aetherlang

What This Skill Does

AetherLang Ω V3 is a sophisticated workflow orchestration engine designed for high-stakes problem solving. It utilizes a specialized domain-specific language (DSL) to orchestrate multi-agent AI processes, effectively acting as an intelligent conductor for complex workflows. Unlike standard AI queries, AetherLang enforces structured, multi-step execution pipelines, ensuring that every output adheres to rigorous academic, technical, or industrial standards. Whether you are generating a professional kitchen blueprint or a deep-dive business strategy using Nash equilibrium models, the skill ensures reliable, repeatable, and high-fidelity results through its proprietary multi-agent voting architectures.

Installation

To integrate AetherLang into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/contrario/aetherlang

Ensure your agent has internet connectivity enabled, as the skill requires communication with the central AetherLang API at api.neurodoc.app to process the DSL logic.

Use Cases

• Molecular Gastronomy: Generate hyper-precise recipes including HACCP compliance, allergen matrices, and thermal curves.
• Business Strategy: Use the APEX engine to run Monte Carlo simulations, competitive war gaming, and calculate unit economics like CAC and LTV.
• Complex Problem Solving: Deploy the GAIA Brain engine to engage a 12-neuron voting system, incorporating a devil's advocate and confidence heatmaps to reach superior conclusions.
• Systems Modeling: Utilize NEXUS-7 for causal loop diagrams and Wardley mapping to visualize organizational bottlenecks.

Example Prompts

1. "Use the APEX strategy engine to conduct a Monte Carlo simulation on our new Q3 market entry strategy, focusing on unit economics and potential black swan risks."
2. "Chef Omega, design a 5-course tasting menu centered on seasonal umami, providing the full allergen matrix, thermal cooking curves, and zero-waste plating blueprint."
3. "Run a GAIA assembly analysis on the feasibility of transitioning our infrastructure to a decentralized model, utilizing the disagreement protocol for all 12 archetypes."

Tips & Limitations

• Privacy: The skill processes data externally. Avoid inputting sensitive credentials or PII, as this data is sent to the AetherLang API servers for processing.
• DSL Mastery: For optimal results, consult the AetherLang documentation. While natural language queries are supported, structuring your request using AetherLang DSL syntax enables deeper control over the workflow nodes.
• Limits: The skill is subject to a free-tier rate limit of 100 requests per hour. If your workflow requires high-frequency execution, monitor your usage metrics closely.
• Validation: All user-provided code is sanitized server-side; rely on the provided middleware for secure execution environments.