← Back to Skills Marketplace
hanxueyuan

Grey Goose

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
52
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install grey-goose
Description
分析灰雁伏特加如何凭借法国产区差异化和高端定价策略打破俄罗斯伏特加垄断。
README (SKILL.md)

Grey Goose

历史时间线

  • 1997年：Sidney Frank在马萨诸塞创立，选择在法国皮卡第地区蒸馏
  • 1998年：在拉斯维加斯酒类博览会上首次亮相
  • 2000年代初：成为美国增长最快的超高端烈酒品牌
  • 2004年：以$20亿被百加得收购，史上最贵烈酒品牌交易之一
  • 2000年代：扩展产品线，推出水果风味和限量版
  • 2010年代：面临精酿烈酒竞争，重新强调法国原产地叙事

商业模式

超高端伏特加品牌，现属百加得。单一产品线策略——专注于高端（$30-50/瓶）而非大众市场。通过酒吧/餐厅渠道和高端零售建立品牌势能。全球核心市场为美国、欧洲、亚洲。

护城河分析

'法国制造'的差异化定位（伏特加传统上是俄罗斯/波兰品类），超高端定价策略创造的品牌光环，百加得全球分销支持，夜店和高端餐饮渠道的深度渗透。

关键数据

1997年创立，2004年以$20亿被百加得收购，超高端伏特加市场份额领先

有趣事实

创始人Sidney Frank用小麦和法国皮卡第的天然泉水作为核心卖点——这在以俄罗斯和波兰为主导的伏特加市场中是一个极其大胆的定位创新。

Usage Guidance
This skill is low-risk: it’s a static Chinese-language business analysis and asks for no credentials or installs. Before enabling, consider whether you trust the unknown source/owner (no homepage provided) and remember the content is informational — verify any factual or financial claims from original sources if you’ll act on them. Autonomous invocation is allowed by default on the platform (normal), so only enable it if you’re comfortable the agent may call this skill during workflows.
Capability Analysis
Type: OpenClaw Skill Name: grey-goose Version: 1.0.0 The skill bundle contains purely informational content regarding the history, business model, and market analysis of the Grey Goose vodka brand. There are no executable code segments, network requests, or suspicious instructions within the SKILL.md or _meta.json files.
Capability Assessment
✓ Purpose & Capability
The name and description promise an analysis of Grey Goose's positioning and pricing; the SKILL.md contains exactly that analysis and asks for no extra capabilities, binaries, or credentials.
✓ Instruction Scope
The SKILL.md is static content with a short 'read_when' cue list and detailed analysis text; it does not instruct the agent to read arbitrary files, access environment variables, call external endpoints, or perform actions outside the stated research/analysis scope.
✓ Install Mechanism
There is no install specification and no code files — the skill is instruction-only, which minimizes filesystem and execution risk.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths; this is proportionate for a static market analysis.
✓ Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges or modifications to other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install grey-goose
  3. After installation, invoke the skill by name or use /grey-goose
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Grey Goose skill v1.0.0 – Initial Release - 概述法国品牌Grey Goose如何打破俄罗斯对伏特加的品类垄断 - 详细历史时间线，包括创立、品牌扩张及百加得收购关键节点 - 剖析商业模式、品牌护城河及市场定位 - 总结关键数据和行业影响力 - 提供创始人与产品原材料的有趣事实
Metadata
Slug grey-goose
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Grey Goose?

分析灰雁伏特加如何凭借法国产区差异化和高端定价策略打破俄罗斯伏特加垄断。 It is an AI Agent Skill for Claude Code / OpenClaw, with 52 downloads so far.

How do I install Grey Goose?

Run "/install grey-goose" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Grey Goose free?

Yes, Grey Goose is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Grey Goose support?

Grey Goose is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Grey Goose?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments