Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
v1.0.3: Declared optional AETHER_KEY env var for Pro tier consistency
What This Skill Does
Connects Claude Code to the AetherLang V3 API, which provides nine domain-specific AI engines for culinary, business, scientific, and forecasting analysis. Queries are sent via HTTP POST to a remote endpoint; responses return as structured Greek-language markdown. Free tier allows 100 requests per hour with no authentication.
Each engine returns domain-structured outputs (game theory matrices, phase diagrams, Kelly criterion calculations) that a general-purpose LLM would not produce in a consistent, parseable format.
When to use it
- Getting a recipe with food cost breakdown and HACCP compliance notes
- Running a Monte Carlo business strategy simulation for a startup plan
- Grading research evidence quality with reproducibility scores
- Forecasting outcomes with Bayesian updating and black swan scanning
- Running a 12-agent debate to pressure-test a strategic decision
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What is the best go-to-market strategy for an AI startup with 1000 euros?
- 1Select the apex engine for business strategy
- 2Build AetherLang flow code targeting the neuroaether runtime
- 3POST the query and flow code to https://api.neurodoc.app/aetherlang/execute
- 4Wait 30-60 seconds for sequential engine execution
- 5Extract result.final_output from the JSON response
Structured markdown report covering Monte Carlo projections, unit economics, Blue Ocean positioning, and behavioral economics framing
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.