A specialized skill enabling the execution of AetherLang V3 domain-specific AI workflows directly through Claude Code for high-depth analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aetherlang-claude-code
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install aetherlang-claude-code using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AetherLang V3 is a sophisticated AI workflow language that allows users to tap into nine specialized engines tailored for specific professional domains. This integration allows Openclaw Skills users to move beyond general-purpose chat into deep, structured analysis. Whether you are calculating thermal curves for molecular gastronomy or running Monte Carlo simulations for business strategy, this skill provides the necessary bridge to the AetherLang ecosystem.
The skill emphasizes data minimization, ensuring only the necessary query and flow code are transmitted. It supports a wide range of analytical frameworks, from Wardley maps in consulting to Bayesian updating in forecasting, providing structured markdown responses that are ideal for professional reporting and technical documentation.
To use this skill within the Openclaw Skills framework, ensure your environment is configured for API interactions. If you have a Pro tier key, set it as an environment variable to avoid hardcoding:
export AETHER_KEY=your_key_here
No additional binary dependencies are required as the skill communicates via a standard HTTPS endpoint at api.neurodoc.app.
The skill utilizes a structured request/response format to manage complex AI workflows:
| Property | Type | Description |
|---|---|---|
code |
String | The AetherLang flow definition (DSL). |
query |
String | The specific user prompt or data to analyze. |
status |
String | Returns 'success' upon completion. |
final_output |
String | The primary markdown response (Greek language). |
duration_seconds |
Float | The total time taken for engine execution. |
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