mcp-development
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
209 skills found
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
C programming language expert for memory management, systems programming, low-level optimization, and debugging best practices.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Validate n8n expression syntax, perform context-aware testing, detect common pitfalls, and optimize data transformations within your workflows.
Implement passwordless authentication in Go applications using MojoAuth OIDC Hosted Login Page.
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
A high-performance Liquid template engine that compiles templates into optimized Ruby and machine code via an intermediate language (IL).
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
A specialized skill for surgical code refactoring. Improves maintainability, reduces technical debt, and applies design patterns without altering external behavior.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.