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