource access
One-click install
npx skills add https://github.com/syusama/deer-flow-wechat --skill claude-to-deerflow-syusama
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-to-deerflow
Source: https://github.com/syusama/deer-flow-wechat/tree/main/deer-flow/skills/public/claude-to-deerflow
Command: npx skills add https://github.com/syusama/deer-flow-wechat --skill claude-to-deerflow-syusama

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill facilitates seamless communication with the DeerFlow AI agent platform through its HTTP API, addressing the need for sending messages, managing threads, and accessing various functionalities of the platform.

Core Features & Use Cases

  • HTTP API Interaction: Communicate with a running DeerFlow instance using its HTTP API.
  • Message Streaming: Send messages and receive streaming responses from DeerFlow.
  • Thread Management: Create, continue, and list conversation threads.
  • Resource Management: List available models, skills, agents, and manage memory.
  • File Uploads: Upload files to DeerFlow threads for processing.
  • Use Case: Ideal for users who need to integrate DeerFlow into their workflow, manage complex research tasks, or streamline communication with the platform.

Quick Start

Run the chat script to send a message to DeerFlow: bash /path/to/skills/claude-to-deerflow/scripts/chat.sh "Your question here"

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 instance using its HTTP API?▼

You can interact with a DeerFlow instance by running the chat script to send messages and receive streaming responses via the HTTP API.

Can I manage conversation threads and upload files through the DeerFlow HTTP API?▼

Yes, the HTTP API supports creating, continuing, and listing conversation threads, and allows uploading files to DeerFlow threads for processing.

Do I need knowledge of JSON data structures to use the DeerFlow API integration?▼

Yes, using this integration requires knowledge of HTTP API endpoints and JSON data structures to send messages and manage threads effectively.

How do I list available models and agents in DeerFlow?▼

You can list available models, skills, and agents by accessing the resource management functionalities provided through the HTTP API integration.

What is the best way to send a message to DeerFlow for a complex research task?▼

The best way is to execute the chat script with your query, leveraging the platform's streaming responses and thread management to handle complex research tasks.

Why does DeerFlow API integration require a running DeerFlow instance?▼

A running instance is required because the integration communicates directly with the platform via its HTTP API to access its agents and resource management capabilities.

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