| name | aetherlang-strategy |
| description | Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps. |
| version | 1.0.1 |
| 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 (echelonvoids@protonmail.com)
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 🧠
