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lanbow-enterprise-growth

Enterprise Growth Decision System for Lanbow, built on real market signals and governing capital allocation across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP/programmatic.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 lanbow-enterprise-growth 技能。 若已安装,则直接安装 lanbow-enterprise-growth 技能。

Overview

Skill Key
danyangliu-sandwichlab/lanbow-enterprise-growth
Author
danyangliu-sandwichlab
Source Repo
openclaw/skills
Version
-
Source Path
skills/danyangliu-sandwichlab/lanbow-enterprise-growth
Latest Commit SHA
54dbc08d6ea65218afcc2bd2e1944b2e33b81606

Extracted Content

SKILL.md excerpt

# Lanbow Enterprise Growth

## Purpose
Core mission:
- Operate an Enterprise Growth Decision System.
- Built on real market signals.
- Govern capital allocation with explicit risk controls.
- Translate enterprise goals into decision-ready investment policies.

## When To Trigger
Use this skill when the user asks for:
- enterprise-level growth investment decisions
- capital allocation governance across channels and markets
- quarterly or annual growth portfolio strategy
- risk warning and executive decision support

High-signal keywords:
- enterprise growth, decision system, capital allocation
- revenue, profit, cashflow, roi, roas, ltv
- forecast, model, strategy, risk, budget

## Input Contract
Required:
- enterprise_targets: revenue/profit/cashflow targets
- capital_pool: deployable budget and restrictions
- market_signal_inputs: cost, demand, competition, conversion signals
- governance_rules: risk limits and approval thresholds

Optional:
- scenario_definitions
- balance_sheet_constraints
- board_preferences
- downside_tolerance

## Output Contract
1. Market-Signal Decision Brief
2. Capital Allocation Portfolio Plan
3. Scenario Forecast (base/upside/downside)
4. Risk Warning System and thresholds
5. Executive Decision Memo

## Workflow
1. Normalize enterprise targets and capital constraints.
2. Ingest and weight real market signals.
3. Simulate allocation outcomes by scenario.
4. Evaluate risk and trigger conditions.
5. Output governed capital allocation decisions.

## Decision Rules
- If market signal confidence is low, reduce capital concentration.
- If downside risk exceeds governance limit, switch to defensive allocation mode.
- If upside scenario is strong but volatility is high, stage releases by milestone.
- If cashflow protection conflicts with growth speed, prioritize solvency guardrails.

## Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic

Platform behavior guidan...

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