research-executor

Name: research-executor
Availability: InStock
Author: liangdabiao

Orchestrate multi-agent research with a 7-phase framework and Graph of Thoughts.

277|46|Updated Dec 25, 2025

Search Tags:#multi-agent #citations #synthesis #phase-based #GoT #research-executor

Ready to run

npx skills add https://github.com/liangdabiao/Claude-Code-Deep-Research-main --skill research-executor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-executor
Source: https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor
Command: npx skills add https://github.com/liangdabiao/Claude-Code-Deep-Research-main --skill research-executor

SYSTEM DOCUMENTATION & REQUIREMENTS

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]/.

Frequently Asked Questions about research-executor

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

FAQPage Schema

How do I conduct multi-agent research with citations and verification?▼

Multi-agent research coordinates specialized agents (Web, Academic, Cross-Reference) through a 7-phase framework to gather diverse sources and synthesize findings. Each claim receives inline citations linked to verifiable sources, with a validation loop ensuring accuracy before final delivery of a structured report.

What is Graph of Thoughts and how does it improve research synthesis?▼

Graph of Thoughts (GoT) generates parallel research paths and aggregates findings into coherent outputs. It enables structured reasoning across multiple agents, ensuring comprehensive coverage of complex topics and organized synthesis ready for packaging.

Can I decompose complex research questions into manageable subtopics automatically?▼

The 7-phase process automatically decomposes complex questions into 3-7 subtopics, assigns specialized agents to each, and orchestrates parallel execution. This reduces manual planning effort and ensures systematic coverage of all research dimensions.

How do I generate fully cited research reports with strict source enforcement?▼

Provide a structured prompt with TASK, CONTEXT, SPECIFIC_QUESTIONS, KEYWORDS, CONSTRAINTS, and OUTPUT_FORMAT. The Skill enforces inline citations for all factual claims, runs verification loops to validate accuracy, and outputs organized reports packaged under RESEARCH/[topic]/ directories.

What teams and use cases benefit most from coordinated deep research?▼

Research teams, academic institutions, and organizations requiring rigorous citation-backed studies benefit from this approach. It reduces manual coordination overhead for complex investigations by automating agent deployment, synthesis, and verification across multiple information sources.

Do I need prior experience with multi-agent systems or research frameworks to use this?▼

No specialized prerequisite knowledge is required. The Skill abstracts the 7-phase orchestration and GoT reasoning into a structured input format. Provide your research goal and constraints; the system handles agent coordination, parallel execution, and synthesis automatically.