Search

PythonReactSEOPDF
OpenClaw

aetherlang-strategy

Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.

contrario0 source installs☆ 0 Repository starsv2.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install contrario/aetherlang-strategy

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/contrario/aetherlang-strategy
Version
2.0.0
Commit
d116f6709d943c6c268840a11fd8167a40836fee
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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 (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...

Related skills

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.