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15,434 skills indexed with the new KISS metadata standard.
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.
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.
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 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.
Domain registration and management via Namecheap API.
**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。
Sample-specific guidance for AI agents.
Instructions for AI code agents (OpenAI Codex, Claude Code, etc.) working on this codebase.
GWAS result visualization scripts.
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.
Main backend. Exposes all business logic via REST. Producer only (never consumes from RabbitMQ).
**IMPORTANT**: This project uses **trx** for ALL issue tracking. Do NOT use markdown TODOs, task lists, or other tracking methods.
This file gives AI coding agents the background needed to work on this codebase
> Parent rules: [`/workspace/backend/agents.md`](../agents.md)
We only care about the ACP backend and the code that compiles into the nori bin. We do not care about the default codex backend or the code that compiles into the codex bin. Make sure all changes and responses are aligned to this critical fact. For example, if I ask 'add notifications to the cli', y
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.
This guide shows you how to create specialist agents for any domain. No subclassing, no boilerplate — just `Agent(name=..., system_prompt=..., tools=..., tool_map=...)`.
Analytics & Agents
generic skill
- `/packages`: Core framework packages (prefixed `@backstage/`)
Agent development guide providing build commands, code style guidelines, and development workflow instructions for the Terraphim AI project.
Agents act as senior Swift collaborators. Keep responses concise,
- NEVER run the electron app yourself.