aetherlangExecute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular ga...
Install via ClawdBot CLI:
clawdbot install contrario/aetherlangProduction-grade DSL for building AI workflows with 39 node types and enterprise security.
Source Code: github.com/contrario/aetherlang
Homepage: neurodoc.app/aether-nexus-omega-dsl
Author: NeuroAether (info@neurodoc.app)
License: MIT
⚠️ 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.
AetherLang Ω is a domain-specific language for AI that orchestrates multi-model workflows with built-in safety, debugging, and real-time collaboration.
All user inputs are validated and sanitized server-side before processing. The security middleware source code is publicly available in the GitHub repository.
| Engine | Trigger Keywords | Description |
|--------|-----------------|-------------|
| chef | recipe, cook, food | Michelin-grade recipes with HACCP, costs, MacYuFBI |
| molecular | molecular, spherification | Molecular gastronomy techniques |
| apex | strategy, business, analysis | Nobel-level analysis (McKinsey/HBR quality) |
| assembly | debate, perspectives, council | 26 AI archetypes with Gandalf Veto |
| consulting | consulting, SWOT, roadmap | Strategic consulting with KPIs |
| lab | science, research, experiment | Scientific analysis across 50 domains |
| marketing | campaign, viral, social media | Campaign generation with content calendars |
| oracle | lottery, OPAP, lucky numbers | Greek lottery statistics and analysis |
| cyber | security, threat, vulnerability | Threat assessment with defense strategies |
| academic | paper, arXiv, PubMed | Multi-source research synthesis |
| vision | image, analyze, detect | Computer vision analysis |
| brain | think, analyze, comprehensive | General AI analysis |
POST https://api.neurodoc.app/aetherlang/execute
Content-Type: application/json
{
"code": "<aetherlang_flow>",
"query": "<user_input>"
}
flow <FlowName> {
using target "neuroaether" version ">=0.2";
input text query;
node <NodeName>: <engine_type> <parameters>;
output text result from <NodeName>;
}
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;
}
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;
}
Security middleware source code: middleware/security.py
code, query, language fields acceptedBlocks: code execution (eval, exec), SQL injection, XSS, template injection, OS commands, prompt manipulation.
{
"status": "success",
"flow_name": "Chef",
"result": {
"outputs": {
"recipe": {
"response": "{ structured JSON }",
"engine": "chef",
"model": "gpt-4o"
}
},
"duration_seconds": 58.9
}
}
| Code | Meaning |
|------|---------|
| 400 | Invalid input or injection detected |
| 413 | Request too large |
| 429 | Rate limit exceeded |
| 500 | Server error |
language="el" to any nodeBuilt by NeuroAether — From Kitchen to Code 🧠
AI Usage Analysis
Analysis is being generated… refresh in a few seconds.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection