explaining-code
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
447 skills found
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.
Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.
Architectural governance and project standards for React 19 SPA development, ensuring consistency in stack integration, project structure, and agent execution rules.
Manage Things 3 todos, projects, areas, and tags on macOS with this powerful CLI interface for your personal AI assistant.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Comprehensive Linux development environment management for compilers, build tools, IDEs, and debugging workflows.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.
Automate frontend API integration using Apidog and MCP servers. Generate TypeScript types, TanStack Query hooks, and axios-based clients from OpenAPI specifications for consistent, type-safe API consumption.