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Claude Skills by tools-only
github.com/tools-only19,166 skills18 installs6,168 views
- 437 Grok 17ee5312MemU supports **Grok**, the AI model from xAI, as a first-class LLM provider.Votes: 0GitHub stars: 9
- 437 Grok 9ae29dc9memU includes first-class support for [Grok](https://grok.x.ai/), allowing you to leverage xAI's powerful language models directly within your application.Votes: 0GitHub stars: 9
- 438 Guide Commands 96c019d8This guide documents all 34 commands available in the Developer Kit, organized by category with brief descriptions, usage, and practical examples. See individual command files for complete details. ---Votes: 0GitHub stars: 9
- 439 Gutenberg Blocks Ac5ce4b7---Votes: 0GitHub stars: 9
- 440 Hardware Backends Ae007727PyLabRobot uses a backend abstraction system that allows the same protocol code to run on different liquid handling robots and platforms. Backends handle device-specific communication while the `LiquidHandler` frontend provides a unified interface.Votes: 0GitHub stars: 9
- 441 Headertpl 9fe38384All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html), and is generated by [Changie](https://github.com/miniscruff/changie).Votes: 0GitHub stars: 9
- 442 Helm Charts A5725dd6``` mychart/ ├── Chart.yaml # Chart metadata ├── values.yaml # Default values ├── values.schema.json # Values validation schema ├── charts/ # Dependency charts ├── templates/ # Template files │ ├── NOTES.txt # Post-install notes │ ├── _helpers.tpl # Template helpers │ ├── deployment.yaml │ ├── service.yaml │ ├── ingress.yaml │ ├── configmap.yaml │ ├── secret.yaml │ ├── serviceaccount.yaml │ ├── hpa.yaml │Votes: 0GitHub stars: 9
- 443 Hipaa Compliance Framework 307b4ac3Complete guide to HIPAA requirements for medical device manufacturers and software developers. ---Votes: 0GitHub stars: 9
- 445 Hooks Filters 8aa512bb---Votes: 0GitHub stars: 9
- 447 Hooks Patterns 1b812584```tsx // useApi - Data fetching hook function useApi<T>(url: string) { const [data, setData] = useState<T | null>(null); const [error, setError] = useState<Error | null>(null); const [loading, setLoading] = useState(true);Votes: 0GitHub stars: 9
- 449 How It Works F8f8acceThis document provides assorted technical details about the repository structure, automated systems, and processes that power Awesome Claude Code. It's mostly superceded by [README-GENERATION](./README-GENERATION.md), but, for one reason or another, it's still here, for now. The submission system uses several labels to track issue state: - **`resource-submission`** - Applied automatically to issues created via the submission form - **`validation-passed`** - Applied when submission passes all ...Votes: 0GitHub stars: 9
- 452 Html Table A0c08eabThis skill generates interactive HTML table MicroSims with clickable cells that reveal detailed information in a sliding panel. Use this skill for matrix comparisons, framework analyses, or any tabular data where cells contain summary values but need expandable explanations. Creates a complete MicroSim package with separated HTML, CSS, JavaScript, and JSON data files.Votes: 0GitHub stars: 9
- 453 Http Transport 5ee7de2bThe Skill Seeker MCP server now supports both **stdio** (default) and **HTTP** transports, giving you flexibility in how you connect Claude Desktop or other MCP clients.Votes: 0GitHub stars: 9
- 454 Httpx Skill Grading 1efcff1c**Skill Analyzed:** `output/httpx/SKILL.md` (AI-enhanced, multi-source synthesis) **Graded Against:** AI Skill Standards & Best Practices (2026) **Analysis Date:** 2026-01-11 **Grading Framework:** 7-category weighted rubric (10-point scale) ---Votes: 0GitHub stars: 9
- 457 Ide Integration 1e599fd5Use Claude Code with Visual Studio Code and JetBrains IDEs.Votes: 0GitHub stars: 9
- 459 Image Processing A48cfd15This reference covers accessing raw pixel data, image rendering, and creating new images in OMERO.Votes: 0GitHub stars: 9
- 460 Imagemagick Editing 61f9e9f4Complete guide to format conversion, resizing, effects, transformations, and composition.Votes: 0GitHub stars: 9
- 462 Impl 340b4dd7The implementation of leveldb is similar in spirit to the representation of a single [Bigtable tablet (section 5.3)](https://research.google/pubs/pub27898/). However the organization of the files that make up the representation is somewhat different and is explained below.Votes: 0GitHub stars: 9
