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research

Research technical topics and save structured learnings to .agents/research/.

17|2|Updated Jan 31, 2026
Search Tags:#documentation#research#synthesis#notes#sources#web-search
One-click install
npx skills add https://github.com/colmarius/dot-agents --skill research-colmarius
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/colmarius/dot-agents/tree/main/.agents/skills/research
Command: npx skills add https://github.com/colmarius/dot-agents --skill research-colmarius

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep research on technical topics and structured learnings saved to .agents/research/ for future reference.

Core Features & Use Cases

  • Web searches for authoritative sources, cross-source synthesis, and organized documentation
  • Cross-reference multiple sources and distill actionable insights
  • Save structured learnings to .agents/research/ for long-term access

Quick Start

Ask the AI to perform focused research on a topic and save the results to .agents/research/[topic-slug].md

Frequently Asked Questions about research

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

FAQPage Schema
How do I save structured technical research notes from multiple web sources?▼

Deep research on technical topics involves collecting authoritative sources, cross-referencing information, and saving structured learnings to .agents/research/ for long-term access. It is needed for engineering, data, and product contexts requiring traceable notes.

What is the best way to cross-reference sources and distill actionable insights for engineering contexts?▼

The best way to distill actionable insights is using a synthesis workflow that gathers multiple authoritative sources and documents organized findings. This approach applies directly to engineering, data, and product exploration tasks.

Can I use this for deep technical exploration and save the results to a specific markdown file?▼

Yes, you can use this for deep technical exploration by asking the AI to perform focused research on a topic. Results are saved as structured learnings to .agents/research/[topic-slug].md for long-term access.

Does the research workflow require any external dependencies or components to run?▼

No external dependencies or components are required to run the research workflow. The Skill independently handles web searches, multi-source synthesis, and the automatic storage of structured learnings.

What are the limitations of automated web research and multi-source synthesis?▼

Automated web research relies on finding authoritative information available online, meaning synthesis quality depends on source availability. It is designed for technical topics rather than general knowledge queries.

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