research

Structure project context into research questions and synthesize literature into deep reports.

29|3|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/Vincentwei1021/Synapse --skill research-vincentwei1021
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/Vincentwei1021/Synapse/tree/main/public/synapse-plugin/skills/research
Command: npx skills add https://github.com/Vincentwei1021/Synapse --skill research-vincentwei1021

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researching effectively requires grounding on existing literature and turning project context into well-formed questions, but teams often struggle to organize related works and synthesize evidence into a coherent deep research report before experiments begin.

Core Features & Use Cases

  • Project context framing: understands the active research project and extracts the problem framing needed for upstream research work.
  • Research question development: creates or progresses research questions so later experiments have stable, tool-attached context.
  • Progressive literature search and synthesis: searches papers, curates related works for durable memory, and produces a deep research report synthesized thematically with targeted citations.
  • Use Case: Before planning experiments, investigate prior art and produce a deep research report that matches the project description’s language and organizes findings around themes rather than paper-by-paper notes.

Quick Start

Ask the AI to run pre-experiment research for your active project by checking in, retrieving or creating research questions, searching papers, curating related works, and saving a deep research report.

Frequently Asked Questions about research

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

FAQPage Schema
How do I write a deep research report from existing literature before starting experiments?

To write a deep research report, structure your project context into research questions, run a literature search, and synthesize evidence thematically with targeted citations. This grounds your experiment planning in prior art and organizes findings around themes rather than paper-by-paper notes.

What is the best way to frame research questions for a literature review?

The best way to frame research questions is to extract problem framing directly from your active research project context. Developing stable, tool-attached questions ensures later experiments have durable context and allows progressive literature search to target relevant prior art.

How do I curate related works for durable memory in a research workflow?

To curate related works for durable memory, use MCP tools to search papers, inspect results, and persist related-work findings. This ensures your literature review remains accessible and provides stable context for progressive paper reading and deep research report generation.

Can I use Synapse MCP tools for progressive paper reading and report generation?

Yes, you can use Synapse MCP tools for progressive paper reading and report generation. The tools support check-in, project and question retrieval, paper search, inspection, related-work persistence, and saving deep-research reports without moving into experiment execution.

Does pre-experiment research stop before experiment execution?

Yes, pre-experiment research stops before experiment execution. The process strictly covers question formulation, related-work curation, progressive paper reading, and durable report generation, intentionally halting before moving into active experiment planning or execution phases.