Skill UI

Used for building, debugging, and extending MCP servers and clients. This skill implements robust connections between AI systems and external tools/data sources using structured protocols like JSON-RPC 2.0. Expertise includes defining tool schemas (Zod/Pydantic), configuring transport layers (HTTP/SSE/stdio), and scaffolding full-stack projects in TypeScript or Python.

This guide provides expert knowledge on interacting with Odoo's external JSON-RPC and XML-RPC APIs. Learn how to handle authentication, perform model calls, and execute CRUD operations (Create, Read, Update, Delete) using practical examples in Python, JavaScript, and cURL. Ideal for building middleware or robust data synchronization tools.

Generates a complete Power Platform MCP connector server tuned for Copilot Studio, covering swagger/api metadata, C# scripting, JSON-RPC handling, tool/resource wiring, and deployment-ready configurations with schema-safe inputs and streamable MCP HTTP endpoints.

Generates Power Platform custom connectors with MCP integration for Copilot Studio, covering schema generation, JSON-RPC scripts, validation, troubleshooting, OAuth hardening, and CLI guidance for paconn/pac workflows.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

Build with and use Pi, a minimal terminal coding harness. Covers install, provider and model config, TypeScript extensions, skills, packages, themes, SDK embedding, RPC and JSON event streams, session parsing, local llama.cpp models, custom providers, TUI components, and ecosystem packages like pi-subagents and pi-mcp-adapter.

Review Protocol Buffer and gRPC API changes to ensure wire and JSON compatibility. This skill covers safe schema evolution, identifying rollout hazards, and maintaining RPC contract quality. It is used when reviewing proto diffs, modifying messages and services, planning migrations, or diagnosing cross-version failures in distributed systems.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

Expert guidance on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, CRUD operations, and practical integration examples in Python, JavaScript, and curl. Includes best practices for security and performance.