Claude Skill
sbhooley/ainativelang
AINL is a compact, graph-canonical AI-native programming system for building deterministic, multi-step AI workflows with state, memory, tool use, and validation. Reduce prompt loops and orchestrate...
Overview
Repository
Install this Skill
pip install ainativelangRegistry
pip install ainativelanggit clone https://github.com/sbhooley/ainativelang.gitpip install -e ".[mcp]"pip install -e ".[dev]"
Summary
AINL (AI Native Language) is a compact, graph-canonical programming system that transforms AI from conversational agents into structured, deterministic workers. It is designed for teams building multi-step AI workflows with state, memory, tool use, repeatable execution, validation, and control, reducing reliance on long prompt loops.
AINL 帮助将人工智能从“智能对话”转变为“结构化工作者”。它专为构建需要多步骤、状态与记忆、工具调用、可重复执行、验证与控制，以及减少对长提示循环依赖的AI工作流团队而设计。AINL 是一个紧凑、图规范、AI原生的编程系统（详见：README）。
Key features
- Graph-canonical AI-native programming system
- Deterministic execution with state and memory management
- Built-in tool use and multi-step workflow orchestration
- Validation and control mechanisms to reduce prompt loops
- Compact DSL designed for repeatable AI workflows
Use cases
- Building multi-agent orchestration systems
- Creating deterministic AI workflows with tool integration
- Developing repeatable business process automation
- Replacing long prompt loops with structured execution
- Implementing stateful AI assistants with memory
README excerpt
# AI Native Lang (AINL) <p align="center"> <img src="docs/assets/ainl_logo.png" alt="AINL logo" width="220" /> </p> <p align="center"> Find Us on X: <a href="https://x.com/ainativelang">@ainativelang</a> </p> <p align="center"> <img src="https://img.shields.io/badge/python-3.10%2B-blue" alt="Python 3.10+" /> <a href="https://github.com/sbhooley/ainativelang/tags"> <img src="https://img.shields.io/github/v/tag/sbhooley/ainativelang?label=release" alt="Latest tag" /> </a> <a href="tests/snapshots/conformance/summary.md"> <img src="tests/snapshots/conformance/conformance_badge.svg" alt="Conformance status" /> </a> <a href="https://github.com/sbhooley/ainativelang/actions/workflows/sync-ecosystem.yml"> <img src="https://github.com/sbhooley/ainativelang/actions/workflows/sync-ecosystem.yml/badge.svg" alt="Auto-sync OpenClaw/NemoClaw/Clawflows/Agency-Agents" /> </a> <a href="LICENSE"> <img src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" alt="License: Apache-2.0" /> </a> <img src="https://img.shields.io/badge/MCP-v1%20server-blueviolet" alt="MCP v1" /> <a href="https://github.com/sbhooley/ainativelang/tree/main/skills/ainl"> <img src="https://img.shields.io/badge/ZeroClaw%20Skill-AINL-blue" alt="ZeroClaw Skill: AINL" /> </a> <a href="https://github.com/sbhooley/ainativelang/tree/main/skills/openclaw"> <img src="https://img.shields.io/badge/OpenClaw%20Skill-AINL-blue" alt="OpenClaw Skill: AINL" /> </a> <a href="https://github.com/NousResearch/hermes-agent"> <img src="https://img.shields.io/badge/Hermes%20Agent-AINL-blue" alt="Hermes Agent: AINL" /> </a> <img src="https://img.shields.io/badge/graph--first-deterministic%20IR-orange" alt="Graph-first deterministic IR" /> <img src="https://img.s