sn-dimension-research

Automate multi-source research workflows to gather, verify, and synthesize evidence.

4.9k|347|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill sn-dimension-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sn-dimension-research
Source: https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-dimension-research
Command: npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill sn-dimension-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of conducting comprehensive dimension research by coordinating multi-source searches and evidence collection efficiently.

Core Features & Use Cases

  • Multi-source search orchestration: Coordinates broad discovery, targeted deep digging, and source verification based on a dimension's plan.
  • Cross-source evidence integration: Combines diverse sources like academic, official, and community data to form a complete evidence picture.
  • Use Case: When analyzing a complex policy impact, automatically retrieve relevant papers, official reports, and social opinions, then synthesize key findings.

Quick Start

Provide dimension parameters and plan files to initiate multi-source, multi-layered research and generate a concise report with key findings and evidence summary.

Frequently Asked Questions about sn-dimension-research

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

FAQPage Schema
How do I automate multi-source evidence collection for complex policy analysis?

Multi-source evidence collection automates the retrieval and verification of academic, official, and community data based on a specified dimension plan. It coordinates broad discovery and targeted deep digging to synthesize key findings into a comprehensive report.

What is cross-source evidence integration and when do I need it for corporate research?

Cross-source evidence integration combines diverse data from academic papers, official reports, and social opinions to form a complete evidence picture. You need it when analyzing complex corporate or technical impacts that require extensive source orchestration and cross-verification.

Can I use dimension research to verify technical analysis from diverse sources?

Dimension research verifies technical analysis by orchestrating multi-source searches and cross-checking evidence against a predefined plan. It retrieves relevant papers and official reports, ensuring comprehensive and cross-verified evidence collection aligned with your research strategies.

How to start a multi-layered research workflow for a specified dimension?

To start a multi-layered research workflow, provide your dimension parameters and plan files. The system then initiates automated multi-source searches, gathering and synthesizing evidence to generate a concise report with key findings.

What are the limitations of automated source orchestration for complex research?

Automated source orchestration limitations depend on the scope of your provided dimension parameters and plan files. It is designed for complex analyses requiring extensive source coordination, so insufficient plan specifications may impact the comprehensiveness of the cross-verified evidence collection.