Documentation

This skill helps write scientific manuscripts following IMRAD structure with proper citations (APA/AMA/Vancouver), figures, tables, and reporting guidelines (CONSORT/STROBE/PRISMA). It includes extensive documentation for professional scientific writing and LaTeX templates for report formatting.

A comprehensive reference skill for QuTiP (Quantum Toolbox in Python), providing documentation for simulating open quantum systems, master equations, and quantum optics. Includes detailed guides for time evolution solvers, visualization tools, and advanced features like Floquet theory and HEOM methods.

This skill provides comprehensive documentation and templates for PyTorch Lightning, a framework that organizes PyTorch code for scalable deep learning. It includes ready-to-use templates for LightningModules and DataModules, Trainer configurations for various scenarios (single GPU, multi-GPU, FSDP, DeepSpeed), and detailed guides for callbacks, logging, distributed training, and best practices.

Pysam is a documentation skill for genomic data analysis using Python. It provides comprehensive reference guides for reading and writing sequencing alignment files (SAM/BAM/CRAM), genetic variant files (VCF/BCF), and sequence files (FASTA/FASTQ), along with practical code examples for bioinformatics workflows like coverage analysis and variant filtering.

A comprehensive reference skill for the Polars DataFrame library, providing documentation on data operations, pandas migration patterns, I/O operations, and performance best practices. Designed for users working with in-memory data processing tasks.

Histolab is a documentation skill for the histolab Python library used in digital pathology. It provides comprehensive guidance on processing whole slide images (WSI), including tissue detection, tile extraction strategies, preprocessing filters, and visualization techniques for preparing datasets for deep learning pipelines.

A comprehensive documentation skill for Dask, a Python library for parallel and distributed computing. It provides detailed reference guides for working with larger-than-memory datasets using DataFrames, Arrays, Bags, and Futures, along with scheduler selection and best practices for performance optimization.

This skill provides a complete workflow for creating Claude Code skills. It includes scripts to initialize new skill directories with proper templates, validate skill structure and metadata, and package skills into distributable zip files. The skill also contains comprehensive documentation on skill anatomy, progressive disclosure patterns, and best practices for writing effective skills.

Every Style Editor transforms Claude into a meticulous copy editor specializing in grammar, punctuation, and style guide compliance. It provides a systematic four-phase review process (Initial Assessment, Detailed Line Edit, Mechanical Review, and Recommendations) using Every's comprehensive style guide covering capitalization, punctuation, formatting, and word usage conventions.

A comprehensive Ruby on Rails style guide based on DHH and 37signals conventions. It provides detailed patterns for controllers, models, frontend (Turbo/Stimulus), architecture, testing (Minitest/fixtures), and gem selection following the 'vanilla Rails is plenty' philosophy.

This skill provides expert guidance for creating, writing, and refining Claude Code Skills. It includes comprehensive documentation on skill structure, XML patterns, workflows, and best practices, along with templates for common skill types and workflows for auditing and verifying existing skills.

This skill automatically captures solved problems as structured documentation immediately after confirmation. It validates metadata against a YAML schema, organizes solutions by problem type (build errors, performance issues, etc.), and builds a searchable knowledge base with cross-references between related issues.

This skill helps maintain and improve CLAUDE.md files in your repositories. It audits existing files against quality criteria, provides detailed scoring reports, and suggests targeted improvements to ensure Claude Code has optimal project context for future sessions.

This skill guides users through creating a comprehensive product marketing context document. It can auto-draft content by analyzing the codebase or walk through sections conversationally, capturing information about target audience, competitive landscape, differentiation, customer language, and brand voice that other marketing skills can reference.

Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work instructions, (4) preparing Medical Device Files, (5) understanding ISO 13485 requirements, or (6) identifying missing documentation for medical device certification. Also use when users mention medical device regulations, QMS certification, FDA QMSR, EU MDR, or need help with quality system documentation.

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

Comprehensive toolkit for developing Claude Code plugins with 7 specialized skills covering hooks, MCP integration, plugin structure, settings, commands, agents, and skill development. Includes validation utilities, working examples, and detailed documentation following progressive disclosure principles.

This plugin adds educational insights to your Claude Code sessions, explaining implementation choices and codebase patterns as you work. It recreates the deprecated Explanatory output style using a SessionStart hook.

This skill provides installation instructions for the Lua Language Server (lua-language-server), which enables code intelligence, diagnostics, and language server features for .lua files in Claude Code. Users must install the language server binary separately via Homebrew, snap, pacman, or manual download.

Swift Lsp is a documentation skill that provides setup instructions for using SourceKit-LSP with Claude Code. It guides users on installing the Swift toolchain (via Xcode on macOS or from swift.org on Linux) to enable Swift code intelligence for .swift files.

A documentation skill that provides installation instructions for the Intelephense PHP language server. It enables PHP code intelligence and diagnostics in Claude Code through the globally installed Intelephense package.

A reference skill that provides installation instructions and documentation for the clangd Language Server Protocol, which enables code intelligence, diagnostics, and formatting for C/C++ projects in Claude Code.

A comprehensive educational skill that teaches developers how to structure Claude Code plugins. It covers directory layout conventions, plugin.json manifest configuration, component organization (commands, agents, skills, hooks), the ${CLAUDE_PLUGIN_ROOT} portable path variable, and best practices with examples ranging from minimal to enterprise-grade plugins.

This skill provides complete guidance for integrating MCP (Model Context Protocol) servers into Claude Code plugins. It covers all four server types (stdio, SSE, HTTP, WebSocket), authentication patterns (OAuth, tokens, environment variables), tool naming conventions, and security best practices for connecting plugins to external services.

This skill teaches developers how to create autonomous agents for Claude Code plugins. It provides comprehensive documentation on agent file structure, YAML frontmatter fields, system prompt design patterns, and triggering conditions with concrete examples. Includes a bash validation script to check agent files for correct structure.

This skill provides comprehensive guidance on creating Claude Code slash commands, including YAML frontmatter configuration, dynamic arguments ($1, $2, $ARGUMENTS), file references with @ syntax, bash execution, and plugin-specific features like ${CLAUDE_PLUGIN_ROOT}. It covers interactive commands using AskUserQuestion, multi-step workflows, testing strategies, and marketplace distribution considerations.

Wycheproof is a documentation skill that teaches developers how to validate cryptographic implementations using test vectors. It covers testing workflows for AES-GCM, ECDSA, ECDH, RSA, and other algorithms, with examples in Python and JavaScript.

A comprehensive reference guide for libFuzzer, the LLVM-integrated coverage-guided fuzzer for C/C++ projects. Covers harness writing, compilation, corpus management, sanitizer integration, and running fuzzing campaigns with practical examples and troubleshooting tips.

This skill provides comprehensive documentation on AddressSanitizer (ASan), a memory error detection tool used during software testing and fuzzing. It covers compilation flags, configuration options, integration with popular fuzzing tools (libFuzzer, AFL++, cargo-fuzz, honggfuzz), and troubleshooting guidance.

Guides blockchain auditors through verifying that smart contract code implements exactly what specification documents describe. Uses a 6-phase methodology with intermediate representations to systematically compare whitepapers and design docs against actual code implementation, identifying gaps, mismatches, and undocumented behavior.