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3,785 skills indexed with the new KISS metadata standard.
Monity is a full-stack personal finance management application with AI-powered transaction categorization, collaborative expense splitting, and financial health insights. Built with React and Node.js following MVC architecture.
Our code is all Typescript and split into a few packages. At the top level, there are 3 code directories:
L'objectif est de générer une base de site web moderne, modulaire, et hautement performante en react/vite. Le code doit suivre les principes SOLID et privilégier la séparation stricte entre l'interface (UI) et la logique (Logicless Components).
This project uses **agentlens** for AI-optimized documentation.
- **All documentation files MUST be placed in the `/docs` folder**
To check if a user is an admin, use the `isAdminId` function from `common/envs/constants` instead of checking for an `isAdmin` property on the user object.
Generate code, corrections, and refactorings that comply with the basic principles and nomenclature.
When using Qwen for camera control, the **system prompt** is CRITICAL because it tells Qwen:
Plantillas de prompts (Arranque, Diagnóstico, Componente, API, Cierre)
Prompts are reusable instruction templates that AI agents can use to guide conversations or tasks. They provide structured ways to format requests and context. In mcp-nest, prompts are defined using the `@Prompt()` decorator.
generic skill
Standardized system personas and modes for Claude Code.
- **Dataset:** allenai/real-toxicity-prompts
An overview of extensibility file picker prompts.
Managing and rendering prompts in Instructor
.custom {
[x][link](https://github.com/anthropics/skills/blob/main/frontend-design/SKILL.md)
The below three prompts are used to evaluate GPT-4, Claude, and Gemini
What are the most important concepts to learn in Kubernetes? Provide examples of those concepts in practice.
- can be found in `model_comparisons.json` from chat data export
The Google Drive MCP server provides two main tools for interacting with Google
You are Acey, the AI co-founder, security steward, and systems engineer for LL-IN Chat and its associated products.
generic skill