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Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

Latest Most Popular

writing-plans Use after brainstorming/design phase to create detailed implementation plans. Creates step-by-step plans clear enough for execution by any developer.
Bbeierle12/Skill-MCP-Claude 7
gsap-router Router for GSAP animation domain. Use when implementing animations with GreenSock Animation Platform including tweens, timelines, scroll-based animations, or React integration. Routes to 4 specialized skills for fundamentals, sequencing, ScrollTrigger, and React patterns.
Bbeierle12/Skill-MCP-Claude 7
systematic-debugging Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Implements scientific method for debugging with root cause analysis.
Bbeierle12/Skill-MCP-Claude 7
shader-fundamentals GLSL shader fundamentals—vertex and fragment shaders, uniforms, varyings, attributes, coordinate systems, built-in variables, and data types. Use when writing custom shaders, understanding the graphics pipeline, or debugging shader code. The foundational skill for all shader work.
Bbeierle12/Skill-MCP-Claude 7
web-artifacts-builder Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Bbeierle12/Skill-MCP-Claude 7
universal-workflow-init Bootstraps new projects by running a 5-question intake and generating a minimal scaffold (WORKPLAN.md, BRIEF.md, OUTLINE.md, SOURCES.md, LOG.md) plus optional folders for writing/research/coding. Use when the user asks to start a new project, plan a workflow, scaffold folders/files, or set up a reusable pipeline.
laguna821/achmage_universal_workflow_initiator 4
food-diorama-skill Generate 3D historical gourmet diorama images for Chinese cities using Google Gemini API. Creates artistic miniature food worlds with four-quadrant layouts featuring iconic dishes, Pop Mart style figures, and cultural elements. Use when the user asks to create food diorama, 美食盲盒, gourmet blind box, city food scene, or mentions generating 3D food artwork for cities like 西安, 重庆, 成都, 北京, 广州.
lqshow/claude-skills 18
tech-manga-explainer 生成技术科普漫画，用对话形式解释复杂的技术概念。当用户请求「用漫画解释技术」「生成技术科普漫画」「把这个技术概念画成漫画」「漫画教程」「用漫画讲解 XXX」或类似需求时使用。适合 n8n、Kubernetes、AI、编程、架构等技术话题。通过 nanobanana + Gemini API 生成图片。
lqshow/claude-skills 18
design Frontend design curation skill for UI critique, motion storyboarding, and DialKit tuning. Use when the user asks for interface feedback, animation sequencing, or interactive design-control setup.
bout3fiddy/agents 34
planning Planning workflows for clarifying ambiguous build requests, running spec/work-package delivery, and managing Linear lifecycle transitions.
bout3fiddy/agents 34
coding Core engineering skill for implementation, bug fixes, refactors, and technical reviews with mandatory smell guardrails and targeted domain reference routing.
bout3fiddy/agents 34
housekeeping Repository housekeeping workflows for AGENTS/CLAUDE architecture, progressive disclosure, and migration of legacy monolithic instruction files.
bout3fiddy/agents 34
skill-creator Create, update, or install skills (including planning/specs and edits to skills/*) using our repo workflow (uv + skills-ref validation, lean SKILL.md, references/ for detail, and sync via bin/sync.sh).
bout3fiddy/agents 34
book-chapter-generator This skill generates a structured chapter outline for intelligent textbooks by analyzing course descriptions, learning graphs, and concept dependencies. Use this skill after the learning graph has been created and before generating chapter content, to design an optimal chapter structure that respects concept dependencies and distributes content evenly across all of the chapter in a book.
dmccreary/claude-skills 61
learning-graph-generator Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
dmccreary/claude-skills 61
readme-generator This skill creates or updates a README.md file in the GitHub home directory of the current project. The README.md file it generates will conform to GitHub best practices, including badges, project overview, site metrics, getting started instructions, and comprehensive documentation.
dmccreary/claude-skills 61
story-generator This skill generates graphic novel narratives about physicists and scientists for intelligent textbooks. It creates compelling, historically-accurate stories with image prompts designed for high school students. Use this skill when the user wants to add a new scientist story to the Physics History Graphic Novels section of an MkDocs Material textbook, or when creating educational graphic novel content about historical scientists.
dmccreary/claude-skills 61
microsim-utils Utility tools for MicroSim management including quality validation, screenshot capture, icon management, and index page generation. Routes to the appropriate utility based on the task needed.
dmccreary/claude-skills 61
quiz-generator This skill generates interactive multiple-choice quizzes for each chapter of an intelligent textbook, with questions aligned to specific concepts from the learning graph and distributed across Bloom's Taxonomy cognitive levels to assess student understanding effectively. Uses serial execution (one agent) for token efficiency. Use this skill after chapter content has been written and the learning graph exists.
dmccreary/claude-skills 61
course-description-analyzer This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.
dmccreary/claude-skills 61
microsim-generator Creates interactive educational MicroSims using the best-matched JavaScript library (p5.js, Chart.js, Plotly, Mermaid, vis-network, vis-timeline, Leaflet, Venn.js). Analyzes user requirements to route to the appropriate visualization type and generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, screen capture, and metadata.
dmccreary/claude-skills 61
moving-rainbow Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.
dmccreary/claude-skills 61
chapter-content-generator This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)
dmccreary/claude-skills 61
book-installer Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.
dmccreary/claude-skills 61