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meta-ads-campaign-builder元广告活动构建器

Agent Skill

meta-ads-campaign-builder 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

685

周安装

28

GitHub Stars

636

下载量

222
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meta-ads-campaign-builder(元广告活动构建器)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/meta-ads-campaign-builder
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill meta-ads-campaign-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athina-ai/goose-skills --skill meta-ads-campaign-builder

简介

meta-ads-campaign-builder 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配或来源线索梳理等研究检索类工作。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,注意是否涉及联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Meta Ads Campaign Builder

Build a complete Meta Ads campaign structure — targeting, ad sets, placements, copy framework, and budget allocation. This skill handles the strategic architecture that determines whether a campaign succeeds before a single ad runs.

Core principle: The biggest Meta Ads mistake startups make is boosting a post and calling it a campaign. Proper campaign structure — objective selection, audience layering, placement optimization, and testing framework — is what separates burning money from building pipeline.

When to Use

  • "Set up Meta Ads for our product"
  • "Build a Facebook/Instagram ad campaign"
  • "Help me structure a Meta campaign"
  • "I want to run ads on Facebook — where do I start?"
  • "Create a Meta Ads plan for [product launch / lead gen / awareness]"

Phase 0: Intake

  1. Product name + URL — What are we advertising?
  2. Campaign objective:

- Awareness (brand reach) - Traffic (website visits) - Lead Generation (in-platform lead forms) - Conversions (website sign-ups / purchases) - App Installs

  1. ICP — Target buyer: role, company size, industry, pain points
  2. Monthly budget — How much for Meta specifically?
  3. Landing page(s) — Where will traffic go?
  4. Competitor names — For audience analysis
  5. Existing Meta Pixel / Conversions API? — Tracking setup status
  6. B2B or B2C? — Changes targeting strategy significantly

Phase 1: Campaign Architecture

1A: Objective Selection

Business GoalMeta ObjectiveWhy
"Get demos/leads"Lead Generation OR ConversionsLead Gen = in-app forms (higher volume, lower quality). Conversions = website (lower volume, higher quality)
"Drive free trial sign-ups"ConversionsOptimize for on-site conversion event
"Build awareness for launch"Awareness (Reach)Maximize eyeballs in target audience
"Retarget website visitors"ConversionsBring warm traffic back to convert
"Drive traffic to content"TrafficOptimize for clicks to blog/resource

1B: Campaign Structure

Campaign: [Product Name] — [Objective]
├── Ad Set 1: [Audience — Prospecting: Interest-Based]
│   ├── Ad 1: [Primary creative variant]
│   ├── Ad 2: [Secondary creative variant]
│   └── Ad 3: [Tertiary creative variant]
├── Ad Set 2: [Audience — Prospecting: Lookalike]
│   ├── Ad 1-3: [Same creative variants]
├── Ad Set 3: [Audience — Retargeting: Website Visitors]
│   ├── Ad 1-3: [Retargeting-specific creative]
└── Ad Set 4: [Audience — Retargeting: Engagement]
    └── Ad 1-3: [Engagement retargeting creative]

1C: Competitor Ad Research (Optional)

If competitors were provided, check what they're running on Meta:

web_search: site:facebook.com/ads/library "[competitor name]"
web_search: "[competitor name]" Meta Ads examples

The Meta Ad Library (facebook.com/ads/library) is publicly accessible — search for competitor pages to see their active ads, formats, and messaging angles. Use findings to inform copy angles and audience strategy.

Phase 2: Audience Strategy

2A: Prospecting Audiences

Interest-Based Targeting:

Research relevant interests, behaviors, and demographics:

web_search: [product category] Meta Ads targeting options
web_search: [ICP role] Facebook ad audience interests

Build audience layers:

LayerTargetingRationale
Job title / Industry[Specific titles, industries]Direct ICP match
Interests[Tools they use, publications they read, topics they follow]Behavioral proxy
Behaviors[Business decision makers, technology early adopters, etc.]Meta behavioral data
Demographics[Age range, education, income (if B2C)]Narrowing

Audience size target: 500K-2M for prospecting (smaller = expensive, larger = diluted)

Lookalike Audiences:

SourceLookalike %Rationale
Customer list (emails)1%Closest match to actual buyers
Website converters (Pixel)1%People who took action
Website visitors (Pixel)1-3%Broader interest signal
Page engagers3-5%Widest cold audience

2B: Retargeting Audiences

AudienceWindowPurpose
All website visitors30 daysBroad retarget
Visited pricing/demo page14 daysHigh intent — push to convert
Engaged with ads (no click)30 daysAwareness → consideration
Video viewers (50%+)30 daysWarmed but not clicked
Lead form openers (not submitted)14 daysAbandoned lead capture

2C: B2B-Specific Adjustments

B2B targeting on Meta is harder. Recommended approach:

  1. Upload customer email lists → Build lookalikes (best B2B signal)
  2. Layer interests with behaviors — "Business decision makers" + "[specific software interest]"
  3. Use LinkedIn for precision targeting — Meta for retargeting/awareness
  4. Exclude broad audiences — No one under 25, exclude students, exclude job seekers (unless relevant)

