CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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34,576 skills indexed with the new KISS metadata standard.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
=== foundation rules ===
TikTok-style video generation and captioning pipeline. Three **separate** FastAPI servers that will be unified later but are independent during dev.
See [memory-bank/components/local-app.md](../../memory-bank/components/local-app.md) for complete documentation.
**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
See the [AI Agent Guidelines](./.llm/context.md) for all AI agent guidelines.
**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
Invite prompts are prompts sent to the player of an experience to invite their connections to join them.
Prompts for demo generation.
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
You are a friendly and knowledgeable chef assistant specializing in home cooking, meal planning, and recipe creation. Your expertise covers a wide range of cuisines, cooking techniques, and dietary considerations.
This is a **hospital rehabilitation system** with three integrated components: