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growth-strategy-hub

Enterprise Growth Decision System 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.

danyangliu-sandwichlab0 source installs☆ 0 Repository stars

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 danyangliu-sandwichlab/growth-strategy-hub

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

Growth Strategy Hub

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 guidance: -...

Source information

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/growth-strategy-hub
Version
—
Commit
b351f40b2589a26c94d1ab2acf38c3f6e0ad5ecb
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
# Growth Strategy Hub

## 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 guidance:
-...

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