Skill UI

This skill functions as a dedicated dependency security expert, specializing in auditing project dependencies. It analyzes codebases for known security vulnerabilities, license compliance issues, outdated packages, and overall supply chain risks. It provides comprehensive, actionable remediation strategies and detailed risk reports to keep software supply chains secure and compliant.

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.

Provides deep expertise in analyzing DWARF v3-v5 debug files, verifying their integrity through llvm-dwarfdump, and helping parse or write code that interacts with DWARF data for more reliable debugging toolchains.

This skill provides robust, production-grade patterns for building fault-tolerant search service integrations, specifically targeting Exa. It covers implementing query fallback chains, circuit breakers to prevent cascading failures, exponential backoff for retries, and graceful degradation levels. Use this when designing mission-critical search features that must remain available and functional even if underlying services fail, rate limit, or suffer performance degradation.

Use the Rube MCP endpoints to orchestrate Exist workflows: discover current tool schemas, validate connections, and execute multi-step tool chains while tracking sessions and memory state for reliable automation.

This skill provides guidance and patterns for generating structured JSON files that define complex workflow pipelines. It is essential for chaining multiple distinct AI models together, enabling multi-step, automated data processing. Use this when a single task requires a sequence of interconnected AI operations or services.

Automates Fidel API workflows through Composio’s toolkit via Rube MCP, emphasizing schema discovery, managed connections, and multi-tool execution with reusable sessions for reliable operational chains.

LangChain accelerates building LLM-powered agents, RAG pipelines, and chatbots by orchestrating models, chains, tools, memory, and vector stores across major providers for rapid prototyping or production deployment.

Master the art of building robust, production-grade LLM chains using LangChain Expression Language (LCEL). This guide covers advanced composition patterns, including sequential, parallel, and conditional branching chains. It also details prompt templating, structured output parsing (JSON/Zod), and context injection, enabling the creation of complex, multi-step AI pipelines.

This skill provides a comprehensive guide for deploying LangChain chains and agents into production-grade APIs. It supports multiple development stacks, including Python (LangServe/FastAPI) and Node.js (Express). Topics covered include containerization using Docker, setting up robust health checks, and deploying to major cloud platforms like Google Cloud Run and AWS Lambda. Learn how to build scalable, observable, and enterprise-grade API endpoints for advanced LLM applications.

A comprehensive guide on implementing failover and fallback mechanisms for Large Language Models (LLMs) when using OpenRouter. This skill covers native model fallbacks, provider routing strategies, and advanced client-side fallback chains. Use this pattern when building mission-critical or highly resilient systems that must maintain service availability even if a primary model or an entire provider goes offline. It ensures robust API integration and graceful degradation.

A comprehensive utility designed to monitor, analyze, and predict blockchain gas costs across multiple major chains (e.g., Ethereum, Polygon, Arbitrum). It fetches real-time pricing, estimates transaction costs in both ETH and USD, and identifies the optimal time windows for executing DeFi or NFT transactions, ensuring maximum cost efficiency.