aetherlang-claude-code
Execute AetherLang V3 AI workflows from Claude Code using nine specialized engines for culinary, business, research, marketing, and strategic analyses.
Why use this skill?
Execute specialized AI workflows using AetherLang V3 engines in Claude Code. Optimize your research, strategy, and analysis tasks with this powerful integration.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/contrario/aetherlang-claude-codeWhat This Skill Does
The aetherlang-claude-code skill serves as a high-level orchestration interface for the AetherLang V3 AI ecosystem, directly accessible from the Claude Code environment. By leveraging a specialized domain-specific language (DSL), this skill allows developers and analysts to trigger complex, multi-step AI workflows across nine distinct functional engines. Whether you need molecular-level research, culinary innovation, or high-stakes business consulting, AetherLang provides the underlying architecture to execute these tasks via a standardized JSON API. The skill effectively turns your terminal into an engine room for specialized intelligence, abstracting away the complexity of prompt engineering and replacing it with robust, reproducible flow definitions.
Installation
To integrate this capability into your agent environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/contrario/aetherlang-claude-code
Ensure your local environment allows outgoing network connections to api.neurodoc.app. If you require higher throughput or extended context, secure your Pro API key via environment variables using export AETHER_KEY=your_key_here and update your request headers accordingly.
Use Cases
- Strategic Analysis: Automate market research by chaining the 'lab' research engine with the 'apex' strategic engine to provide data-driven business pivots.
- Scientific Workflow: Utilize the 'molecular' or 'lab' engines to process complex datasets and generate structured summaries or experimental hypotheses.
- Content Pipeline: Connect 'marketing' and 'assembly' nodes to automatically draft, refine, and format long-form business intelligence reports based on raw input queries.
- Culinary R&D: Use the 'chef' engine to generate recipes, calculate nutrition profiles, and suggest ingredient substitutions based on dietary constraints.
Example Prompts
- "Use the apex engine to perform a strategic analysis of the current cloud computing market share and output a risk assessment report."
- "Run a flow that uses the lab engine to research quantum error correction trends and passes the results to the analyst engine for a technical summary."
- "Trigger the chef engine to suggest a seasonal menu for a high-end restaurant using local ingredients found in the Pacific Northwest."
Tips & Limitations
- Data Privacy: Always adhere to the data minimization principle. Do not pass sensitive environmental secrets or PII into the flow code; only send the relevant query variables.
- Flow Complexity: While the system supports complex pipelines, keep your nodes optimized. Too many chained engines may increase latency.
- Version Control: Ensure your flow code specifies the required target version (e.g.,
version ">=0.2") to prevent breaking changes in the AetherLang interpreter. - Free Tier: Remember that the free tier is capped at 100 requests per hour. Monitor your usage to avoid unexpected interruptions in your workflow.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-contrario-aetherlang-claude-code": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api
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