How does CTX:Researcher differ from a standard web search?

Unlike a standard search, CTX:Researcher deploys three specialized AI agents simultaneously to look for implementation patterns, library ecosystems, and local codebase context, synthesizing the findings into a structured report.

Does this skill analyze my local source code?

Yes, one of the three agents is specifically dedicated to codebase pattern analysis, ensuring that the recommended tools and solutions are compatible with your existing architecture.

What is the typical cost and time for a research task?

A standard research query costs approximately $0.07 in API credits and takes between 1 to 2 minutes to complete all three parallel agent workflows.

Can I research non-technical topics with this skill?

While the output structure is optimized for technical evaluations (like libraries and frameworks), the parallel agents can investigate any topic the user requests.

How do I trigger the research skill in Claude Code?

You can activate it by asking Claude to 'research', 'investigate', or 'compare' specific technologies, which will trigger the /ctx:research command.

CTX Researcher

Name: CTX Researcher
Author: Shakes-tzd

byShakes-tzd

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生产力与工作流

Conducts high-speed, multi-agent technical research to identify the best libraries, tools, and implementation patterns for your project.

关于

The CTX:Researcher skill automates complex technical investigations by deploying three parallel Haiku agents to simultaneously scan the web and analyze your codebase. It provides comprehensive reports comparing tools, outlining pros and cons, and offering migration paths, allowing developers to make informed architectural decisions in minutes rather than hours. By integrating real-time web search with local pattern analysis, it ensures recommendations are both current and contextually grounded in your specific project requirements.

主要功能

Standardized report generation including migration guides and adoption considerations
Cost-efficient research workflows with a typical turnaround of 1-2 minutes
1 GitHub stars
Deep analysis of existing codebase patterns to ensure architectural compatibility
Parallel execution of three specialized research agents for web and code analysis
Automated comparison of top libraries and frameworks with objective pros and cons

使用场景

Investigating industry-standard patterns for implementing secure authentication
Comparing modern state management libraries for a new React application
Evaluating and selecting the most performant ORM for a specific database stack

关于

主要功能

Standardized report generation including migration guides and adoption considerations
Cost-efficient research workflows with a typical turnaround of 1-2 minutes
1 GitHub stars
Deep analysis of existing codebase patterns to ensure architectural compatibility
Parallel execution of three specialized research agents for web and code analysis
Automated comparison of top libraries and frameworks with objective pros and cons

使用场景

Investigating industry-standard patterns for implementing secure authentication
Comparing modern state management libraries for a new React application
Evaluating and selecting the most performant ORM for a specific database stack