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12,814 skills indexed with the new KISS metadata standard.
Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements with component library equivalents, (3) converting primitive Tailwind colors to semantic DaisyUI colors, (4) extracting repeated styling patterns into components.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
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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.
2. 算法 链表翻转 异或取数组中的不同数
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.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
GWAS result visualization scripts.
Prefer retrieval-led reasoning over pre-training-led reasoning.
This document provides guidelines for AI coding agents working in the JSON Visualization codebase.
generic skill
Main backend. Exposes all business logic via REST. Producer only (never consumes from RabbitMQ).
Parallel agent orchestration using git worktrees for isolated branch work. Use when spawning multiple agents to work on separate Linear issues simultaneously. Prevents branch conflicts, dirty tree cross-contamination, and commit pollution.
- **Do** match the interpreter requirement declared in `pyproject.toml` (Python ≥ 3.12) and install `requirements.txt` plus `requirements-dev.txt` before running tools.
Agent development guide providing build commands, code style guidelines, and development workflow instructions for the Terraphim AI project.
The `AgentCtrl` facade provides a unified interface for invoking CLI-based code agents that can execute code, modify files, and perform complex tasks.
In this lab, you are going to understand how to create agents in Microsoft Copilot Studio that can communicate with other agents. You'll build a specialized Interview Scheduler agent that consumes data from the HR Candidate Management agent created in previous labs. The Interview Scheduler agent wil
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
This guide provides a comprehensive overview of the Remix Component API, its runtime behavior, and practical use cases for building interactive UIs.
generic skill
- `src/main.rs` hosts the Axum web server, request handlers, and in-module tests.
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.