call-mcp-tool
Execute tools on MCP (Model Context Protocol) servers to extend AI agent capabilities with external services and specialized functions.
Explore AI agent skills related to system prompt. Browse installable Claude Code and automation skills on Mentalok Skills Hub.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
40 skills found
Execute tools on MCP (Model Context Protocol) servers to extend AI agent capabilities with external services and specialized functions.
A specialized pipeline for fine-tuning LLMs on literary works, covering ePub extraction, semantic text segmentation, synthetic instruction generation, and LoRA training for style transfer.
AWS Bedrock skill for generative AI development. Provides patterns for model invocation, embeddings, RAG implementation, and model access management.
Integrate Claude AI into your applications with the Anthropic SDK. Supports Messages API, streaming, tool use (function calling), vision, extended thinking, and system prompts.
Patterns and reference implementation for integrating the Claude API into applications, including chat, streaming, tool use, and structured JSON output.
Build autonomous, multi-step AI agents using Pydantic AI (Python) and Claude Agent SDK (Node.js/TypeScript).
Guidance for designing autonomous agents for Claude Code, covering system prompts, triggering conditions, frontmatter configuration, and agent development best practices.
Control Claude Code via MCP protocol for autonomous development. Features persistent sessions, agent teams, precise execution planning, and advanced tool management for complex coding tasks.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.
Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.
Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.