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AI EngineeringPython

AINL

by sbhooley

AINL is an AI Engineering skill for Claude Code, published by sbhooley in ainativelang.

714 stars29 forkson sbhooley/ainativelangAdded 2026/08/23Repository updated 2026/06/25
View source on GitHubDownload repo ZIP
agent-orchestrationai-agentsai-native-languageainlclaude-codecompilerdeterministic-executiondomain-specific-languagedslgraph-irlangchain-alternativellm-orchestrationmcpmodel-context-protocolmulti-agentopenaiopenclawprompt-engineeringpythonworkflow-engine
Install in seconds
Install AINL
Copy AINL into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/sbhooley/ainativelang/tree/main/skills/ainl ~/.claude/skills/ainl

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/sbhooley/ainativelang.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/ainl/SKILL.md in sbhooley/ainativelang
Installs to
~/.claude/skills/ainl
Collection
One of 3 skills cataloged from this repository
Category
AI Engineering — 2451 skills

What AINL does

AINL compiles deterministic `.ainl` graphs for ZeroClaw workflows. Use it to import, compile, run, and expose MCP tools for validation and orchestration.

AINL is cataloged under AI Engineering on DirSkills. AINL comes from a repository tagged agent-orchestration, ai-agents, ai-native-language, ainl and claude-code.

Documentation

README

AINL for ZeroClaw

AINL is an AI-native language that compiles deterministic graphs. In ZeroClaw, use it to import workflows, compile them, run them, and expose ainl-mcp tools to the agent.

Package: ainativelang v1.8.0 (this tree; PyPI after publish — docs/RELEASING.md). Optional extras: [mcp], [solana].

Agent instructions

Follow this skill when the user is on ZeroClaw (or wants deterministic .ainl graphs with import / compile / run / MCP). Prefer ./install.sh after zeroclaw skills install …, or the manual pip install 'ainativelang[mcp]' && ainl install-mcp --host zeroclaw path (alias ainl install-zeroclaw). After bootstrap, suggest the morning briefing prompt example below when it fits.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AINL

  • What else does sbhooley publish alongside AINL?

    AINL is one of 3 skills that DirSkills catalogs from sbhooley/ainativelang, the repository it ships in. Its siblings there include AINL and AINL. Each one is a separate skill with its own page in this directory, installs the same way AINL does, and is maintained by sbhooley in that same repository. The rest of the collection is listed on the sbhooley/ainativelang page.

  • How does AINL compare to other AI Engineering skills?

    AINL ranks #1693 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AINL against them. Open each page to compare what they document and how they install.

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AINL is one of 3 skills cataloged on DirSkills from sbhooley/ainativelang.

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