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23,726 skills indexed with the new KISS metadata standard.
Witsy is a cross-platform Electron-based desktop AI assistant that serves as a universal MCP (Model Context Protocol) client. Built with Electron, TypeScript, Vue 3, and Vite, it integrates multiple LLM providers and supports features like chat completion, image generation, speech-to-text, text-to-s
Maven build configuration for the crypto-scout multi-module Java 25 project
不安全代码与 FFI 专家。处理 unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, MaybeUninit, NonNull, SAFETY comment, soundness, undefined behavior, UB, 安全抽象, 裸指针, 外部函数接口, 内存布局, 未定义行为
AI image generation using Nano Banana PRO (Gemini 3 Pro Image) and Nano Banana (Gemini 2.5 Flash Image). Use this skill when: (1) Generating images from text prompts, (2) Editing existing images, (3) Creating professional visual assets like infographics, logos, product shots, stickers, (4) Working with character consistency across multiple images, (5) Creating images with accurate text rendering, (6) Any task requiring AI-generated visuals. Triggers on: 'generate image', 'create image', 'make a picture', 'design a logo', 'create infographic', 'AI image', 'nano banana', or any image generation request.
Audit and refactor CSS to comply with Game Loopers design system and BEM methodology
พัฒนา Frontend ด้วย Angular, React, Vue, Next.js อย่างมืออาชีพ
Generate Xiaohongshu (小红书) style cover images based on user topics. Use when the user wants to create a social media cover image in Xiaohongshu style, or mentions keywords like "小红书封面", "Xiaohongshu cover", "封面生成", or provides a topic for cover image generation. The generated image will be saved to the current project directory.
Use this skill when the user needs to analyze, clean, or prepare datasets. Helps with listing columns, detecting data types (text, categorical, ordinal, numeric), identifying data quality issues, and cleaning values that don't fit expected patterns. Invoke when users mention data cleaning, data quality, column analysis, type detection, or preparing datasets.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
Calculate monthly COGS, cost percentages, and manager bonuses (COGS + Top Line) using NET SALES for accuracy and detailed inventory data for restaurant locations.
Use this skill when the user needs to analyze, clean, or prepare datasets. Helps with listing columns, detecting data types (text, categorical, ordinal, numeric), identifying data quality issues, and cleaning values that don't fit expected patterns. Invoke when users mention data cleaning, data quality, column analysis, type detection, or preparing datasets.
This skill provides context and best practices for developing Votebox, a cloud-native SaaS platform for democratic music voting in venues.
- Be concise, sacrificing grammar for brevity.
Don't check for null with `if (!someVar)`. Check for null with `if (someVar === null)`.
This file provides guidance to Coding Agents when working with code in this repository.
This repository uses `ruff` for linting and formatting. Run lint checks with:
generic skill
generic skill
[Skills Index]|root: ./.claude/skills|IMPORTANT: Read full SKILL.md before using any skill. This index is for routing only.|backend-dev-guidelines:{name:backend-dev-guidelines,desc:Comprehensive backend development guide for Node.js/Express/TypeScript microservices.,files:{resources:{architecture-ov
This document helps AI agents work effectively in this codebase.
Guide for AI agents working in this repository.
Macrograph is a visual programming platform with node-based graph interfaces. Supports both desktop (single-project) and server (multi-project) environments with real-time event processing and type-safe ID management.
This document provides guidelines for AI agents working on this codebase.