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AetherLang Strategy V3

作者 Hlias Staurou · GitHub ↗ · v2.0.0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install aetherlang-strategy
功能描述
Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.
使用说明 (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 Author: NeuroAether ([email protected]) 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\x3C12mo), 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 {\
  using target \"neuroaether\" version \">=0.2\";\
  input text query;\
  node Guard: guard mode=\"MODERATE\";\
  node Engine: apex analysis=\"strategic\";\
  Guard -> Engine;\
  output text report from Engine;\
}",
  "query": "Your strategy question here"
}

Market Intel Flow

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

安全使用建议
This skill forwards whatever you type to a third-party API (api.neurodoc.app / masterswarm.net) for processing. Before installing or using it: (1) Do not include secrets, API keys, private documents, or confidential business plans in prompts—those will be transmitted to the vendor. (2) Review the vendor's privacy policy and reputation (masterswarm.net, github.com/contrario/aetherlang) and confirm retention/processing terms. (3) Test with non-sensitive queries to verify behavior and output language (primary output is Greek). (4) If you must analyze sensitive data, request an on-prem or vetted integration that explicitly supports encryption/contractual controls. If you need further checking, ask for network traffic examples, proof of ownership for the api.neurodoc.app domain, or the upstream API's data-retention SLA; those details would raise confidence if provided.
功能分析
Type: OpenClaw Skill Name: aetherlang-strategy Version: 2.0.0 The skill is a legitimate API connector designed to provide business strategy analysis by interfacing with an external endpoint (api.neurodoc.app). It sends user-provided queries to a remote backend for processing via a custom workflow language (AetherLang) and returns structured reports. No evidence of data exfiltration, unauthorized system access, or malicious intent was found; the skill's behavior aligns with its documented purpose.
能力评估
Purpose & Capability
Name/description (Nobel-level strategic analysis) align with behavior: SKILL.md declares an external API-based strategy engine and provides JSON request examples. No unrelated binaries, env vars, or install steps are requested.
Instruction Scope
The SKILL.md clearly instructs the agent to send natural-language strategy queries to https://api.neurodoc.app/aetherlang/execute and includes payload examples. The instructions do not ask the agent to read local files, environment variables, or credentials, but any user prompt content (which could include sensitive data) will be sent to the external service—this is expected for an API connector but is a privacy consideration.
Install Mechanism
Instruction-only skill with no install spec and no code files, so nothing is written to disk and no third-party packages are pulled during installation.
Credentials
No environment variables, credentials, or config paths are requested; this is proportionate to an API-based strategy skill that relies on a public/unauthenticated endpoint per its docs.
Persistence & Privilege
always:false and default invocation settings—no elevated or persistent platform privileges requested. The skill does not request to modify other skills or system configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install aetherlang-strategy
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /aetherlang-strategy 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.0.0
v2.0.0: Added YAML frontmatter, operator note, privacy policy metadata
v1.0.2
Added explicit agent data minimization safeguards
v1.0.1
Fix: removed unicode ZWJ control characters
v1.0.0
Initial release: APEX game theory + Monte Carlo + Market Intel + NEXUS-7 consulting
元数据
Slug aetherlang-strategy
版本 2.0.0
许可证
累计安装 2
当前安装数 2
历史版本数 4
常见问题

AetherLang Strategy V3 是什么?

Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 408 次。

如何安装 AetherLang Strategy V3?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install aetherlang-strategy」即可一键安装,无需额外配置。

AetherLang Strategy V3 是免费的吗?

是的,AetherLang Strategy V3 完全免费(开源免费),可自由下载、安装和使用。

AetherLang Strategy V3 支持哪些平台?

AetherLang Strategy V3 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 AetherLang Strategy V3?

由 Hlias Staurou(@contrario)开发并维护,当前版本 v2.0.0。

💬 留言讨论