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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 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-autopilot-ads

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 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-...

Source information

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/growth-autopilot-ads
Version
—
Commit
3a55288543de1032b86a9cb1dc938916c56d3329
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 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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