- 465 Implementing Serverside F997473aServer side renderers can be developed as separate python modules, and plugged into *UI Agent* backend using framework available in [UI Agent Core](../ai_apps_binding/pythonlib.md). It is based on [Stevedore Plugin framework](https://docs.openstack.org/stevedore/latest/index.html). Thanks to Stevedore and our comprehensively implemented base classes implementing your own renderer is very simple to start with. You just extend our classes, create the package, add it to Python environment during...Votes: 0GitHub stars: 9
- 466 Importing Exporting 25bc6d6eThis document details all file format support in matchms for loading and saving mass spectrometry data.Votes: 0GitHub stars: 9
- 468 Index 101d5b40An interactive dependency graph visualization showing all software components required to set up an intelligent textbook development environment using MkDocs Material and Claude Skills.Votes: 0GitHub stars: 9
- 468 Index 106c1a44This chapter explores how to create supplementary educational resources that enhance student learning and assess understanding. You'll learn the FAQ generation process, including how to identify common student questions and generate FAQs from course content. The chapter provides comprehensive coverage of quiz creation, including multiple-choice question design, quiz alignment with learning graph concepts, and Bloom's Taxonomy integration in assessments.Votes: 0GitHub stars: 9
- 468 Index 22bc54ffThis chapter introduces learning graphs, a powerful tool for mapping the knowledge structure of your course. You'll learn about concept nodes, dependency edges, and how they form a Directed Acyclic Graph (DAG) that represents prerequisite relationships. The chapter explains how concept dependencies create learning pathways that guide students through material in an optimal sequence.Votes: 0GitHub stars: 9
- 468 Index 2920f5bcA MicroSim of a ball bouncing within the drawing region with a control for changing the speed.Votes: 0GitHub stars: 9
- 468 Index 44b01098Interactive HTML/CSS/JavaScript visualization showing evolution of ai: from neural networks to claude codeVotes: 0GitHub stars: 9
- 468 Index 5dbba585This final chapter brings together all the tools and techniques needed to complete and deploy your intelligent textbook project. You'll learn to use Visual Studio Code effectively for content development, including working with the integrated terminal. The chapter covers Bash shell scripting, script execution permissions, and essential command-line operations including directory navigation, file creation and editing, and symlink creation for skill installation.Votes: 0GitHub stars: 9
- 468 Index 6512220cThe **MCP Gateway** (ContextForge) is a production-grade gateway, proxy, and registry for Model Context Protocol (MCP) servers and A2A Agents. It acts as a unified entry point for tools, resources, prompts, and servers, federating local and remote nodes into a coherent MCP-compliant interface.Votes: 0GitHub stars: 9
- 468 Index 73b59050This chapter provides an in-depth exploration of Claude Skills architecture and best practices for skill development. You'll learn about skill directory structure and how to organize supporting assets including Python scripts, template files, and reference documentation. The chapter covers skill testing and debugging techniques, error analysis, and strategies for improving skill quality over time.Votes: 0GitHub stars: 9
- 468 Index 7ff085e3Interactive timeline showing the 8 sequential stages of chapter content generationVotes: 0GitHub stars: 9
- 468 Index 81067d0dThis chapter teaches you how to enumerate concepts for your learning graph and map their dependencies. You'll learn the process of generating approximately 200 concepts from a course description, following specific requirements for concept labels including Title Case convention and maximum character length. The chapter emphasizes the importance of concept granularity and creating atomic concepts that represent single, clear ideas.Votes: 0GitHub stars: 9
- 468 Index 82c57dc1Interactive p5.js visualization of skill context window conceptVotes: 0GitHub stars: 9
