What tools does the Research skill use to find information?

The skill utilizes three primary MCP servers: context7 for official documentation, octocode for searching GitHub repositories and issues, and firecrawl for scraping tutorials and community benchmarks.

Is this skill suitable for quick API lookups?

While it can perform lookups, it is specifically designed for systematic investigation. For well-known patterns or simple queries, standard Claude interactions are often faster.

How does the skill evaluate different technology options?

It uses a systematic matrix covering four key criteria: performance (benchmarks/latency), maintainability (docs quality/activity), security (CVEs/audits), and adoption (downloads/usage patterns).

How are research findings formatted?

Findings are delivered in a structured report including a research summary, comparison matrix, primary recommendation with rationale, and a list of authoritative sources with links.

Research and Evaluation

Name: Research and Evaluation
Author: outfitter-dev

byoutfitter-dev

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学习与文档

Conducts systematic technical investigations and evidence-based technology evaluations using multi-source documentation and code analysis.

The Research skill empowers Claude to perform deep-dive investigations into software technologies, best practices, and architectural patterns. By leveraging specialized MCP tools like context7, octocode, and firecrawl, it systematically discovers official documentation, analyzes GitHub issues, and scrapes community tutorials to provide authoritative recommendations. The skill follows a rigorous five-stage methodology—spanning initial scope definition to final reporting—ensuring that every technical decision is backed by cross-referenced citations, confidence levels, and a clear analysis of tradeoffs and limitations.

主要功能

01Systematic comparison of technologies based on performance and adoption

02Automated research stage tracking with the maintain-tasks skill

03Evidence-based reporting with confidence levels and direct citations

0418 GitHub stars

05Multi-source information retrieval using specialized MCP servers

06Deep documentation discovery for libraries, APIs, and frameworks

使用场景

01Establishing industry-standard best practices for specific implementation patterns

02Evaluating and comparing competing libraries or frameworks for a new project

03Investigating complex error resolutions through GitHub issues and official guides

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add outfitter-dev/agents research

For use in Claude.ai and ChatGPT

Download Skill