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Cleans up and improves existing, already-tested code without changing behavior. Covers algorithmic optimization, abstraction extraction, dead code removal and readability, while keeping the full test suite green.

Statically audit MCP configuration files for mutable npm/npx package references before approval or in CI. Classifies version selectors, flags drift risk, recommends exact-version pinning, and produces bounded reports without ever executing discovered MCP servers.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.

Automates Miro boards, items, frames, connectors, and sharing via Composio’s Rube MCP toolkit, guiding users through setup, schema queries, pagination, and item resolution for reliable whiteboard workflows.

Analyzes AI disruption pressure across a business, maps competitive exposure across 10 vectors, and produces a prioritized 90-day defensive action plan for strategy and due diligence.

This skill specializes in secure mobile application development, focusing on input validation, WebView security, and mobile-specific security patterns. It covers secure data storage, authentication implementation, and platform-specific vulnerabilities for iOS and Android. Ideal for building security-first mobile apps that protect sensitive data and resist common attack vectors like injection attacks and man-in-the-middle threats.

This comprehensive guide covers advanced topics in modern JavaScript (ES6+), focusing on functional programming patterns and industry best practices. It is ideal for developers looking to refactor legacy code, optimize performance, manage asynchronous operations (Promises/async-await), and build highly maintainable, scalable web applications.

An expert agent designed to collect critical data assets—including metadata, data lineage, and query logs—from any data warehouse platform. It uses the push ingestion API to send this data directly to Monte Carlo. This method is essential for integrating data sources that cannot be reliably covered by standard pull collectors, such as custom lineage paths or historical query logs.

This skill acts as an anti-over-engineering guardrail, instructing AI coding agents to maintain strict scope control and minimalism. It guides the AI to only modify the files and lines explicitly requested by the user, avoiding unnecessary abstractions, unrequested refactors, or scope creep. Use it when you prefer the simplest, most direct solution and want to prevent the agent from 'grinding' the code base.

Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. Covers sub-node patterns, connection types, and best practices for production workflows.

This skill guides the creation of structured, importable JSON templates for the Obsidian Web Clipper. It facilitates the analysis of a target website's content structure, including DOM, Schema.org data, and CSS selectors. Users can map complex web elements into a robust template format, incorporating advanced logic like conditionals and loops, ensuring the resulting clipboard data is consistently formatted and ready for immediate use.