- 468 Index 845227eeThis chapter provides the foundational knowledge needed to understand artificial intelligence, large language models, and Claude AI. You'll learn about the Claude Code interface and how to access it through an Anthropic Claude Pro account. The chapter introduces the concept of intelligent textbooks and explores the five levels of textbook intelligence, from static content through AI-powered personalization. You'll also begin learning about prompt engineering principles that will be essential thrVotes: 0GitHub stars: 9
- 468 Index 84b8a94e!!! success "Production Ready" The plugin framework is **production ready** with comprehensive hook coverage, robust error handling, and battle-tested implementations. Supports both native and external service plugins.Votes: 0GitHub stars: 9
- 468 Index 87750b6fInteractive Chart.js visualization showing average dependencies distribution bar chartVotes: 0GitHub stars: 9
- 468 Index 8c25e370This chapter introduces MicroSims, interactive educational simulations built with the p5.js JavaScript library that bring concepts to life through visualization and interactivity. You'll learn about the MicroSim directory structure, including main.html files for simulations and index.md files for documentation. The chapter covers iframe embedding techniques for integrating simulations into your textbook pages.Votes: 0GitHub stars: 9
- 468 Index 93612f5d*UI Agent* core works with abstract representation of the [`Data UI Block`](../data_ui_blocks/index.md). They can be rendered using pluggable GUI component system renderers, and integrated into the GUI of the *Controlling assistant*. Renderer can be Server-Side, so rendering into final component system markup happens in *UI Agent* backend, and its output is eg. `html` then, which can be directly used in the frontend. Server side renderes can be developed as a separate python modules, and plug...Votes: 0GitHub stars: 9
- 468 Index 9f527dfcA course on using Claude Skills to create intelligent textbooksVotes: 0GitHub stars: 9
- 468 Index A4efa1a1This chapter introduces the Claude Skills system, which is the foundation for automating intelligent textbook creation. You'll learn the structure of skill definition files, including YAML frontmatter, skill names, descriptions, licenses, and allowed tools. The chapter covers how to install skills, list available skills, and invoke them using slash commands. You'll also learn about Claude Commands and understand the important differences between skills and commands.Votes: 0GitHub stars: 9
- 468 Index Aa7246bbInteractive Mermaid visualization showing security zones diagramVotes: 0GitHub stars: 9
- 468 Index Aa75ed81An interactive color wheel displaying web-safe named colors. Hover over any color dot to see the color name, RGB values, and hex code.Votes: 0GitHub stars: 9
- 468 Index B281807bInteractive Chart.js visualization showing orphaned nodes identification chartVotes: 0GitHub stars: 9
- 468 Index B94157eaInteractive Mermaid visualization showing skill directory structureVotes: 0GitHub stars: 9
- 468 Index C16186a0Interactive Leaflet visualization showing major world citiesVotes: 0GitHub stars: 9
- 468 Index C88140efInteractive Mermaid visualization showing terminal workflow for textbook developmentVotes: 0GitHub stars: 9
- 468 Index Ca90c619Interactive p5.js visualization showing p5.js architecture and execution modelVotes: 0GitHub stars: 9
- 468 Index Ca975781Interactive p5.js visualization showing microsim file relationship diagramVotes: 0GitHub stars: 9
- 468 Index D9ef1b56<iframe src="main.html" width="100%" height="600px" scrolling="no" style="border: 2px solid #333; border-radius: 5px;"></iframe> **[Open Full Screen Version](main.html){ target="_blank" }**Votes: 0GitHub stars: 9
- 468 Index Dc3b1c8d<iframe src="main.html" width="100%" height="880px" scrolling="no"></iframe>Votes: 0GitHub stars: 9
- 468 Index E21ba027This chapter focuses on the educational foundations that underpin effective intelligent textbook creation. You'll learn how to develop comprehensive course descriptions that include target audience definitions, prerequisites, main topics, and explicitly excluded topics. The chapter provides in-depth coverage of Bloom's Taxonomy (2001 revision), exploring all six cognitive levels from Remember through Create.Votes: 0GitHub stars: 9
- 468 Index F8ad9e19Interactive Mermaid visualization showing chapter index file structureVotes: 0GitHub stars: 9