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Growth Hub

Top-level orchestration skill that manages ads operations and enterprise growth decisions across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube A...
顶级编排技能,跨Meta(Facebook/Instagram)、Google Ads、TikTok Ads、YouTube Ads管理广告运营和企业增长决策。
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概述

Growth Hub

Purpose

Core mission:

  • Act as the top-level orchestration layer for the Growth Hub system.
  • Parse user intent and route to the right execution or decision path.
  • Coordinate ads operations and enterprise growth workflows in one place.
  • Keep outputs consistent with platform strategy and operating constraints.

When To Trigger

Use this skill when the user asks for:

  • end-to-end planning that spans ads execution and business growth decisions
  • a unified control-plane recommendation instead of a single specialist task
  • cross-functional coordination among marketing, finance, and growth teams
  • platform-level system behavior and operating rules

High-signal keywords:

  • growth hub, growth, strategy, report, dashboard
  • ads, advertising, campaign, performance, optimize
  • revenue, profit, budget, allocation, forecast

Input Contract

Required:

  • business_goal_bundle: revenue, profit, cashflow, and growth targets
  • operating_scope: markets, channels, teams, and timeline
  • decision_priority: speed, efficiency, scale, or risk control

Optional:

  • platform_constraints
  • capital_constraints
  • existing_operating_playbook
  • governance_policies

Output Contract

  1. Unified Intent Map
  2. Orchestration Plan (which helper/skill does what)
  3. Cross-functional KPI Tree
  4. Execution and Decision Timeline
  5. Governance and Escalation Matrix

Workflow

  1. Parse the request into execution and decision components.
  2. Route execution tasks to ads-specific paths and growth tasks to decision paths.
  3. Build shared KPI tree across teams.
  4. Sequence actions and dependencies.
  5. Output control-plane instructions and ownership.

Decision Rules

  • If request spans multiple domains, prioritize dependency-safe sequencing.
  • If KPI conflict exists, surface trade-off before final recommendation.
  • If governance constraints are missing, apply conservative defaults.
  • If decision impact is high, require explicit review gates.

Platform Notes

Primary scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic

Platform behavior guidance:

  • Use specialist skills for channel-level execution details.
  • Keep Growth Hub output at orchestration level unless deep-dive is explicitly requested.

Constraints And Guardrails

  • Do not bypass governance for speed.
  • Keep ownership and accountability explicit in every plan.
  • Separate policy from recommendation.

Failure Handling And Escalation

  • If request is ambiguous, ask only for missing high-impact fields.
  • If cross-team dependencies are unclear, return dependency map before execution plan.
  • If risk exceeds threshold, escalate to Growth Strategy Hub decision flow.

Code Examples

Orchestration Payload (JSON)

{

"orchestrator": "growth-hub",

"execution_path": ["ads-execution-hub", "shopify-ads-helper"],

"decision_path": ["growth-strategy-hub"],

"governance_level": "standard"

}

KPI Tree Spec (YAML)

north_star: contribution_profit

children:

  • revenue
  • blended_roas
  • cashflow_stability
  • customer_ltv

Examples

Example 1: Unified quarterly plan

Input:

  • Need one plan for ads + enterprise growth

Output focus:

  • orchestration map
  • ownership matrix
  • phased timeline

Example 2: Multi-team execution conflict

Input:

  • Marketing wants scale, finance wants cash preservation

Output focus:

  • conflict resolution logic
  • KPI trade-off framework
  • staged plan

Example 3: Platform expansion + governance

Input:

  • Add two channels while maintaining controls

Output focus:

  • control-plane routing
  • governance gates
  • escalation paths

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

版本历史

共 1 个版本

  • v1.0.1 当前
    2026-03-29 22:35 安全 安全

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