claude-to-deerflow

Interact with the DeerFlow AI agent platform via its HTTP API.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/aifredoai/sdk --skill claude-to-deerflow-aifredoai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-to-deerflow
Source: https://github.com/aifredoai/sdk/tree/main/deerflow/skills/public/claude-to-deerflow
Command: npx skills add https://github.com/aifredoai/sdk --skill claude-to-deerflow-aifredoai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a seamless interface to interact with the DeerFlow AI agent platform, enabling complex research, analysis, and task delegation.

Core Features & Use Cases

  • Research & Analysis: Send messages and questions to DeerFlow for in-depth research and analysis.
  • Conversation Management: Start new threads or continue existing conversations within DeerFlow.
  • System Interaction: Check DeerFlow status, list available models/skills/agents, and manage memory.
  • File Handling: Upload files to DeerFlow threads for processing and analysis.
  • Use Case: Delegate a complex research task like "Analyze the market trends for renewable energy in Southeast Asia over the last five years, including key players and regulatory changes" to DeerFlow.

Quick Start

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

Frequently Asked Questions about claude-to-deerflow

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

FAQPage Schema
How do I delegate research and analysis tasks to a DeerFlow AI agent?

To delegate research tasks to a DeerFlow AI agent, use this Skill to send messages via the DeerFlow HTTP API, starting new conversation threads or continuing existing ones for in-depth analysis.

Can I upload files to DeerFlow for processing and analysis?

Yes, you can upload files to DeerFlow threads. This Skill supports file handling through the HTTP API, allowing the AI agent to process and analyze uploaded documents within your conversations.

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

Yes, you need a running DeerFlow instance. This Skill requires a configured DeerFlow deployment with environment variables set for the API endpoints to successfully manage task delegation and conversations.

How do I check DeerFlow system status and list available models or skills?

You can check DeerFlow system status and list available resources by sending a status request through this Skill. It interacts with the HTTP API to list models, skills, and agents, and manage memory.

What is the best way to manage conversation memory when using DeerFlow?

The best way to manage DeerFlow conversation memory is through this Skill's API integration, which handles conversation thread management and memory operations directly on your running DeerFlow instance.