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Kotuhan
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research

Research technical topics and store findings in markdown knowledge base files.

Updated Feb 19, 2026
Search Tags:#research#AI agent#information retrieval#web search#knowledge base#technical documentation
One-click install
npx skills add https://github.com/Kotuhan/labor-market-dashboard --skill research-kotuhan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/Kotuhan/labor-market-dashboard/tree/main/.claude/skills/research
Command: npx skills add https://github.com/Kotuhan/labor-market-dashboard --skill research-kotuhan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of acquiring and organizing technical knowledge by providing a structured approach to researching complex topics, ensuring up-to-date information is readily available.

Core Features & Use Cases

  • Knowledge Base Management: Maintains a categorized repository of research findings.
  • Automated Research: Leverages AI agents to search the web and internal knowledge bases for information.
  • Use Case: When encountering a new API or a complex architectural pattern, invoke this Skill to gather comprehensive documentation, best practices, and examples, storing it for future reference.

Quick Start

Research the topic of 'Claude API structured output patterns'.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate technical information retrieval for complex architectural patterns?▼

Synthesizing technical information uses AI agents to query web sources and internal documentation, creating structured markdown files. This process builds a categorized knowledge base repository, ensuring complex architectural patterns and APIs are systematically organized for discoverability.

What's the best way to maintain a knowledge base of API documentation?▼

Maintaining an API documentation knowledge base requires creating and updating markdown files from synthesized research. This manages a categorized repository of technical information, ensuring documentation remains structured and readily available for future reference.

Can I use AI agents to research new APIs and store the findings?▼

AI agents can research new APIs by querying web sources and internal knowledge bases. The gathered documentation, best practices, and examples are synthesized and stored as markdown files, creating a persistent reference for future use.

Do I need a researcher subagent to perform web searches for technical topics?▼

A researcher subagent is required to query web sources and access web search tools. This subagent executes the automated research process, gathering and synthesizing technical information into your internal knowledge base.

When should I use an automated research tool instead of manual web search?▼

Use automated research when encountering new APIs or complex technical topics requiring comprehensive documentation. It addresses the challenge of acquiring and organizing knowledge systematically, ensuring structured information is readily available without manual effort.

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