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ads-execution-hub

Ads Execution Hub control skill for ad campaign management and optimization across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP/programmatic.

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/ads-execution-hub

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

Ads Execution Hub

Purpose

Core mission:

  • Serve as the dedicated ad operations and optimization interface.
  • Manage planning, launch, monitoring, and scaling across ad channels.
  • Standardize decision policies for bidding, budget, and performance recovery.
  • Output clear operator actions for media teams.

When To Trigger

Use this skill when the user asks for:

  • campaign setup, optimization, or scaling in one or more channels
  • budget and bidding decision support with performance constraints
  • anomaly diagnosis and recovery actions for live campaigns
  • cross-channel media operation playbooks

High-signal keywords:

  • ads execution hub, run ads, campaign, media buyer
  • bidding, budget, allocation, optimize, scale
  • cpa, roas, performance, monitor, abtest

Input Contract

Required:

  • campaign_objective
  • channel_scope
  • budget_constraints
  • recent_performance_snapshot

Optional:

  • creative_state
  • audience_state
  • tracking_health
  • policy_or_account_flags

Output Contract

  1. Campaign Action Plan
  2. Bidding and Budget Policy
  3. AB Test and Scale Model
  4. Monitoring and Alert Plan
  5. Operator Handoff Checklist

Workflow

  1. Normalize objective and KPI constraints.
  2. Evaluate channel readiness and structure quality.
  3. Produce bid and allocation actions.
  4. Attach testing and scaling rules.
  5. Return monitoring triggers and operator checklist.

Decision Rules

  • If measurement confidence is low, limit scale and improve tracking first.
  • If ROAS is stable above threshold, allow staged budget increases.
  • If CPA is unstable, reduce concurrency of experiments.
  • If anomaly risk is high, prefer containment actions first.

Platform Notes

Primary scope:

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

Platform behavior guidance:

  • Keep channel recommendations execution-specific and auditable.
  • Align bid logic with each platform's optimization mechanics.

Constraints And Guardrails

  • No irrevers...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/ads-execution-hub
Version
—
Commit
bad13826d4fbd1ec1fddb473586c72d910a60157
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
# Ads Execution Hub

## Purpose
Core mission:
- Serve as the dedicated ad operations and optimization interface.
- Manage planning, launch, monitoring, and scaling across ad channels.
- Standardize decision policies for bidding, budget, and performance recovery.
- Output clear operator actions for media teams.

## When To Trigger
Use this skill when the user asks for:
- campaign setup, optimization, or scaling in one or more channels
- budget and bidding decision support with performance constraints
- anomaly diagnosis and recovery actions for live campaigns
- cross-channel media operation playbooks

High-signal keywords:
- ads execution hub, run ads, campaign, media buyer
- bidding, budget, allocation, optimize, scale
- cpa, roas, performance, monitor, abtest

## Input Contract
Required:
- campaign_objective
- channel_scope
- budget_constraints
- recent_performance_snapshot

Optional:
- creative_state
- audience_state
- tracking_health
- policy_or_account_flags

## Output Contract
1. Campaign Action Plan
2. Bidding and Budget Policy
3. AB Test and Scale Model
4. Monitoring and Alert Plan
5. Operator Handoff Checklist

## Workflow
1. Normalize objective and KPI constraints.
2. Evaluate channel readiness and structure quality.
3. Produce bid and allocation actions.
4. Attach testing and scaling rules.
5. Return monitoring triggers and operator checklist.

## Decision Rules
- If measurement confidence is low, limit scale and improve tracking first.
- If ROAS is stable above threshold, allow staged budget increases.
- If CPA is unstable, reduce concurrency of experiments.
- If anomaly risk is high, prefer containment actions first.

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

Platform behavior guidance:
- Keep channel recommendations execution-specific and auditable.
- Align bid logic with each platform's optimization mechanics.

## Constraints And Guardrails
- No irrevers...

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