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Defines how to automate Codeinterpreter tasks through Composio’s Rube MCP by first discovering current tool schemas, managing the Codeinterpreter connection, and executing schema-compliant tool calls while reusing sessions and honoring memory parameters.

A specialized skill for optimizing database performance and scalability across PostgreSQL and MySQL. It guides users through analyzing slow queries, interpreting execution plans (EXPLAIN ANALYZE), designing optimal indexing strategies, tuning configuration parameters, and resolving bottlenecks like lock contention. Essential for DevOps engineers, database administrators, and backend developers.

Guides using Rube MCP’s Composio toolkit to discover current Datagma tools, verify connections, and execute workflows while adhering to live schemas, session reuse, and required memory parameters.

Automatically activates when you mention feature engineering helper, offering guidance on data preparation, model training, hyperparameter tuning, and experiment tracking for ML projects.

This skill provides structured guidance and patterns for performing comprehensive web fuzzing using the powerful command-line tool, ffuf. Web fuzzing is an essential security testing technique used by penetration testers to discover hidden directories, unlinked endpoints, or sensitive files on a web server by systematically brute-forcing potential paths and parameters. Use this skill when you need to audit the security posture of a web application or map out unknown parts of a website.

Run targeted file path traversal assessments to find directory traversal and LFI vulnerabilities across web parameters, verify exploitation payloads, and document sensitive files exposed via automated fuzzing and manual checks.

This comprehensive guide details advanced techniques to significantly boost Firecrawl scraping speed and efficiency. Learn how to optimize performance by selecting the most efficient output formats (e.g., Markdown over HTML), implementing URL caching, utilizing batch scraping for multiple URLs, and tuning delay parameters for dynamic Single Page Applications (SPAs). Mastering these methods is crucial for building high-throughput, cost-effective web scraping pipelines.

This comprehensive guide serves as a quick reference for diagnosing and fixing common errors encountered when interacting with the Fireflies.ai GraphQL API. It covers specific error codes (e.g., authentication failure, rate limits, invalid parameters) and provides actionable fixes, diagnostic scripts, and schema introspection techniques, ensuring seamless API integration and rapid troubleshooting.

A comprehensive tool to manage deprecated fields and update query patterns for the Fireflies.ai GraphQL API. Use this skill when integrating with Fireflies and encountering breaking changes, such as updating single-value parameters to array formats or migrating deprecated fields.

This skill guides the development of robust, security-focused full-stack web applications. It ensures layered security coverage across the entire application stack, from database queries (parameterized queries) to API endpoints (authentication/authorization) and frontend components (input validation, output encoding). Use this when building end-to-end features, microservices, or REST APIs that require simultaneous attention to Frontend, Backend, and Security best practices.

Leverage the Gamma API to rapidly generate diverse, professional content formats, including interactive presentations, detailed documents, and modern webpages. This skill supports comprehensive parameter control, allowing users to define content, select specific themes, dictate image styles, control text density, and choose output formats (PDF, PPTX, etc.). Ideal for content creators who need to transform raw text prompts into polished, multi-media assets across various professional use cases.

This comprehensive guide details advanced strategies for optimizing interactions with the Gamma API. It covers critical best practices including implementing smart polling with adaptive backoff, caching static resources (themes, folders), executing parallel batch generations, and minimizing generation latency by tuning content parameters. Essential for developers building robust and high-performance Gamma integrations.