Discover Agent Skills for learning & documentation. Browse 86 skills for Claude, ChatGPT & Codex.
Converts arXiv academic papers into structured, math-preserving Markdown documentation for technical implementation.
Evaluates and audits the quality of TLDR summaries against standardized rubrics to track and improve AI-generated documentation.
Automates the validation of document template-instance synchronization to ensure technical documentation remains consistent, accurate, and free of placeholders.
Explores and analyzes unfamiliar codebases to map structures, trace dependencies, and explain implementation details.
Provides a comprehensive reference for 33+ essential JavaScript concepts, from core fundamentals to advanced architectural patterns.
Automates the creation of peer-review-ready scientific manuscripts and research papers with integrated literature citations and technical schematics.
Architects and organizes comprehensive documentation structures for software projects ranging from simple libraries to complex monorepos.
Generates comprehensive code documentation, API specifications, and architecture diagrams to ensure long-term project maintainability and clarity.
Generates comprehensive, multi-file documentation for existing codebases including architecture diagrams and development guidelines.
Provides a comprehensive Chinese-language guide for mastering Claude Code features, including REPL, MCP integration, and advanced development workflows.
Provides a standardized framework for developing and documenting new specialized capabilities within agentic AI environments.
Integrates Google NotebookLM with Claude Code to provide source-grounded, citation-backed answers directly from your private documentation.
Conducts systematic technical research and generates comprehensive reports for scalable, secure, and maintainable software solutions.
Performs comprehensive, tiered code research across local repositories, terminal utilities, and external web sources.
Transforms session learnings, corrections, and newly identified patterns into permanent organizational knowledge by automatically updating Reusable Intelligence Infrastructure (RII) components.
Provides a comprehensive guide to Wasp framework features, commands, and skills to streamline full-stack SaaS development.
Accesses authoritative, real-time documentation for Claude Code CLI features, plugins, and system integrations.
Demonstrates the Skills-as-Containers architecture for building modular, task-specific capabilities with natural language routing.
Provides comprehensive code examples and implementation patterns for building advanced applications with the Claude API.
Automates the gathering of external sources and synthesis of research notes for developing new specialized skills.
Generates framework documentation, feature specifications, and architectural decisions directly from existing codebases.
Guides users through a professional three-stage workflow to collaboratively create high-quality technical documentation, proposals, and specifications.
Generates comprehensive, publication-quality technical manuals infused with thematic storytelling and memorable metaphors using a multi-agent orchestration workflow.
Applies Test-Driven Development principles to the creation and refinement of process documentation to ensure reliable AI compliance.
Generates comprehensive, user-centric product documentation including tutorials, onboarding guides, and troubleshooting manuals.
Generates self-evolving technical documentation and knowledge bases for complex systems using cognitive synthesis and automated technical writing.
Provides a standardized template and boilerplate for building new Claude Code Skills to ensure consistent documentation and implementation patterns.
Automates the creation of Architecture Decision Records (ADR) with standardized impact analysis and full traceability.
Automates the integration of accumulated development insights, bug fixes, and best practices into plugin documentation.
Generates interactive technical quizzes and knowledge checks to reinforce learning through research-backed question sets and performance tracking.
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