What tools does this skill use for web research?

The skill delegates tasks to a deep-researcher agent that utilizes EXA MCP tools for advanced web searching, specifically optimized for technical and code-related content.

Can I share my research findings with my development team?

Yes, you can use the '/research promote' command to move findings from your local cache into the project's 'docs/research' folder for version control and team access.

How does the caching system work in Deep Research?

It uses a two-tier system: Tier 1 is a local cache in your user directory for fast cross-project retrieval, and Tier 2 is a project-specific directory for shared team documentation.

How do I update research that has become outdated?

You can use the '/research refresh' command followed by the topic slug to force a new investigation, which updates the cache while preserving your specific team notes.

Deep Research Pro

Name: Deep Research Pro
Author: joaquimscosta

byjoaquimscosta

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学习与文档

Conducts in-depth technical investigations using EXA tools with intelligent caching to streamline knowledge sharing and architectural decision-making.

关于

The Deep Research skill empowers developers to perform exhaustive technical investigations directly within Claude Code. By leveraging EXA search tools, it identifies best practices, architectural patterns, and specialized documentation, organizing the findings into a tiered caching system. This architecture supports both individual productivity through local cross-project reuse and team collaboration by promoting research into version-controlled project documentation, ensuring that critical technical knowledge is never lost or duplicated.

主要功能

Seamless integration with EXA tools for high-fidelity web and documentation search.
Automated delegation to specialized agents for structured technical data retrieval.
Intelligent two-tier caching for individual speed and team-wide knowledge sharing.
3 GitHub stars
Integrated command suite for promoting, refreshing, and managing research entries.
Slug normalization to ensure consistent organization of research topics and aliases.

使用场景

Rapidly retrieving previous research findings to avoid redundant searches across different projects.
Investigating industry best practices for specific software architectures or frameworks.
Building a persistent, version-controlled knowledge base within a team's documentation folder.

关于

主要功能

Seamless integration with EXA tools for high-fidelity web and documentation search.
Automated delegation to specialized agents for structured technical data retrieval.
Intelligent two-tier caching for individual speed and team-wide knowledge sharing.
3 GitHub stars
Integrated command suite for promoting, refreshing, and managing research entries.
Slug normalization to ensure consistent organization of research topics and aliases.

使用场景

Rapidly retrieving previous research findings to avoid redundant searches across different projects.
Investigating industry best practices for specific software architectures or frameworks.
Building a persistent, version-controlled knowledge base within a team's documentation folder.