Skill UI

A specialized skill for optimizing LLM applications handling long conversations and large datasets. This guide teaches advanced context engineering techniques, addressing issues like context rot, token limits, and the lost-in-the-middle problem. Capabilities include intelligent summarization, context trimming, information prioritization, and strategic context routing to ensure critical information is retained and utilized effectively throughout the dialogue.

Contract Test Creator automatically assists with designing and implementing contract tests, guiding on best practices, producing production-ready code and configurations, and validating results whenever the user invokes contract test creator tasks.

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.

Orchestrates Control D operations via Composio’s Rube MCP, requiring tool discovery, active connections, and schema-compliant calls before executing workflows.

A comprehensive framework for building persistent memory systems within Large Language Models (LLMs). It supports multi-faceted memory management, including short-term context storage, long-term knowledge retrieval, and entity-based fact updates. This skill is crucial for developing sophisticated AI assistants that maintain coherence, recall user history over extended periods, and provide context-aware interactions by managing memory consolidation and retrieval relevance.

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.

Guides automating Convolo AI via Composio’s Rube MCP, covering tool discovery, connection validation, schema-compliant multi-tool execution, session reuse, and pagination handling for reliable workflows.

Automated guidance for cookie security analysts that covers authentication, validation, secure coding, and vulnerability detection while generating production-ready code and configurations.

Details how to research context, structure homepage or landing copy, and follow clarity/benefit-driven rules so every headline, CTA, and section pushes visitors toward a single conversion.