Discover Agent Skills for learning & documentation. Browse 86 skills for Claude, ChatGPT & Codex.
Implements DITA and topic-based authoring principles to create modular, reusable, and highly maintainable documentation sets.
Retrieves comprehensive API documentation and code examples for libraries and frameworks directly within the Claude Code environment.
Accesses and interprets the official HyperFleet architecture documentation to provide authoritative guidance on design patterns, versioning, and system principles.
Maintains a persistent record of architectural decisions, project patterns, and key learnings within specialized memory files.
Systematically documents and manages software architecture decisions, trade-offs, and technical rationale using the ADR pattern.
Analyzes research manuscripts and documentation to detect AI-generated patterns and ensure authentic academic writing.
Demonstrates the standardized directory structure for Claude Code skills to streamline the creation of custom AI capabilities.
Generates and maintains professional technical documentation, including READMEs, API references, and Architecture Decision Records.
Generates comprehensive architectural documentation and interactive wikis with direct source code traceability for any codebase.
Automates the creation of comprehensive, production-grade documentation for Treasure Data CDP Master Segment configurations through live schema analysis.
Generates comprehensive, production-ready documentation for golden layer data tables by analyzing SQL logic and workflow orchestration.
Performs deep codebase architecture analysis and generates structured, visual technical documentation using a mindmap-driven workflow.
Provides instant access to Hotvect's documentation and source code to answer technical questions about feature engineering and API usage.
Implements optimized backtracking patterns for complex search problems, including permutations, combinations, and puzzle-solving.
Provides expert guidance and implementation patterns for linked list data structures and algorithmic problem-solving.
Guides the creation, review, and optimization of specialized Claude Code skills through best practices, design patterns, and efficient resource management.
Implements optimized array manipulation patterns including sliding windows and two-pointer techniques for linear-time complexity.
Implements high-performance hash-based algorithms and data structures like LRU caches and frequency counters for efficient data lookup.
Guides the creation and optimization of custom Claude Code skills using standardized architectural patterns and best practices.
Consolidates redundant documentation and reduces documentation sprawl while preserving all essential technical information.
Generates publication-quality AI/ML benchmark reports with automated high-resolution diagrams and professional PDF exports.
Generates terminal-compatible ASCII diagrams to visualize system architecture, data flows, and migration plans directly within your codebase.
Streamlines the creation of standardized Architecture Decision Records (ADRs) to document significant design choices and rationales.
Generates structured, stage-based learning journeys and roadmaps based on domain-specific knowledge and principles.
Streamlines scientific document creation and reproducible research using Quarto and Julia with specialized GF(3) skill tracking.
Converts Markdown into professional-grade PDF documents using Pandoc and XeLaTeX with automated formatting and layout controls.
Streamlines multimedia application development for CV181X/CV182X/CV180X (SG200X) platforms using authoritative CVI MPI API references.
Analyzes your Claude Code interactions to provide data-driven feedback on coding patterns and personalized learning resources.
Transforms educational content and biographies into professional sequential comics with detailed panel layouts and automated image generation.
Drafts detailed implementation plans, API contracts, and system architecture blueprints to guide development after high-level decisions are finalized.
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