How does the Research skill handle outdated information?

The skill prioritizes publication dates and recent releases, cross-references multiple sources to identify conflicts, and favors official documentation over older community blog posts.

Can this skill save research findings to my project?

Yes, the skill can write synthesized findings directly to your project in a structured format, typically under a 'Research' directory, if you request documentation.

When should I use /knowledge-builder instead of the research skill?

Use the research skill for quick insights (2-10 minutes). Use /knowledge-builder for foundational project topics that require exhaustive exploration, Socratic learning, and comprehensive reference files.

What sources does the skill consider 'Highest Authority'?

It prioritizes 'Tier 1' sources including official documentation, academic papers, core maintainer blogs, and authoritative technical books to ensure high-quality output.

Technical Research & Synthesis

Name: Technical Research & Synthesis
Author: rysweet

byrysweet

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学习与文档

Performs rapid technical research and information synthesis to clarify unfamiliar concepts, libraries, and best practices.

关于

The Technical Research skill empowers Claude to bridge information gaps by quickly gathering and synthesizing data from authoritative web sources. It automates the process of investigating new technologies, debugging cryptic errors, and evaluating architectural trade-offs, providing structured summaries that include key concepts, code patterns, and actionable insights. By prioritizing official documentation and high-tier technical resources, it ensures developers receive current, verified information without leaving their terminal environment.

主要功能

Multi-tier source prioritization focusing on official documentation and core maintainers
Context-aware debugging for unfamiliar network, environment, or library errors
Strategy-based research modes for quick overviews or technical deep-dives
Smart escalation paths to specialized tools for deep architectural analysis
Structured synthesis providing mental models, best practices, and common pitfalls
16 GitHub stars

使用场景

Exploring new frameworks or libraries to determine project fit and implementation patterns
Diagnosing and resolving obscure system errors or environment configuration issues
Evaluating architectural trade-offs between competing technologies like REST vs. GraphQL

关于

主要功能

Multi-tier source prioritization focusing on official documentation and core maintainers
Context-aware debugging for unfamiliar network, environment, or library errors
Strategy-based research modes for quick overviews or technical deep-dives
Smart escalation paths to specialized tools for deep architectural analysis
Structured synthesis providing mental models, best practices, and common pitfalls
16 GitHub stars

使用场景

Exploring new frameworks or libraries to determine project fit and implementation patterns
Diagnosing and resolving obscure system errors or environment configuration issues
Evaluating architectural trade-offs between competing technologies like REST vs. GraphQL