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.
385 skills found
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Generate production-ready Stigmer McpServer YAML configurations for integrating external tools into your AI agents.
Migrate existing OpenAI Apps SDK applications to the MCP Apps SDK, including step-by-step guidance, API mapping tables, and CSP investigation workflows.
Advanced multi-language debugging support with stack trace analysis, runtime error triage, and automated diagnostic tools for containerized and distributed systems.
A highly customized personal garden based on Quartz v4, featuring enhanced Markdown parsing, telescopic text, TikZ/pseudocode rendering, and Obsidian integration.
Build professional, accessible, and responsive user interfaces using React, Next.js, and modern design systems like shadcn/ui. Focuses on developer tools, chat interfaces, and real-time streaming components.
A multi-paradigm ETL pipeline agent supporting batch and streaming data processing, schema inference, and configurable DAG-based transformations for heterogeneous data sources.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
FHIR API development guide for building compliant healthcare endpoints. Includes resource validation, coding systems, and standard error handling.
An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.
CLI tool to bundle repository context, files, and prompts into a one-shot request for advanced AI debugging, refactoring, and code review.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.