Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
v2.0.2: Removed unicode control characters, clean SKILL.md
What This Skill Does
AetherLang is a domain-specific language for defining and executing multi-step AI pipelines via api.neurodoc.app. Nine engine types cover recipe development, business strategy, market analysis, molecular gastronomy, research synthesis, and data analysis. Flows are written in a structured DSL syntax and processed server-side with rate limiting and input validation.
Nine pre-built engine types with structured mandatory outputs remove the need to engineer complex prompts from scratch for specialized domains like culinary, finance, or research.
When to use it
- Generating a recipe with food cost breakdown and allergen matrix
- Running Monte Carlo simulations for a business decision
- Sizing a new product market with TAM/SAM/SOM and competitive analysis
- Synthesizing research findings with evidence grading and contradiction detection
- Detecting anomalies and running cohort analysis on a dataset
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What is the market opportunity for a plant-based protein bar targeting Gen Z?
- 1Builds a marketing flow using the `marketing` engine node with competitive analysis mode
- 2Sends the flow DSL and user query to api.neurodoc.app/aetherlang/execute
- 3Receives structured JSON with TAM/SAM/SOM, Porter's 5 Forces, pricing elasticity, K-factor, and customer segmentation
- 4Returns the formatted market analysis to the user
A structured market report covering total addressable market sizing, competitive landscape, pricing elasticity estimates, viral coefficient, and Gen Z customer segmentation.