AINL is an AI Engineering skill for Claude Code, published by sbhooley in ainativelang.
AINL compiles deterministic .ainl graphs for OpenClaw, including import, compile, run, and MCP tool setup. Use it when you need portable workflows instead of ad-hoc prompts.
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
AINL is an AI-native language that compiles deterministic graphs. In OpenClaw, use it to import workflows, compile them, run them, and expose ainl-mcp tools to the agent via ~/.openclaw/openclaw.json.
Package: ainativelang v1.8.0 (this tree; PyPI after publish — docs/RELEASING.md). Optional extras: [mcp], [solana].
This is the opening of the README. Read the full README on GitHub.
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.
AINL ranks #1695 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.
AINL is one of 3 skills cataloged on DirSkills from sbhooley/ainativelang.
AINL is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1695 by stars among them.