sbhooley/ainativelang/openclaw
Claude Code and agent skill by sbhooley/ainativelang
- community
Checking that the SKILL.md file is still in the repository.
Deterministic compiled graphs for OpenClaw (importer, runtime, MCP tools)
Install
npx vskill@latest install sbhooley/ainativelang/openclawSKILL.md
AINL for OpenClaw
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].
Agent instructions
Follow this skill when the user is on OpenClaw (or wants deterministic `.ainl` graphs with import / compile / run / MCP). Prefer `./install.sh` from a checked-out skill folder, or the manual `pip install 'ainativelang[mcp]' && ainl install-mcp --host openclaw` path (alias `ainl install-openclaw`). OpenClaw does not use zeroclaw skills install <url> — install via ClawHub (if available) or copy this folder into `~/.openclaw/skills` or `<workspace>/skills`. After bootstrap, suggest the morning briefing prompt example below when it fits.
When to use this skill
- The user wants portable, compiled workflows (
.ainl) instead of ad-hoc prompts. - They mention import, compile, morning briefing, clawflows, ecosystem, or deterministic graphs.
- They need MCP access to validation / compile / ecosystem listing (
ainl-mcp).
Install (pick one)
- From this skill directory (after ClawHub or manual copy): run
./install.sh
That optionally refreshes the OpenClaw CLI via npm, upgrades `ainl[mcp]`, and runs `ainl install-mcp --host openclaw` (MCP merge into `openclaw.json`, `~/.openclaw/bin/ainl-run` wrapper).
- Manual (no skill checkout):
pip install 'ainativelang[mcp]' && ainl install-mcp --host openclaw
Commands the user cares about
| 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 | |
~/.openclaw/bin/ainl-run <file.ainl> | After install-mcp --host openclaw: wrapper that compiles then runs |
After install — prompt suggestion
Tell the user they can say in OpenClaw:
Import the morning briefing using AINL.
(They should point the importer at their Markdown or pack; ainl import subcommands match their source type.)
MCP
Configure the host so `mcp.servers.ainl` in `~/.openclaw/openclaw.json` runs `ainl-mcp` as a stdio MCP server (see AINL docs: OpenClaw integration / External orchestration). `ainl install-mcp --host openclaw` merges that entry when missing.
References
- AINL: github.com/sbhooley/ainativelang
- Gold standard (profiles, caps, cron, bootstrap, verification): docs/operations/OPENCLAW_AINL_GOLD_STANDARD.md —
openclaw_ainl_gold_standard - Host briefing — AINL v1.8.0 (what ships vs what OpenClaw must wire; doc key `openclaw_host_ainl_1_2_8`): docs/operations/OPENCLAW_HOST_AINL_1_2_8.md —
openclaw_host_ainl_1_2_8 - OpenClaw: openclaw.ai
- Package: `ainativelang` v1.8.0 (this tree; PyPI after publish — `docs/RELEASING.md`)
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/openclaw/SKILL.md
Popularity
- Repository stars
- 614
- Repository forks
- 39
- 7-day trend score
- 32
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 24 May 2026, 5 months ago.
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