claude-to-deerflow

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

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/ishi253/byteDanceApplication --skill claude-to-deerflow-ishi253
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-to-deerflow
Source: https://github.com/ishi253/byteDanceApplication/tree/main/deer-flow/skills/public/claude-to-deerflow
Command: npx skills add https://github.com/ishi253/byteDanceApplication --skill claude-to-deerflow-ishi253

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows users to seamlessly interact with the DeerFlow AI agent platform, enabling complex research, analysis, and task delegation through a unified interface.

Core Features & Use Cases

  • Research & Analysis: Send messages and questions to DeerFlow for in-depth research and analysis.
  • Conversation Management: Start new conversation threads, check DeerFlow's status, and manage memory.
  • Task Delegation: Upload files for processing, list available models and skills, and delegate complex tasks to DeerFlow's agents.
  • Use Case: A user can ask DeerFlow to research market trends for a new product, and the Skill will handle the API calls to get a comprehensive report.

Quick Start

Use the claude-to-deerflow skill to ask DeerFlow about the latest advancements in renewable energy.

Frequently Asked Questions about claude-to-deerflow

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

FAQPage Schema
How do I send messages to an AI agent for research and analysis tasks?

You can send messages to an AI agent for research and analysis by interacting with the DeerFlow platform via its HTTP API. The Skill handles API calls to DeerFlow's Gateway and LangGraph endpoints to process your questions and return comprehensive reports.

Can I manage conversation threads and memory with DeerFlow?

You can manage conversations and memory with DeerFlow using this Skill. It supports starting new conversation threads, checking agent status, managing memory context, and listing available resources to maintain continuous research sessions.

How do I upload files for processing when delegating tasks to an AI agent?

To upload files for processing and delegate complex tasks to an AI agent, the Skill uses DeerFlow's HTTP API. It handles file uploads alongside task delegation, allowing the agent to process documents and perform comprehensive analysis.

Does this approach require specific API endpoints for agent orchestration?

Agent orchestration requires integrating with DeerFlow's Gateway and LangGraph APIs. The Skill manages these HTTP API interactions internally, so you can perform task delegation and research without directly configuring the underlying endpoints.

What is the best way to list available models and skills on an AI agent platform?

The best way to list available models and skills on an AI agent platform is through DeerFlow's API. The Skill queries the platform to retrieve active resources, enabling you to verify capabilities before delegating research or analysis tasks.