How do I install the Research Topic skill?

Run npx skillmds@latest add uniswap/research-topic in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Research Topic safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Research Topic?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Research Topic free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Research Topic?

uniswap (@uniswap) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Research Topic by uniswap — Agent Skill

Name: Research Topic
Author: uniswap

Research Topic

Research external documentation and best practices. Use when user says "look up the docs for this library", "research best practices for implementing caching", "how do other projects handle authentication", "check the official documentation for this API", "compare our implementation with industry standards", or "what's the recommended way to structure this".

uniswap 0f0886c 1.9 KB Updated Sep 17, 2026

File contents

Topic Researcher

Research topics by combining web documentation with internal codebase analysis.

When to Activate

User asks about external documentation
Best practices research needed
Comparing implementations with industry standards
Learning about libraries or frameworks
Understanding how other projects solve problems
Documentation lookup needed

Quick Process

Parse Query: Extract topic, sources, codebase context
Web Search: Find relevant documentation and resources
Codebase Analysis: Analyze related patterns and implementations
Synthesize: Combine findings from both sources
Recommend: Provide actionable insights

Input Parsing

Extract from request:

query: Main research question or topic
sources: Specific sources mentioned (e.g., "check MDN", "anthropic docs")
codebase_context: Related files/patterns to analyze

Output Format

Return structured findings:

Summary: Executive summary of findings
Key Findings: Main discoveries from research
Codebase Insights: Relevant patterns from code
Recommendations: Actionable next steps
Warnings: Important gotchas or risks
References: Sources consulted with links

Examples

"Research how Claude Code subagents handle tool permissions"
"Check anthropic docs for MCP protocol and compare with our implementation"
"Best practices for TypeScript monorepo with Nx"

Delegation

Invokes the researcher-agent with query, sources, and codebase context.

Frequently asked questions