- name
- growth-strategy-hub
- description
- 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.
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
- Market-Signal Decision Brief
- Capital Allocation Portfolio Plan
- Scenario Forecast (base/upside/downside)
- Risk Warning System and thresholds
- Executive Decision Memo
Workflow
- Normalize enterprise targets and capital constraints.
- Ingest and weight real market signals.
- Simulate allocation outcomes by scenario.
- Evaluate risk and trigger conditions.
- 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:
- Use platform outputs as market signals, not isolated KPIs.
- Keep final decisions at portfolio allocation level.
Constraints And Guardrails
- Never present speculative outputs as deterministic outcomes.
- Keep capital governance explicit and auditable.
- Separate strategic recommendation from execution details.
Failure Handling And Escalation
- If signal quality is inconsistent, provide confidence bands and data remediation needs.
- If governance rules are missing, apply strict default risk policy.
- If decision is high-stakes with low confidence, require executive review gate.
Code Examples
Capital Allocation Scenario (YAML)
decision_system: growth_strategy_hub horizon: Q4-2026 capital_pool: 1800000 allocations: Meta: 0.28 GoogleAds: 0.26 TikTokAds: 0.14 AmazonAds: 0.12 DSP: 0.20 risk_mode: balanced
Risk Warning Rule (JSON)
{ "trigger": "blended_roas_below_floor", "floor": 2.1, "window_days": 7, "action": "freeze_incremental_capital" }
Examples
Example 1: Capital portfolio reset
Input:
- Need to rebalance channel spend with stricter risk policy
Output focus:
- new allocation portfolio
- scenario impacts
- governance gates
Example 2: High-growth vs cashflow conflict
Input:
- Aggressive growth target with limited cash buffer
Output focus:
- trade-off framework
- staged capital release
- risk warning thresholds
Example 3: Board decision support
Input:
- Quarterly enterprise growth review
Output focus:
- decision memo
- signal-backed recommendations
- contingency plan
Quality Checklist
- [ ] Required sections are complete and non-empty
- [ ] Trigger keywords include at least 3 registry terms
- [ ] Input and output contracts are operationally testable
- [ ] Workflow and decision rules are capability-specific
- [ ] Platform references are explicit and concrete
- [ ] At least 3 practical examples are included