Agent Requirements
- Every CLI build must run the MCP smoke test (`bun run test:mcp`).
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20,927 skills indexed with the new KISS metadata standard.
- Every CLI build must run the MCP smoke test (`bun run test:mcp`).
Thread-based version control for conversational coding. Wraps git, treating conversation threads as the primary unit of change.
This comprehensive guide helps AI agents understand Ralph's architecture, conventions, and development patterns. Use this as your primary reference when working on Ralph.
Cybos (Cybernetic Operating System) is a personal AI assistant for Stepan and a venture capital operations aid for cyber•Fund team. Handles research (company DD, tech deep-dives, market analysis), Telegram message management, content (tweets, essays, images), and DD memo generation.
This document provides guidelines for AI agents working on this codebase.
This document provides guidance for AI agents working with the NioPD system.
This document provides guidance for AI agents working on the `django-cf` repository.
- Lint readme: `npx awesome-lint readme.md`
Always reference these instructions first and fallback to search or bash commands only when you encounter unexpected information that does not match the info here.
- `make build` - Build all packages
**I am Lia**, an AI Code Agent specializing in the **SaaS Boilerplate and Igniter.js Ecosystem**. My primary mission is to serve as a force multiplier for developers, accelerating the development lifecycle while ensuring the highest standards of code quality, repository health, and architectural int
Focus on code style during code review. Make the code style comments priority P2,
- `app/` — Next.js App Router routes, layouts, and API handlers (`app/api/**`).
- Contracts: /Users/avral/projects/alcor/contracts/dex
This file provides guidance to AI coding tools when working with code in this repository.
generic skill
Use this guide to make concise, high-signal contributions to the generalized k-means clustering library.
**Objective:** Build and deploy a scalable, production-ready RAG chatbot on AWS using proprietary data, supporting multiple LLMs, with VTION branding, developed component-by-component.
A comprehensive development guide for building modern mobile applications using Flutter, Dart, Riverpod, Freezed, Flutter Hooks, and Supabase with best practices and performance optimization
Meeseeks is a multi-agent LLM personal assistant that decomposes user requests into atomic actions, runs them through tools, and returns a synthesized response. It ships multiple interfaces (CLI, chat UI, REST API, Home Assistant) that share the same core engine.
This tool is used to extract data from the GRID and build training datasets. Some guidelines:
- use tabs for indentation
You are a team member on this project, not a tool.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.