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name: aetherlang-strategy description: Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps. version: 2.0.0 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 Strategy Ω V3 — Nobel-Level Business Intelligence

Game theory, Monte Carlo simulations, behavioral economics, and competitive war gaming. The most advanced AI strategy engine available.

Source Code: github.com/contrario/aetherlang Author: NeuroAether (info@neurodoc.app) License: MIT

Privacy & Data Handling

⚠️ External API Notice: This skill sends queries to api.neurodoc.app for processing.

• What is sent: Natural language business/strategy queries only
• What is NOT sent: No credentials, API keys, personal files, or system data
• Data retention: Not stored permanently
• Hosting: Hetzner EU (GDPR compliant)
• No credentials required: Free tier, 100 req/hour

What This Skill Does

Three V3 strategy engines in one skill:

📈 APEX Strategy V3 — Nobel-Level Analysis

Every response includes:

• EXECUTIVE SUMMARY — 3-4 actionable proposals with numbers
• SITUATION ANALYSIS — Quantified current state, challenges with impact scores, stakeholder mapping
• STRATEGIC OPTIONS — Min 3 alternatives with complexity (1-10), time_to_value, investment €, ROI%, risk
• GAME THEORY — Nash Equilibrium analysis, payoff matrix
• BEHAVIORAL ECONOMICS — Anchoring, Loss Aversion, Social Proof, Endowment Effect strategies
• MONTE CARLO — 10,000 simulations: P(ROI>100%), P(Break-even<12mo), P(Loss), 90% CI
• DECISION TREE — Expected Values with probabilities for each option
• IMPLEMENTATION ROADMAP — Foundation 0-30d, Build 30-90d, Scale 90-180d, Optimize 180+d
• RISK MATRIX — Probability × Impact + mitigation + contingency + early warnings
• COMPETITIVE WAR GAMING — "If we do X → competitor likely Y → counter-move Z"
• FINANCIAL PROJECTION — CAPEX, OPEX, 3-year revenue, break-even, ROI%, NPV, IRR%
• UNIT ECONOMICS — CAC, LTV, LTV:CAC ratio, payback period, gross margin%
• BLUE OCEAN CANVAS — Eliminate / Reduce / Raise / Create
• OKR GENERATOR — Objectives & Key Results
• KPIs — Leading & lagging with min/target/stretch
• NEXT ACTIONS — 3 things for TODAY

📊 Market Intel V3

• TAM/SAM/SOM with € values and CAGR%
• Category design (create new vs compete)
• Porter's 5 Forces analysis
• Customer segmentation with WTP and LTV
• Pricing elasticity and optimal price point
• Network effects and viral coefficient (K-factor)
• Distribution matrix (Direct/Partners/Marketplace)

💼 NEXUS-7 Consult V3

• Causal loop diagrams (reinforcing/balancing loops)
• Theory of constraints (Bottleneck → Exploit → Subordinate → Elevate)
• Wardley Maps (Genesis → Custom → Product → Commodity)
• ADKAR change management with timeline
• Anti-pattern library with historical failure rates
• System dynamics modeling

Usage

Ask naturally about any business/strategy topic:

• "Strategy for AI OCR platform in Greece with €1000 budget" → Full APEX analysis
• "Market analysis for Greek food delivery apps" → TAM/SAM/SOM + competitive landscape
• "How to scale my SaaS from 0 to 1000 users" → NEXUS-7 consulting with Wardley maps

API Details

POST https://api.neurodoc.app/aetherlang/execute
Content-Type: application/json

APEX Strategy Flow

{
  "code": "flow Strategy {\n  using target \"neuroaether\" version \">=0.2\";\n  input text query;\n  node Guard: guard mode=\"MODERATE\";\n  node Engine: apex analysis=\"strategic\";\n  Guard -> Engine;\n  output text report from Engine;\n}",
  "query": "Your strategy question here"
}

Market Intel Flow

{
  "code": "flow Market {\n  using target \"neuroaether\" version \">=0.2\";\n  input text query;\n  node Engine: marketing analysis=\"competitive\";\n  output text report from Engine;\n}",
  "query": "Your market question here"
}

Response

Returns structured Greek output with markdown headers. Typical response: 4000-8000 characters covering all mandatory sections with quantified data.

Languages

• Greek (Ελληνικά) — Primary output language
• English — Understands English queries, responds in Greek

Technology

• AI Model: GPT-4o
• Backend: FastAPI + Python 3.12
• Rate Limit: 100 req/hour (free)

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