| name | AINL |
| description | Deterministic compiled graphs for ZeroClaw (importer, runtime, MCP tools) |
| install | ./install.sh |
| install_alt | pip install 'ainativelang[mcp]' && ainl install-mcp --host zeroclaw |
| commands | ["ainl import <source> — convert Markdown / ecosystem packs into `.ainl` graphs","ainl compile <file.ainl> — compile and validate deterministic graph IR","ainl run <file.ainl> — run compiled workflow (when your graph uses the runtime path)","zeroclaw ainl run <file.ainl> — same via ZeroClaw shim after install (see install-mcp --host zeroclaw)"] |
| tags | ["ainl","graphs","mcp","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].
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.
.ainl) instead of ad-hoc prompts.ainl-mcp).From this skill directory (recommended with zeroclaw skills install): run ./install.sh
That upgrades ainl[mcp] and runs ainl install-mcp --host zeroclaw (pip self-upgrade, MCP registration hints, ~/.zeroclaw/bin/ainl-run shim).
Manual:
pip install 'ainativelang[mcp]' && ainl install-mcp --host zeroclaw
This skill is designed for environments with PEP 668 externally-managed Python (Python 3.13+, sudo blocked).
python -m venv first, then --user, then --break-system-packages as a last resort.pip3 uninstall -y ainl mcp aiohttp langgraph temporalio
rm -rf /tmp/ainl-repo /data/.openclaw/workspace/skills/ainl /data/.local/lib/python3.13/site-packages/*ainl*
| Command | Purpose |
|---|---|
ainl import … | Import Markdown or ecosystem sources into .ainl |
ainl compile … | Compile / validate graphs |
ainl run … | Execute a graph via the CLI runtime where applicable |
zeroclaw ainl run <file.ainl> | After bootstrap: wrapper that compiles/runs through the installed shim |
Tell the user they can say in ZeroClaw:
Import the morning briefing using AINL.
(They should point the importer at their Markdown or pack; ainl import subcommands match their source type.)
Configure the host to run ainl-mcp as a stdio MCP server (see AINL docs: External orchestration / MCP). ainl install-mcp --host zeroclaw aligns local setup with ZeroClaw paths where applicable. Authoring tools include ainl_get_started (pass wizard_state_json to continue), ainl_step_examples (snippets by topic), validate/compile responses with contract_validation_status, and resources ainl://strict-valid-examples and ainl://strict-valid-families. See repo AGENTS.md and docs/operations/MCP_AINL_WIZARD_AND_CORPUS.md.
ainativelang on PyPI