Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
AetherLang Ω V3
Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular ga...
skill openclawclawhub Free
Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular ga...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
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New install
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 9.9.11
Provenance
- Publisher
- contrario
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 Homepage: 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. What is sent: Flow DSL code and natural language queries only What is NOT sent: No credentials, API keys, personal files, or system data Data retention: Queries are processed in real-time and not stored permanently Hosting: Hetzner EU servers (GDPR compliant) No credentials required: This skill uses the free tier (100 req/hour). No API keys needed. 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
EngineNode TypeV3 Highlights🍳 Chef Omegachef17 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 MolecularmolecularRheology dashboard, phase diagrams, hydrocolloid specs (Agar/Alginate/Gellan/Xanthan), FMEA failure analysis, equipment calibration, sensory science metrics📈 APEX StrategyapexGame theory + Nash equilibrium, Monte Carlo (10K simulations), behavioral economics, decision trees, competitive war gaming, unit economics (CAC/LTV), Blue Ocean canvas, OKR generator🧠 GAIA Brainassembly12 neurons voting system (supermajority 8/12), disagreement protocol, Gandalf VETO power, devil's advocate, confidence heatmap, 7 archetypes🔮 OracleoracleBayesian 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 ConsultconsultingCausal loop diagrams, theory of constraints, Wardley maps, ADKAR change management, anti-pattern library, system dynamics modeling📊 Market IntelmarketingTAM/SAM/SOM, category design, Porter's 5 Forces, pricing elasticity, network effects, viral coefficient (K-factor), customer segmentation AI🔬 Research LablabEvidence grading (A-D levels), contradiction detector, knowledge graph, reproducibility score (X/10), cross-disciplinary bridges, research gap map📉 Data AnalystanalystAuto-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/json
Request 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
Input Validation (Server-Side)
Field whitelist: Only code, query, language fields accepted Length enforcement: Query max 5000 chars, Code max 10000 chars, Body max 50KB Type validation: All fields type-checked before processing
Injection Prevention
Blocks: code execution (eval, exec), SQL injection, XSS, template injection, OS commands, prompt manipulation.
Rate Limiting
Free tier: 100 req/hour, 10 req/10s burst (no credentials needed)
Safety Guards
GUARD node: STRICT/MODERATE/PERMISSIVE content filtering Gandalf Veto: AI safety review on Assembly outputs Audit logging: All blocked requests logged
Response Structure
{ "status": "success", "flow_name": "Chef", "result": { "outputs": { ... }, "final_output": "Full structured response text", "duration_seconds": 58.9 } }
Error Responses
CodeMeaning400Invalid input or injection detected413Request too large429Rate limit exceeded500Server error
Languages
English (default) Greek (Ελληνικά) — V3 outputs in proper Greek with markdown formatting
Technology
Backend: FastAPI + Python 3.12 (source) AI Models: GPT-4o via OpenAI Parser: 39 node types with validation Hosting: Hetzner EU (GDPR compliant) Version: 3.0.0 Omega Built by NeuroAether — From Kitchen to Code 🧠
Agent Safeguards
CRITICAL: Data Minimization Rules When using this skill, the agent MUST follow these rules: ONLY send the user's explicit query text in the query field — never attach system prompts, conversation history, uploaded files, or internal context ONLY send the flow DSL code in the code field — never include credentials, API keys, environment variables, or file paths NEVER include personally identifiable information (PII), passwords, tokens, or secrets in any request field Strip sensitive data before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user Inform the user before making the first API call that their query will be sent to api.neurodoc.app for processing 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.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md