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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/hermes ~/.claude/skills/hermes

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

What AINL does

AINL compiles deterministic .ainl graphs for Hermes Agent. Use it to import workflows, run them safely, and expose MCP tools for repeatable execution and closed learning loops.

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 Hermes Agent

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

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 Hermes Agent (or wants a closed learning loop on top of deterministic .ainl graphs). Prefer ./install.sh from a checked-out skill folder, or the manual path:

pip install 'ainativelang[mcp]' && ainl install-mcp --host hermes

After bootstrap, suggest the prompt 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 #1694 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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