Havuz

AI SaaS boilerplate for Next.js 16 — Better Auth, Stripe subscriptions, credits system, AI image generation. AI-native: AGENTS.md, Claude Co

Framework-agnostic AI documentation scaffold — one command gives any repo the shared instructions, memory, and gates coding agents need to w

One source to rule them all: write agents, skills, rules, and hooks once, then sync them to your AI tools.

Agent Skills — agent-neutral autonomous product-building OS for 32+ AI coding tools. 23 skill categories · 28 agents · 149 reference docs ·

The framework for building stateful agents. Your agent is a folder of state, served over MCP, used from any runtime.

The tested, tool-agnostic AGENTS.md kit — verified templates, a CI linter, and migrators from .cursorrules/CLAUDE.md/Copilot/Windsurf/Cline/

Agent skill + template: short videos made entirely from code. One HTML file, every frame a pure function of (frame, seed, width). Claude Cod

all human experts into AI agents

The control plane for your coding agents, however you run them. One checkout of rules, skills, subagents, hooks and stances, projected into

⚗️ Experimental — A markdown brain that gives your AI coding tools judgment and rigor: sharp defaults, real decisions, and the discipline to

Open-source repository standard, starter template, validator, and multi-agent workflow for making vibe-coded and AI-generated software under

Spring Boot support for AGENTS.md in Spring AI applications

Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked against people, pass@1 with

Git-versioned agent memory: agents that never make the same mistake twice. Anthropic-Skill folder standard, multi-runtime (Claude Code, Curs

Atomic scripts for launching, collecting fees from, and trading pump.fun coins. Built around Jito bundles for atomicity across multiple txs,

For anyone whose AI coding agent (Claude Code, Codex, Cursor, Gemini) keeps following stale instructions: a small spec plus dependency-free

Start with a concept, not a stack. A harness-agnostic protocol that scaffolds greenfield projects from a rigorous concept instead of a chain

Turn one-off AI collaboration prompts into long-running repository governance. · “把一次性的 AI 协作提示，疏导成项目里长期可运行的治理体系。”——Dayu Harness Skill（大禹治库.

Git diff for AI agent repository instructions. Shows the blast radius of AGENTS.md and CLAUDE.md changes.

A practical workflow for reliable AI-assisted software development

Open-source ADR workflow for coding agents: 14 skills that scaffold and manage Architecture Decision Records, a plan queue and AGENTS.md con

Wordcell keeps decisions, plans, and sources as Markdown beside your code, so coding agents can find them from the file they are about to ch

Six steps to make a new Phoenix app work well with AI coding agents: pin the toolchain, turn mix precommit into a real gate, split the gener

Agent skill for generating and verifying AGENTS.md files for coding agents.

Snap a line before your agents build.

Offline-first toolkit for agent-ready repositories: readiness scoring, instruction graphs, context packs, policy/rule packs, MCP, GitHub Act

See which external pull requests need context before code review. Deterministic, no login, no AI.

Turn your Pieces Long-Term Memory into an AGENTS.md your coding agents can read. Local-only, redaction-first.

The loop your AI coding agents follow to ship a change, prove it in production, and improve. A companion file to AGENTS.md and SOUL.md.

打开这个文件夹，就有一位一对一导师。A Markdown teaching protocol that turns any AI tool into a one-on-one tutor.