Skill UI

A comprehensive guide for treating project context as a managed, first-class artifact alongside code. It establishes systematic documentation (e.g., product vision, tech stack, workflow) to ensure consistent requirements, maintain team alignment, and optimize AI interactions throughout the entire development lifecycle. Essential for greenfield and brownfield projects.

This skill automatically fetches the latest official documentation for programming libraries and frameworks (such as React, Next.js, or Prisma) via the Context7 API. It is essential for developers who require accurate, up-to-date technical reference material to ensure their code adheres to the most current best practices.

This advanced system transforms session interactions into reusable, atomic knowledge units called "Instincts." By hooking into tool usage and session activity, it observes patterns (like preferred coding styles, error fixes, or repeated workflows). These instincts are then clustered and "evolved" into structured Skills, Commands, or specialized Agents, capturing deep contextual knowledge with weighted confidence scoring to enhance development productivity.

Automates contributing guide creation in technical documentation; triggers on explicit requests, follows best practices, offers step-by-step help, generates code/config samples, and validates outputs for API docs, user guides, and architecture docs.

Automates Conversion Tools workflows by orchestrating Composio’s toolkit through Rube MCP, guiding users to discover current schemas, verify connections, and execute schema-compliant tool calls with memory/session handling.

Guides using Rube MCP via Composio to discover Convertapi tool schemas, manage toolkit connections, and execute safe multi-step conversions without hardcoded slugs.

Guidelines for building Convex backends with TypeScript, detailing syntax, validators, schema design, queries, mutations, actions, scheduling, and file storage so you can implement Convex database operations, real-time updates, and cron jobs consistently.

Automate Conveyor tasks through Composio's Rube MCP pipeline by discovering current tool schemas first, ensuring active connections, and executing schema-compliant workflows for reliable operations.

Provides targeted guidance for improving LCP, INP, and CLS to boost page experience and search rankings, with checklists, issue breakdowns, and actionable fixes for rendering and interaction bottlenecks.

Scans Cosmos SDK chains and CosmWasm contracts for nine consensus-critical vulnerabilities such as non-determinism, incorrect GetSigners, and ABCI panics, returning findings and fix guidance when auditing or preparing new launches.

A comprehensive pattern for building robust and cost-efficient LLM application pipelines. This guide details combining model routing based on task complexity, immutable cost tracking, limited retry logic, and prompt caching to manage API expenditures while maintaining high quality. Essential for production systems handling variable-complexity, high-volume tasks.

Automates Countdown API workflows through Composio’s Countdown toolkit using Rube MCP, emphasizing tool discovery, connection checks, and schema-compliant execution for reliable integration.