tigusigalpa

AI Kit — AI skill for Claude Code

AI community

AI-KIT is a practical starter kit for development: ChatGPT/Codex, Claude, DeepSeek, KIMI, and other coding agents.

How to install AI Kit

This entry records only its repository, not the path inside it, so there is no exact command to give. Open tigusigalpa/ai-kit and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AI Kit does

AI-KIT is a practical starter kit for development: ChatGPT/Codex, Claude, DeepSeek, KIMI, and other coding agents. It provides reusable project context, rules for each stack, adaptive model routing, conservative installation and updates, testing and review workflows, security guidance, Docker and Kubernetes readiness, and clean project templates.

Alternatives in AI

  • EchoBird — One-click install + model switch:Claude Code,Codex CLI (OpenAI), Grok Build (xAI), DeepSeek Harness, Kimi Code 3.1k ★
  • WindsurfAPI — Turn Windsurf / Devin Desktop's 100+ AI models (Claude, GPT, Gemini, DeepSeek, Kimi, GLM, SWE) into OpenAI-, A 3k ★
  • Loushang — AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool 1.3k ★

README

AI-KIT

![AI KIT](https://i.postimg.cc/BvrB6sKt/ai-kit-hero-banner.jpg)

**Stop re-explaining your project to every new AI chat.**

AI-KIT gives your coding agents persistent project memory, expert stack rules, **Kubernetes-ready** containers, **adaptive model routing**, and native configuration for **11 AI clients**. Add **Cloudflare security-audit** for structured security review and **Strix** for scoped pentesting workflows. One offline installer, zero installer dependencies, changes previewed before you apply them.

**[v1.4.3](CHANGELOG.md#v143-2026-10-16)** is published on [PyPI as `ai-kit-python` 1.4.3](https://pypi.org/project/ai-kit-python/1.4.3/). The **GitHub Release → checks → your approval → PyPI** workflow completed successfully; published file hashes and installation from PyPI in a fresh environment were verified. This release adds future release-tag support, fifteen event regression tests and a live PyPI version badge. [Publication verification](docs/V1_4_3.md#pypi-publication-and-read-back). The published Docker Hub image remains **1.4.1**. Shared dialogue memory and all optional modules remain available.

[![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-3776AB?logo=python&logoColor=white)](#install) [![PyPI version](https://img.shields.io/pypi/v/ai-kit-python?logo=pypi&logoColor=white)](https://pypi.org/project/ai-kit-python/) [![Dependencies: none](https://img.shields.io/badge/dependencies-none-2ea44f)](scripts/install.py) [![AI clients: 11](https://img.shields.io/badge/AI%20clients-11-7c3aed)](#-works-with-your-ai-clients) [![Docker Hub](https://img.shields.io/badge/Docker%20Hub-ai--kit-2496ED?logo=docker&logoColor=white)](https://hub.docker.com/r/tigusigalpa/ai-kit) [![License: MIT](https://img.shields.io/badge/license-MIT-blue)](LICENSE)

[Features](#features-at-a-glance) · [Shared context](#shared-context-from-two-dialogues) · [Web Design](#web-design) · [Docker CLI](#run-ai-kit-with-docker) · [Security workflows](#security-workfl