Skill UI

Automates Gender API workflows through Composio's toolkit using Rube MCP, guiding tool discovery, connection checks, schema compliance, and multi-tool execution while emphasizing calling RUBE_SEARCH_TOOLS first for current schemas.

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.

A comprehensive guide to implementing advanced LLM patterns using the Groq API. This workflow demonstrates how to handle chat completions, robust tool/function calling for integrating external services (like weather or search), and enforcing structured data output using JSON mode and strict schemas. Ideal for building real-time, production-grade AI features.

Automate Humanloop workflows through Composio’s Humanloop toolkit by calling Rube MCP endpoints; always discover tools first, verify the Humanloop connection, then execute schema-compliant arguments to trigger operations such as bulk runs or schema inspection.

Master the creation of autonomous AI agents using LangChain. This guide covers defining tools with schemas (Zod), utilizing `createToolCallingAgent` and `AgentExecutor` for multi-step decision-making, managing conversation memory, and implementing streaming output. Ideal for building complex, tool-augmented workflows.

This comprehensive guide walks developers through migrating complex LLM codebases from raw SDK calls (OpenAI, Anthropic) or legacy frameworks (LlamaIndex) to the structured LangChain framework. It covers code assessment, pattern-by-pattern migration, advanced agent construction, robust tool calling, and transforming custom RAG pipelines into scalable, standardized chains.

A comprehensive workflow for advanced AI applications using Mistral AI. This guide covers generating text and code embeddings (1024 dimensions), implementing semantic search via cosine similarity, and building robust RAG pipelines. It also demonstrates advanced tool augmentation using function calling, allowing LLMs to interact with external APIs and databases.

Automate Nocrm IO tasks by querying Composio’s Rube MCP toolkit, always retrieving live schemas before calling execute, managing connections, and reusing sessions for reliable workflows.

Implements standardized function/tool calling across various large language models (LLMs) via OpenRouter. This unified approach allows developers to build sophisticated, multi-step agents and complex workflows, regardless of the underlying provider (e.g., GPT-4o, Claude 3.5). It simplifies the process of achieving structured output and tool-augmented reasoning in production systems.

Use this tool to query, filter, and compare over 400 available AI models from OpenRouter. It allows users to check pricing, context lengths, model capabilities (e.g., tool calling), and select the best model based on specific needs, ensuring optimal performance and cost efficiency in AI development.

Guide for automating Parsera tasks through Composio’s Parsera toolkit by calling Rube MCP APIs in the prescribed order, ensuring you always discover tool schemas, verify connections, and execute workflows with schema-compliant arguments.

Automate SimilarWeb operations through Composio’s SimilarWeb toolkit by calling Rube MCP tool discovery, connection management, and execution endpoints so workflows always use the latest schemas and active connections.