Explore
12,813 skills indexed with the new KISS metadata standard.
Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities. Use when users ask to create synthetic data, generate datasets, create fake/mock data, generate test data, training data, or any data generation task. Supports CSV, JSON, JSONL, Parquet output. Adapted from NVIDIA NeMo DataDesigner (Apache 2.0).
2. 算法 链表翻转 异或取数组中的不同数
When working with JSON data in LLM prompts (especially large arrays or tabular data), consider the token-efficient TOON (Token-Oriented Object Notation) format which reduces tokens by 30-70% while maintaining lossless JSON representation and structural validation. Use for reading/writing .toon files, converting JSON↔TOON, or optimizing structured data for LLM consumption with guardrails like [N] counts and {field} headers.
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.
Interface with Zotero's MCP server to search and retrieve bibliographic data using advanced semantic search and multi-strategy approaches. Designed for output as a plain markdown formatted outline, suitable for pasting into Logseq. Also offers side-by-side translation of Chinese titles and abstracts for improved English language search within Logseq. Context-aware - uses agents in Claude Code, batched searches in Claude Desktop.
Domain registration and management via Namecheap API.
Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.
**Skills.sh** 是由 Vercel 开发的开放式 AI Agent 技能生态系统平台，旨在为各种 AI 代理提供可复用的能力增强模块。
Instructions for AI code agents (OpenAI Codex, Claude Code, etc.) working on this codebase.
This document provides guidelines for AI coding agents working in the JSON Visualization codebase.
Système d'audit et de journalisation des événements utilisateur et système pour traçabilité complète des actions.
Use agent skills available and helpful for the task at hand. When working on the platform app, use react router framework mode best practices
**IMPORTANT**: This project uses **trx** for ALL issue tracking. Do NOT use markdown TODOs, task lists, or other tracking methods.
generic skill
Agent development guide providing build commands, code style guidelines, and development workflow instructions for the Terraphim AI project.
==========
- `/packages`: Core framework packages (prefixed `@backstage/`)
This document defines baseline expectations for all contributors to maintain code quality, test coverage, and project stability.
- Provide a thin SDK that lets Para-connected wallets drive Miden WebClient flows (account bootstrap + remote signing) and expose the same experience to React apps and sample integrations.
This file provides guidance for AI agents working with code in this repository.
This repository provides AgentSkills for following a Problem-Based Software Requirements Specification (SRS) methodology. The focus is on enabling AI-assisted requirements engineering through structured, problem-first approaches.
- TUIs at a glance:
Kirby MCP is a CLI-first MCP server for Kirby CMS (composer-based Kirby projects). This repo contains the PHP library, the
This file contains guidelines for agentic coding agents working on the Dione Electron application.