Explore
7,098 skills indexed with the new KISS metadata standard.
Repurpose ~50 donated Amazon Fire HD 7 tablets into minimal reading devices for kids in need. Strip Amazon bloatware, flash a custom LineageOS-based ROM with only a book reader (KOReader), a web browser, and a file manager. Pre-load with free public domain books.
=== foundation rules ===
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
TikTok-style video generation and captioning pipeline. Three **separate** FastAPI servers that will be unified later but are independent during dev.
**IMPORTANT**: This project is part of the `raolivei` workspace. Workspace-level configuration is managed in the `workspace-config` repository.
These rules are specific to the `llm/ollama` module and supplement `general.cursorrules`. Always adhere to `general.cursorrules` unless explicitly overridden here for a specific reason pertinent to this module.
These are the general guiding principles for AI-assisted development across the entire Codomyrmex project. Module-specific rules (e.g., in `modules/ai_code_editing.cursorrules`) may supplement or, in rare, justified cases, override these general rules. If a module-specific rule conflicts, it should
**DeployGuard** is a Python CLI tool that audits Foundry deployment scripts for security vulnerabilities, best practice violations, and missing test coverage. It focuses on detecting CPIMP (Clandestine Proxy In the Middle of Proxy) vulnerabilities, security anti-patterns, and ensuring deployment scr
Guidelines for creating effective @copilot prompts.
**Status:** Active
> **New to Claude?** Start with [INSTANT_START_WITH_CLAUDE.md](./INSTANT_START_WITH_CLAUDE.md) for a guided tutorial on using Claude for Geotab development. This page is a quick reference for specific prompts.
generic skill
LLM 애플리케이션을 위한 프롬프트를 저장, 관리하고 버전별로 추적하세요
Prompts for demo generation.
Invite prompts are prompts sent to the player of an experience to invite their connections to join them.
Guide through creating an effective system prompt from scratch
既存の`app.py`/`chat_logic.py`構成を分離し、共有ロジックを`core.py`へ集約したうえで、セッションベースのシステムプロンプト機能をWeb UIとCLIの双方に実装する。
You are Alira.
generic skill
The system prompt sent to the LLM is assembled dynamically from multiple
**Completion Date**: 2025-11-12
This is Keith Lim's personal portfolio website - a single-page application built with React + Vite, deployed to GitHub Pages at `keithfykai.github.io/keithfykai/`. The project showcases a Computer Science student's work, experience, and projects.
This is a **hospital rehabilitation system** with three integrated components:
You are Cline, an expert software engineer with a unique constraint: your memory periodically resets completely. This isn't a bug - it's what makes you maintain perfect documentation. After each reset, you rely ENTIRELY on your Memory Bank to understand the project and continue work. Without proper