Skill: contrario/aetherlang-strategy (version 2.0.0)

--- 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](https://github.com/contrario/aetherlang) **Author**: NeuroAether ([REDACTED_SECRET]) **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 ```json { "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 ```json { "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* 🧠


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)