Browse skills

This "Paper Analyzer" skill extracts key information from documents like research papers, boosting productivity and streamlining analysis.

Provides AI agents guidance and assistance for software development workflows.

This skill leverages vector databases to efficiently store and search semantic similarity between data points, enabling powerful retrieval-based AI applications.

Quickly gathers relevant information from websites based on provided keywords and summarizes key findings.

This AI analyzes complex data sets to identify hidden patterns and anomalies within “dark matter” simulations – useful for research & discovery.

Helps with AI, search, optimization as part of agent workflows workflows.

Provides code review guidance and assistance for software development workflows.

Serves LLMs like VLLM efficiently for experimentation and deployment, streamlining development workflows and scaling AI applications.

Helps with web development, search as part of developing backend services and APIs workflows.

Provides LLMs guidance and assistance for building AI and machine learning applications.

Cs Marketing Research — provides AI agent assistance for software development workflows.

Helps with content writing, Rust as part of developing backend services and APIs workflows.

Helps with web development, search as part of developing backend services and APIs workflows.

Executes Rust unit tests against provided code, reporting results and errors to facilitate backend development.

Quickly retrieve relevant information from your database using semantic vector search powered by ruvnet's agentdb.

Analyzes Redisearch codebases to identify areas lacking Rust test coverage, improving reliability and maintainability.

Helps with analysis, Rust as part of developing backend services and APIs workflows.

Gsc Assistant helps you quickly generate and refine Google Search Console (GSC) reports for data-driven SEO insights and improved website performance.

Helps with PostgreSQL, search as part of working with databases and data persistence workflows.

Helps with Rust, guidelines as part of developing backend services and APIs workflows.

Measures Redisearch performance using Rust benchmarks to identify bottlenecks and optimize indexing efficiency.

Rapidly generates user research insights and designs interactive frontend prototypes based on provided requirements and data.

Helps with search, SQLite as part of working with databases and data persistence workflows.

This Port C Module facilitates seamless data transfer between RedisSearch and external systems, streamlining integration workflows for enhanced efficiency.