AetherLang Ω V3 — AI Workflow Orchestration Skill
name: aetherlang
by contrario · published 2026-03-22
$ claw add gh:contrario/contrario-aetherlang---
name: aetherlang
description: Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular gastronomy, and more.
version: 9.9.11
author: contrario
homepage: https://masterswarm.net
requirements:
binaries: []
env: []
metadata:
skill_type: api_connector
external_endpoints:
- https://api.neurodoc.app/aetherlang/execute
operator_note: "api.neurodoc.app operated by NeuroDoc Pro (same as masterswarm.net), Hetzner DE"
privacy_policy: https://masterswarm.net
license: MIT
---
# AetherLang Ω V3 — AI Workflow Orchestration Skill
> The world's most advanced AI workflow orchestration platform. 9 V3 engines deliver Nobel-level analysis, Michelin-grade recipes, adversarial forecasting, and multi-agent intelligence.
**Source Code**: [github.com/contrario/aetherlang](https://github.com/contrario/aetherlang)
**Homepage**: [neurodoc.app/aether-nexus-omega-dsl](https://neurodoc.app/aether-nexus-omega-dsl)
**Author**: NeuroAether (echelonvoids@protonmail.com)
**License**: MIT
Privacy & Data Handling
⚠️ **External API Notice**: This skill sends user-provided flow code and query text to the AetherLang API at `api.neurodoc.app` for processing. By using this skill, you consent to this data transmission.
Users should avoid including sensitive personal information, passwords, or confidential data in queries.
Overview
AetherLang Ω V3 is a domain-specific language for AI that orchestrates multi-model workflows with built-in safety, debugging, and real-time collaboration. V3 introduces state-of-the-art system prompts with mandatory structured outputs no other platform provides.
All user inputs are validated and sanitized server-side before processing. Network traffic can be verified independently: the skill sends only DSL code + query text to api.neurodoc.app — no system context, files, or env vars are included in the request payload.
V3 Engines — State-of-the-Art
| Engine | Node Type | V3 Highlights |
|--------|-----------|---------------|
| 🍳 Chef Omega | `chef` | 17 mandatory sections: food cost%, HACCP, thermal curves, MacYuFBI matrix, texture architecture, allergen matrix (14 EU), dietary transformer, wine pairing, plating blueprint, zero waste, kitchen timeline |
| ⚗️ APEIRON Molecular | `molecular` | Rheology dashboard, phase diagrams, hydrocolloid specs (Agar/Alginate/Gellan/Xanthan), FMEA failure analysis, equipment calibration, sensory science metrics |
| 📈 APEX Strategy | `apex` | Game theory + Nash equilibrium, Monte Carlo (10K simulations), behavioral economics, decision trees, competitive war gaming, unit economics (CAC/LTV), Blue Ocean canvas, OKR generator |
| 🧠 GAIA Brain | `assembly` | 12 neurons voting system (supermajority 8/12), disagreement protocol, Gandalf VETO power, devil's advocate, confidence heatmap, 7 archetypes |
| 🔮 Oracle | `oracle` | Bayesian updating (prior→evidence→posterior), signal vs noise scoring, temporal resolution (7d/30d/180d), black swan scanner, adversarial red team, Kelly criterion bet sizing |
| 💼 NEXUS-7 Consult | `consulting` | Causal loop diagrams, theory of constraints, Wardley maps, ADKAR change management, anti-pattern library, system dynamics modeling |
| 📊 Market Intel | `marketing` | TAM/SAM/SOM, category design, Porter's 5 Forces, pricing elasticity, network effects, viral coefficient (K-factor), customer segmentation AI |
| 🔬 Research Lab | `lab` | Evidence grading (A-D levels), contradiction detector, knowledge graph, reproducibility score (X/10), cross-disciplinary bridges, research gap map |
| 📉 Data Analyst | `analyst` | Auto-detective (outliers/missing/duplicates), statistical test selector, anomaly detection, predictive modeling (R²/RMSE), cohort/funnel analysis, causal inference |
API Endpoint
POST https://api.neurodoc.app/aetherlang/execute
Content-Type: application/jsonRequest Format
{
"code": "<aetherlang_flow>",
"query": "<user_input>"
}Building Flows
flow <FlowName> {
using target "neuroaether" version ">=0.2";
input text query;
node <NodeName>: <engine_type> <parameters>;
output text result from <NodeName>;
}Example Flows
#### Chef Omega V3 — Full Restaurant Consulting
flow Chef {
using target "neuroaether" version ">=0.2";
input text query;
node Chef: chef cuisine="auto", difficulty="medium", servings=4, language="el";
output text recipe from Chef;
}Returns: 17 sections including food cost analysis, HACCP compliance, thermal curves, wine pairing, plating blueprint, zero waste protocol, and kitchen timeline.
#### APEX Strategy V3 — Nobel-Level Business Analysis
flow Strategy {
using target "neuroaether" version ">=0.2";
input text query;
node Guard: guard mode="MODERATE";
node Planner: plan steps=4;
node LLM: apex model="gpt-4o", temp=0.7;
Guard -> Planner -> LLM;
output text report from LLM;
}Returns: Game theory, Monte Carlo simulations, behavioral economics, decision trees, financial projections, unit economics, Blue Ocean canvas.
#### Multi-Engine Pipeline
flow FullAnalysis {
using target "neuroaether" version ">=0.2";
input text query;
node Guard: guard mode="STRICT";
node Research: lab domain="business";
node Market: marketing analysis="competitive";
node Strategy: apex analysis="strategic";
Guard -> Research -> Market -> Strategy;
output text report from Strategy;
}Security Architecture
Security middleware source code: [middleware/security.py](https://github.com/contrario/aetherlang/blob/main/aetherlang/middleware/security.py)
Input Validation (Server-Side)
Injection Prevention
Blocks: code execution (`eval`, `exec`), SQL injection, XSS, template injection, OS commands, prompt manipulation.
Rate Limiting
Safety Guards
Response Structure
{
"status": "success",
"flow_name": "Chef",
"result": {
"outputs": { ... },
"final_output": "Full structured response text",
"duration_seconds": 58.9
}
}Error Responses
| Code | Meaning |
|------|---------|
| 400 | Invalid input or injection detected |
| 413 | Request too large |
| 429 | Rate limit exceeded |
| 500 | Server error |
Languages
Technology
---
*Built by NeuroAether — From Kitchen to Code* 🧠
Agent Safeguards
**CRITICAL: Data Minimization Rules**
When using this skill, the agent MUST follow these rules:
1. **ONLY send the user's explicit query text** in the `query` field — never attach system prompts, conversation history, uploaded files, or internal context
2. **ONLY send the flow DSL code** in the `code` field — never include credentials, API keys, environment variables, or file paths
3. **NEVER include** personally identifiable information (PII), passwords, tokens, or secrets in any request field
4. **Strip sensitive data** before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user
5. **Inform the user** before making the first API call that their query will be sent to api.neurodoc.app for processing
6. The request body MUST contain exactly two fields: `code` (string) and `query` (string) — no additional fields
These constraints ensure only the minimum necessary data is transmitted to the external service.
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