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growth-autopilot-ads

Automate full-funnel strategy generation, budget structure design, and dynamic bid/scale adjustments for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP/programmatic campaigns.

danyangliu-sandwichlab0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install danyangliu-sandwichlab/growth-autopilot-ads

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Growth Autopilot

Purpose

Core mission:

  • Auto-generate full paid growth strategy from goals.
  • Auto-design budget and account structure.
  • Dynamically adjust bids and scale pace by performance signals.
  • Keep growth stable with guardrails and anomaly recovery rules.

When To Trigger

Use this skill when the user asks for:

  • automated growth strategy orchestration
  • auto budget split and dynamic optimization
  • autopilot decision loops for bidding and scaling
  • continuous monitoring and adjustment policies

High-signal keywords:

  • autopilot, automation, growth ai, growthbot
  • budget, bidding, allocation, optimize, scale
  • roas, cpa, revenue, performance, campaign

Input Contract

Required:

  • north_star_goal
  • budget_constraints
  • platform_scope
  • control_limits (max drawdown, min roas, etc.)

Optional:

  • warm_start_data
  • creative_inventory_state
  • seasonality_rules
  • escalation_contacts

Output Contract

  1. Autopilot Strategy Blueprint
  2. Budget and Structure Policy
  3. Dynamic Bid/Scale Rules
  4. Safety Guardrails and Kill-switches
  5. Monitoring and Escalation Workflow

Workflow

  1. Convert business goal to machine-actionable policy set.
  2. Initialize budget and structure by channel role.
  3. Apply adaptive bid and scale rules by KPI trend.
  4. Enforce guardrails and automatic rollback logic.
  5. Emit periodic optimization reports and next actions.

Decision Rules

  • If KPI drift exceeds tolerance, shift into conservative mode.
  • If confidence is low, reduce automation aggressiveness.
  • If anomaly severity is high, trigger partial or full freeze.
  • If recovery is confirmed, resume staged scale progression.

Platform Notes

Primary scope:

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

Platform behavior guidance:

  • Autopilot rules should be channel-specific but policy-governed centrally.
  • Keep bid logic aligned with platform optimization objective.

Constraints And Guardrails

  • Do not auto-...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/growth-autopilot-ads
Version
—
Commit
3a55288543de1032b86a9cb1dc938916c56d3329
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Growth Autopilot

## Purpose
Core mission:
- Auto-generate full paid growth strategy from goals.
- Auto-design budget and account structure.
- Dynamically adjust bids and scale pace by performance signals.
- Keep growth stable with guardrails and anomaly recovery rules.

## When To Trigger
Use this skill when the user asks for:
- automated growth strategy orchestration
- auto budget split and dynamic optimization
- autopilot decision loops for bidding and scaling
- continuous monitoring and adjustment policies

High-signal keywords:
- autopilot, automation, growth ai, growthbot
- budget, bidding, allocation, optimize, scale
- roas, cpa, revenue, performance, campaign

## Input Contract
Required:
- north_star_goal
- budget_constraints
- platform_scope
- control_limits (max drawdown, min roas, etc.)

Optional:
- warm_start_data
- creative_inventory_state
- seasonality_rules
- escalation_contacts

## Output Contract
1. Autopilot Strategy Blueprint
2. Budget and Structure Policy
3. Dynamic Bid/Scale Rules
4. Safety Guardrails and Kill-switches
5. Monitoring and Escalation Workflow

## Workflow
1. Convert business goal to machine-actionable policy set.
2. Initialize budget and structure by channel role.
3. Apply adaptive bid and scale rules by KPI trend.
4. Enforce guardrails and automatic rollback logic.
5. Emit periodic optimization reports and next actions.

## Decision Rules
- If KPI drift exceeds tolerance, shift into conservative mode.
- If confidence is low, reduce automation aggressiveness.
- If anomaly severity is high, trigger partial or full freeze.
- If recovery is confirmed, resume staged scale progression.

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

Platform behavior guidance:
- Autopilot rules should be channel-specific but policy-governed centrally.
- Keep bid logic aligned with platform optimization objective.

## Constraints And Guardrails
- Do not auto-...

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