Catalog
All AI skills
571 skills. Every one is readable here; downloads and live use need a subscription.
hig-components-menus
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
hig-inputs
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
hig-project-context
Create or update a shared Apple design context document that other HIG skills use to tailor guidance.
hig-technologies
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
high-end-visual-design
Use when designing expensive agency-grade interfaces with premium fonts, spatial rhythm, soft depth, and fluid microinteractions.
hosted-agents
Build background agents in sandboxed environments. Use for hosted coding agents, sandboxed VMs, Modal sandboxes, and remote coding environments.
hosted-agents-v2-py
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
hugging-face-community-evals
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate.
hugging-face-gradio
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
hugging-face-papers
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.
hugging-face-trackio
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI).
huggingface-best
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores.
huggingface-local-models
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
humanize-chinese
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to 去AI味, 降AIGC, 去除AI痕迹, 论文降重, 知网检测, 维普检测, humanize chinese, detect AI text, or make Chinese text sound more natural.
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
idea-refine
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one.
ilya-sutskever
Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consciência de IA, scaling laws, deep learning profundo, o episódio de novembro 2023 na OpenAI, superinteligência segura.
image-generator
Generate and edit images using Gemini's Nano Banana Pro model (gemini-3-pro-image-preview). Use this skill when the user asks you to generate images, create visuals, edit photos, create logos, generate product mockups, or perform any image generation/editing task.
incident-response-incident-response
Use when working with incident response incident response
incremental-implementation
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
industrial-brutalist-ui
Use when creating raw industrial or tactical telemetry UIs with rigid grids, stark typography, CRT effects, and high-density data.
iterate-pr
Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
jest-skill
Generates Jest unit and integration tests in JavaScript or TypeScript. Covers mocking, snapshots, async testing, and React component testing. Use when user mentions "Jest", "describe/it/expect", "jest.mock", "toMatchSnapshot".
json-canvas
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
junit-5-skill
Generates production-grade JUnit 5 unit and integration tests in Java. Covers assertions, parameterized tests, lifecycle hooks, mocking with Mockito, and nested tests. Use when user mentions "JUnit", "JUnit 5", "@Test", "assertEquals", "Assertions", "Java unit test".
kaizen
Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
keyword-extractor
Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.
lead-magnets
Plan and optimize lead magnets for email capture and lead generation. Use when designing gated content, checklists, templates, downloadable resources, or other offers that convert visitors into subscribers.
learn
Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.
linkedin-cli
Use when automating LinkedIn via CLI: fetch profiles, search people/companies, send messages, manage connections, create posts, and Sales Navigator.
liuguang-banlan-ui
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
llm-prompt-optimizer
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
lore
Markdown project memory for AI agents. Use for decisions, architecture, conventions, monorepo scopes, `.lore/`, or `lore` commands; not native `/init`/`/compact` or generic init/compress/audit/query.
macos-menubar-tuist-app
Build, refactor, or review SwiftUI macOS menubar apps that use Tuist.
makepad-animation
CRITICAL: Use for Makepad animation system. Triggers on: makepad animation, makepad animator, makepad hover, makepad state, makepad transition, "from: { all: Forward", makepad pressed, makepad 动画, makepad 状态, makepad 过渡, makepad 悬停效果
makepad-basics
CRITICAL: Use for Makepad getting started and app structure. Triggers on: makepad, makepad getting started, makepad tutorial, live_design!, app_main!, makepad project setup, makepad hello world, "how to create makepad app", makepad 入门, 创建 makepad 应用, makepad 教程, makepad 项目结构
makepad-deployment
CRITICAL: Use for Makepad packaging and deployment. Triggers on: deploy, package, APK, IPA, 打包, 部署, cargo-packager, cargo-makepad, WASM, Android, iOS, distribution, installer, .deb, .dmg, .nsis, GitHub Actions, CI, action, marketplace
makepad-dsl
CRITICAL: Use for Makepad DSL syntax and inheritance. Triggers on: makepad dsl, live_design, makepad inheritance, makepad prototype, "<Widget>", "Foo = { }", makepad object, makepad property, makepad DSL 语法, makepad 继承, makepad 原型, 如何定义 makepad 组件
makepad-event-action
CRITICAL: Use for Makepad event and action handling. Triggers on: makepad event, makepad action, Event enum, ActionTrait, handle_event, MouseDown, KeyDown, TouchUpdate, Hit, FingerDown, post_action, makepad 事件, makepad action, 事件处理
makepad-font
CRITICAL: Use for Makepad font and text rendering. Triggers on: makepad font, makepad text, makepad glyph, makepad typography, font atlas, text layout, font family, font size, text shaping, makepad 字体, makepad 文字, makepad 排版, makepad 字形
makepad-layout
CRITICAL: Use for Makepad layout system. Triggers on: makepad layout, makepad width, makepad height, makepad flex, makepad padding, makepad margin, makepad flow, makepad align, Fit, Fill, Size, Walk, "how to center in makepad", makepad 布局, makepad 宽度, makepad 对齐, makepad 居中
makepad-platform
CRITICAL: Use for Makepad cross-platform support. Triggers on: makepad platform, makepad os, makepad macos, makepad windows, makepad linux, makepad android, makepad ios, makepad web, makepad wasm, makepad metal, makepad d3d11, makepad opengl, makepad webgl, OsType, CxOs, makepad 跨平台, makepad 平台支持
makepad-shaders
CRITICAL: Use for Makepad shader system. Triggers on: makepad shader, makepad draw_bg, Sdf2d, makepad pixel, makepad glsl, makepad sdf, draw_quad, makepad gpu, makepad 着色器, makepad shader 语法, makepad 绘制
makepad-splash
CRITICAL: Use for Makepad Splash scripting language. Triggers on: splash language, makepad script, makepad scripting, script!, cx.eval, makepad dynamic, makepad AI, splash 语言, makepad 脚本
manifest
Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.
mathguard
Math-heavy escalation for n >= 10^6 — Bloom, HyperLogLog, Count-Min, MinHash/LSH, FFT, JL projection, sweep line. Use when classical O(n log n) is the floor and approximate or math wins.
mcp-builder-ms
Use this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
memory-systems
Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency across conversations, or implementing reasoning over accumulated knowledge.