research-union

Name: research-union
Availability: InStock
Author: SenseTime-FVG

Orchestrate a seven-stage research workflow for evidence-based reports.

8|Updated Feb 25, 2026

Search Tags:#planning #research #multi-source #evidence #synthesis #deep-analysis

Ready to run

npx skills add https://github.com/SenseTime-FVG/sensenova-claw --skill research-union

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-union
Source: https://github.com/SenseTime-FVG/sensenova-claw/tree/main/.sensenova-claw/skills/research-union
Command: npx skills add https://github.com/SenseTime-FVG/sensenova-claw --skill research-union

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables iterative, multi-source deep research to produce comprehensive, evidence-based reports, reducing time to insight and improving decision quality.

Core Features & Use Cases

Orchestrates a seven-stage research workflow (PLAN → DIVERGE → SEARCH → TRIAGE → READ → REASSESS → SYNTHESIZE) for complex inquiries.
Supports multi-source collection, cross-verification, and structured evidence documentation for thorough analysis.
Suitable for competitive analysis, trend assessment, strategy validation, and fact-checking across domains and timeframes.

Quick Start

Describe your information need, scope, and constraints to start an iterative deep research session.

Frequently Asked Questions about research-union

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

FAQPage Schema

How do I conduct multi-source deep research for competitive analysis?▼

Multi-source deep research for competitive analysis is orchestrated through a seven-stage workflow: PLAN, DIVERGE, SEARCH, TRIAGE, READ, REASSESS, and SYNTHESIZE. This process performs cross-source validation and structured evidence recording to produce comprehensive, evidence-based reports.

What is the best way to synthesize evidence from multiple sources for a trend assessment?▼

The best way to synthesize evidence for trend assessment is using an iterative research workflow that performs multi-source collection and cross-verification. It triages and reads findings, then reassesses and synthesizes them into a structured, evidence-based report across specified domains and timeframes.

Can I use iterative research to fact-check information across different domains?▼

Yes, you can use iterative research to fact-check information across domains and timeframes. The workflow applies multi-source collection and cross-source validation to verify facts, documenting the evidence structurally to ensure thorough analysis and accurate conclusions.

How does cross-source validation work during evidence synthesis?▼

Cross-source validation during evidence synthesis works by iteratively searching, triaging, and reading multiple sources. The workflow reassesses findings against collected evidence, structurally recording validation steps to ensure the final synthesis is comprehensive and evidence-based.

What do I need to start an iterative deep research session for strategy evaluation?▼

To start an iterative deep research session for strategy evaluation, you need to describe your information need, scope, and constraints. Providing these parameters initiates the planning, divergence, and search stages to gather and validate relevant evidence.

Are there limitations to using automated evidence synthesis for complex inquiries?▼

Automated evidence synthesis for complex inquiries requires clearly defined scopes and constraints to function effectively. Limitations arise if the initial planning phase lacks specificity, which can impact the accuracy of the triage, reading, and reassessment stages of the research workflow.