sbhooleysbhooleyCommunityยท1 Agent Skills Included

ainativelang

Compile AI agent workflows into deterministic graphs that run cheaply

Compiles AI agent workflows written in AINL into deterministic graphs that run without re-prompting an LLM on every execution. Cuts orchestration token costs by up to 90% on recurring monitors, digests, and scheduled jobs while producing tamper-evident audit trails. Emits the same workflow to LangGraph, Temporal, FastAPI, Docker, and more, with one-command setup for Claude Code, Cursor, OpenClaw, and other MCP hosts.
npx skills add sbhooley/ainativelang --all -g -y
Available:

Tells AI agents how to install AINL in one step, auto-detect the host environment, register the MCP server, and use the compiler, runtime, and authoring tools correctly.

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Frequently Asked Questions

FAQPage Schema
How to install ainativelang?โ–ผ

Run `npx skills add sbhooley/ainativelang --all -g -y` in your terminal to install all skills in this suite globally.

What is AINL used for?โ–ผ

AINL is a language that compiles AI agent workflows into deterministic graphs, so recurring jobs run without re-prompting an LLM each time. This cuts token costs and produces reliable, auditable execution.

How does AINL reduce LLM token costs?โ–ผ

It compiles your workflow once and runs it deterministically, removing the need for the LLM to re-decide routing on every run. Recurring monitors and scheduled jobs typically see around 90% fewer orchestration tokens.

Does AINL work with Claude Code and OpenClaw?โ–ผ

Yes. AINL auto-detects Claude Code, Cursor, Codex, OpenClaw, Hermes, and other MCP hosts during setup and registers itself as an MCP server automatically.

Can AINL export workflows to other frameworks?โ–ผ

Yes. One AINL source file can be emitted to LangGraph, Temporal, FastAPI, React, OpenAPI, Docker, Kubernetes, and cron targets without rewriting the workflow.

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