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.
429 skills found
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Search, locate, and retrieve academic papers across arXiv, PubMed, IEEE, Scopus, ACM, and Semantic Scholar.
Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.
Create and edit Obsidian Bases (.base files) with database-like views, complex filters, custom formulas, and data summaries.
Review Hyperlane documentation changes against project standards, ensuring compliance with architectural patterns and content guidelines.
Foundational Python library for static, animated, and interactive data visualization. Provides fine-grained control over plot elements for scientific, publication-ready figures.
Intelligent orchestration for dispatching tasks to specialized background agents with performance-based routing and execution tracking.
Interactive terminal canvas for rendering, editing, and selecting markdown text, emails, and project documentation in Claude Code.
Prefect CLI skill for executing mutation operations like triggering deployments, canceling flow runs, and managing automations within your Prefect infrastructure.
Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.
Expert guide for OpenCode AI: TUI commands, CLI operations, AGENTS.md configuration, custom agent workflows, and project setup.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.