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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 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install danyangliu-sandwichlab/ads-execution-hub

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/ads-execution-hub
Version
—
Commit
bad13826d4fbd1ec1fddb473586c72d910a60157
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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