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ads-meta广告元

Agent Skill

ads-meta 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

11,280

周安装

470

GitHub Stars

3,709

下载量

3,760
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:ads-meta(广告元)
来源仓库:https://github.com/agricidaniel/claude-ads
仓库路径:skills/ads-meta
安装命令:
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-meta
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/agricidaniel/claude-ads --skill ads-meta

简介

ads-meta 对 Meta Ads 账户执行深度分析,聚焦 Andromeda AI 引擎下的创意多样性要求。

  • 适用于 Meta 平台广告优化,强调相似度抑制规则与高区分度创意的重要性。
  • 评估 50 项指标并输出加权健康分数,结合 EMQ 得分与平台基准进行诊断。
  • 需导入 Ads Manager 数据与 Events Manager 截图,确保数据完整性。
  • 建议优先测试差异化创意而非大量变体,以提升算法推荐概率。

SKILL.md

Meta Ads Deep Analysis

Andromeda AI Engine

Meta's Andromeda AI engine (Oct 2025) filters ads using 10,000x more complex models. Creative diversity is now the #1 performance lever. Ads with Similarity Score >60% get retrieval suppression. The algorithm clusters near-identical creatives and limits their delivery. 100 minor variations perform no better than 10. Prioritize genuinely distinct concepts, angles, and formats over volume of similar variants.

Process

  1. Collect Meta Ads data (Ads Manager export, Events Manager screenshot, EMQ scores)
  2. Read ads/references/meta-audit.md for full 50-check audit
  3. Read ads/references/benchmarks.md for Meta-specific benchmarks
  4. Read ads/references/scoring-system.md for weighted scoring
  5. Evaluate all applicable checks as PASS, WARNING, or FAIL
  6. Calculate Meta Ads Health Score (0-100)
  7. Generate findings report with action plan

What to Analyze

Pixel / CAPI Health (30% weight)

  • Meta Pixel installed and firing on all pages
  • Conversions API (CAPI) active (30-40% data loss without it post-iOS 14.5)
  • Event deduplication configured (event_id matching, ≥90% dedup rate)
  • Event Match Quality (EMQ) ≥8.0 for Purchase event
  • All standard events configured (ViewContent, AddToCart, Purchase, Lead)
  • Custom conversions created for non-standard events
  • Aggregated Event Measurement (AEM) configured for iOS
  • Domain verification completed
  • Server-side events include customer_information parameters
  • Pixel fires with correct currency and value parameters

Creative (30% weight)

  • ≥3 creative formats active (image, video, carousel, collection)
  • ≥5 creatives per ad set (Meta recommendation)
  • Creative fatigue detection: CTR drop >20% over 14 days = FAIL
  • Video creative: 15s max for Stories/Reels, 30s max for Feed
  • UGC/testimonial creative tested
  • Dynamic Creative Optimization (DCO) tested
  • Ad copy: headline under 40 chars, primary text under 125 chars
  • Creative refresh cadence: every 2-4 weeks for high-spend

Account Structure (20% weight)

  • Campaign Budget Optimization (CBO) vs Ad Set Budget (ABO) intentional
  • Campaign consolidation: 1-3 campaigns total recommended
  • Learning phase health: <30% ad sets in "Learning Limited" (FAIL >50%)
  • Budget per ad set: ≥5x target CPA (minimum for learning phase exit)
  • Ad set audience overlap <30% (Audience Overlap tool)
  • Campaign naming conventions consistent and descriptive
  • Advantage+ Sales Campaigns active for e-commerce
  • Simplified campaign structure: 1-3 campaigns total (fewer, larger ad sets preferred)

Audience & Targeting (20% weight)

  • Prospecting frequency (7-day): <3.0 (WARNING 3-5, FAIL >5)
  • Retargeting frequency (7-day): <8.0 (WARNING 8-12, FAIL >12)
  • Custom Audiences: website visitors, customer lists, engagement
  • Lookalike Audiences: multiple seed sizes tested (1%, 3%, 5%)
  • Advantage+ Audience tested vs manual targeting
  • Interest targeting: broad enough for algorithm optimization
  • Exclusions: purchasers excluded from prospecting, overlap managed
  • Location targeting reviewed for relevance

Advantage+ Assessment

If Advantage+ features are in use:

  • Advantage+ Sales Campaigns: catalog connected, existing customer cap set
  • Advantage+ Audience: performance vs manual audience compared
  • Advantage+ Creative: enhancements enabled (text, brightness, music)
  • Advantage+ Placements: enabled (let Meta optimize placement mix)
  • Budget allocation: Advantage+ campaigns getting fair test budget

Special Ad Categories

If ads are in restricted categories:

  • Special Ad Category declared before campaign creation
  • Targeting restrictions verified (no ZIP, age 18-65+ only, no Lookalike)
  • Creative compliance with category-specific policies
  • Read ads/references/compliance.md for full requirements

EMQ Optimization Guide

EMQ ScoreStatusAction
8.0-10.0ExcellentMaintain current setup
6.0-7.9GoodAdd more customer_information parameters
4.0-5.9FairImplement CAPI, improve data quality
<4.0PoorCritical: CAPI + Enhanced Matching required

Key parameters to maximize EMQ:

  • em (email): highest match rate signal
  • ph (phone): second highest match signal
  • fn, ln (first/last name): improves match accuracy
  • ct, st, zp (city, state, zip): geographic matching
  • external_id: CRM/user ID for cross-device matching

Key Thresholds

MetricPassWarningFail
EMQ (Purchase)≥8.06.0-7.9<6.0
Dedup rate≥90%70-90%<70%
CTR≥1.0%0.5-1.0%<0.5%
Creative formats≥321
Creatives per ad set≥53-4<3
Learning Limited<30%30-50%>50%
Budget per ad set≥5x CPA2-5x CPA<2x CPA

Output

Meta Ads Health Score

Meta Ads Health Score: XX/100 (Grade: X)

Pixel / CAPI Health: XX/100  ████████░░  (30%)
Creative:            XX/100  ██████████  (30%)
Account Structure:   XX/100  ███████░░░  (20%)
Audience:            XX/100  █████░░░░░  (20%)

Deliverables

  • META-ADS-REPORT.md: Full 50-check findings with pass/warning/fail
  • EMQ improvement roadmap
  • Creative fatigue alerts (any creative with CTR declining >20%)
  • Quick Wins sorted by impact
  • Advantage+ adoption recommendations

Threads Placement

Threads placement GA Jan 2026, 400M+ MAU. Lower CPMs than Feed/Stories. Currently ~0.04% of total spend. Emerging channel. Evaluate:

  • Is Threads placement enabled in Advantage+ Placements?
  • Monitor CPM and engagement vs other placements
  • Early-mover advantage for brands with active Threads presence

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

能力 1

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能力 2

展示可复制的安装命令

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

36.36%
按下载量换算1,367

Claude

29.56%
按下载量换算1,111

Cursor

16.59%
按下载量换算624

Gemini CLI

9.49%
按下载量换算357

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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