Phase 3: Ad Copy Framework

Per Placement, Generate Copy Structure

PlacementHeadline LimitPrimary Text LimitNotes
Feed (FB + IG)40 chars125 chars visible (500 max)Most versatile
Stories (FB + IG)40 charsMinimal text — visual-firstCTA button matters most
ReelsOverlay text onlyHook in first 3 secondsVideo required
Right column (FB)40 charsShortDesktop only — cheap impressions
Audience Network40 chars90 charsLower quality traffic

Copy Framework Per Ad

ElementFrameworkExample
Primary text[Hook → Pain/Outcome → Proof → CTA]"Still prospecting manually? [Product] finds qualified leads while you sleep. 500+ teams use it. Try free →"
Headline[Direct benefit or action]"Automate Your Outbound in 5 Min"
Description[Support or specificity]"No credit card required. Cancel anytime."
CTA button[Match to objective]Learn More / Sign Up / Get Started / Book Demo

Generate 3-5 Ad Copy Variants Per Ad Set

VariantAnglePrimary Text HookHeadline
1Pain"[Pain point question]""[Solution benefit]"
2Outcome"[Result promise]""[Specific metric]"
3Social proof"[Customer result + name]""[Join X teams]"
4Contrarian"[Myth busting]""[Unexpected claim]"
5Product-led"[Feature highlight]""[Feature → benefit]"

Phase 4: Budget & Bidding

Budget Allocation

Budget TierProspectingRetargetingTesting
< $1K/mo60%30%10%
$1K-5K/mo50%30%20%
$5K+/mo45%25%30%

Bidding Strategy

ObjectiveRecommended Bid StrategyWhen to Switch
ConversionsLowest Cost (start) → Cost Cap (after 50 conversions)Once you have conversion data
Lead GenLowest CostUsually sufficient for lead forms
TrafficLowest Cost per ClickKeep it simple
AwarenessLowest Cost per 1K ImpressionsMaximize reach

Learning Phase

Critical: Each ad set needs ~50 conversions/week to exit learning phase. If your budget can't support that:

  • Consolidate ad sets (fewer, larger audiences)
  • Use an earlier funnel event as the optimization target (e.g., "Add to Cart" instead of "Purchase")
  • Start with Traffic or Landing Page Views objective, switch to Conversions later

Phase 5: Output Format

# Meta Ads Campaign Plan — [Product Name] — [DATE]

## Campaign Overview
- **Objective:** [Selected objective]
- **Monthly budget:** $[X]
- **Target audience:** [ICP summary]
- **Geographic targeting:** [Countries/regions]
- **Placements:** [Automatic / Manual selection]
- **Conversion event:** [What we're optimizing for]

---

## Campaign Structure

[Visual tree]

---

## Audience Targeting

### Ad Set 1: [Name — e.g., "Interest-Based Prospecting"]
- **Audience size:** ~[N]
- **Interests:** [List]
- **Behaviors:** [List]
- **Demographics:** [Age, etc.]
- **Exclusions:** [Existing customers, recent converters]
- **Budget:** $[X]/day

### Ad Set 2: [Lookalike]
...

### Ad Set 3: [Retargeting — Website]
...

---

## Ad Copy

### Ad Set 1 — Ad Variant 1: [Angle Name]
- **Primary text:** "[Copy]"
- **Headline:** "[Copy]"
- **Description:** "[Copy]"
- **CTA:** [Button]
- **Landing page:** [URL]

### Ad Variant 2: ...

---

## Budget & Bidding
[Allocation table + strategy]

---

## Tracking Setup Checklist
- [ ] Meta Pixel installed on all landing pages
- [ ] Conversion events configured (lead, purchase, etc.)
- [ ] Conversions API connected (if server-side tracking)
- [ ] UTM parameters set for GA4 tracking
- [ ] Custom audiences created (website visitors, customer list)
- [ ] Lookalike audiences built

---

## Launch Checklist
- [ ] Campaign structure created in Ads Manager
- [ ] All ad copy uploaded with correct placements
- [ ] Audiences configured with proper exclusions
- [ ] Daily budget caps set
- [ ] A/B test structure confirmed (one variable per test)
- [ ] Conversion tracking verified (test conversion fired)
- [ ] Campaign set to start on [date]

---

## Week 1-2 Monitoring Plan
- Day 1-3: Check delivery — are ads spending? Any disapprovals?
- Day 4-7: Review CTR and CPC — are we in range?
- Day 7-14: First conversion data — any ad set clearly winning/losing?
- Day 14: First optimization pass — pause losers, scale winners

Save to meta-campaign-plan-[YYYY-MM-DD].md in the current working directory (or user-specified path).

Cost

ComponentCost
Audience research (web search)Free
Competitor ad research (web search)Free
Copy generation + structureFree (LLM reasoning)
TotalFree

Tools Required

  • web_search — for audience research, targeting ideas, and competitor ad research via Meta Ad Library

Trigger Phrases

  • "Build a Meta Ads campaign for [product]"
  • "Set up Facebook Ads for us"
  • "Create an Instagram ad campaign"
  • "Help me structure Meta Ads for lead gen"
  • "Plan a Facebook campaign for our launch"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.66%
按下载量换算81

Claude

31.92%
按下载量换算71

Cursor

17.97%
按下载量换算40

Gemini CLI

8.94%
按下载量换算20

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