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research-executor

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Coordinate multi-agent research with GoT rigor.

Education & Research#multi-agent#citations#synthesis#phase-based#GoT#research-executor
Authorliangdabiao
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables researchers and teams to conduct rigorous, citation-backed deep research by orchestrating multiple AI agents through a 7-phase process and Graph of Thoughts (GoT). It reduces manual effort in planning, coordinating, and synthesizing complex studies.

Core Features & Use Cases

  • 7-Phase Deep Research Process Execution: Automates phase-by-phase research workflow from question scoping to packaging.
  • Multi-Agent Coordination: Deploys Web Research, Academic/Technical, and Cross-Reference agents to gather diverse sources.
  • GoT-Driven Synthesis: Uses Graph of Thoughts to generate parallel paths and aggregate findings.
  • Inline Citations & Verification: Ensures every factual claim links to verifiable sources and a verification loop.

Quick Start

Provide a structured prompt with TASK, CONTEXT, SPECIFIC_QUESTIONS, KEYWORDS, CONSTRAINTS, and OUTPUT_FORMAT to the Research Executor. It will decompose the task, deploy agents in parallel, and output a packaged report under RESEARCH/[topic]/.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: research-executor
Download link: https://github.com/liangdabiao/Claude-Code-Deep-Research-main/archive/main.zip#research-executor

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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