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aetherlang-strategy

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

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SKILL.md Frontmatter
nameaetherlang-strategy
descriptionNobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.
version2.0.0
authorcontrario
homepagehttps://masterswarm.net
requirements[object Object]
metadata[object Object]
licenseMIT

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)

Built by NeuroAether — From Kitchen to Code 🧠