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meta-ads-weekly-performance元广告每周效果

Agent Skill

meta-ads-weekly-performance 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

3,770

周安装

154

GitHub Stars

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下载量

1,207
OpenClaw

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

MIT-0

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-weekly-performance(元广告每周效果)
来源仓库:https://github.com/elias-didoo/meta-ads-weekly-performance
安装命令:
openclaw skills install meta-ads-weekly-performance
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install meta-ads-weekly-performance

简介

生成结构化每周绩效报告,回顾变化并识别改进机会。

  • 适合周期性复盘时使用以对齐团队目标进展。meta-ads-weekly-performance 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 自动对比历史周期突出显著波动项供深入讨论。
  • 需提前配置好数据拉取时间窗口与过滤规则。
  • 原始模板支持自定义字段添加满足个性化需求。

SKILL.md

name
meta-ads-weekly-performance
description
[Didoo AI] Generates a structured weekly performance report for Meta Ads accounts. Use at the end of each week to review performance, explain changes, and identify what needs attention. Pairs with meta-ads-daily-pulse for daily context.
homepage
https://didoo.ai/blog
metadata

Required Credentials

CredentialWhere to GetUsed ForOAuth Scope
META_ACCESS_TOKENMeta Developer Console → Graph API Explorer → Generate TokenFetching account and campaign insightsads_read (read-only)
META_AD_ACCOUNT_IDAds Manager URL: adsmanager.facebook.com/act_XXXXXXXXXIdentifying which account to query

When to Use

At the end of each week (every Monday) for ongoing campaigns. Also use after a significant change (new campaign launch, major budget shift, creative swap) to document the impact.


Requirements

  • account_id (required)
  • date_range: last_7d (default)

Step 1: Pull KPI Snapshot

Fetch account and campaign level metrics for this week and prior week:

  • Spend, results, cost per result
  • ROAS, conversion values
  • CTR, CPM, CPC
  • Frequency

Calculate week-over-week (WoW) change for each metric: WoW = (This Week − Prior Week) / Prior Week × 100


Step 2: Identify What Changed

Write 3-5 bullets explaining the biggest moves this week.

Format: "[What changed] — [Spend/ROAS/Revenue impact]"

Examples:

  • "Increased budget on Pizza Campaign by 30% — spend up $1,200, ROAS held at 3.2x"
  • "Creative rotation on Runner Audience — CTR up 0.8pp, CPL down $2.40"

Step 3: Identify Performance Drivers

Identify the top 3 things driving results this week.

For each driver write one sentence with specific metrics: Format: "[What drove results] – [Spend], [ROAS], [Revenue impact vs last week]"


Step 4: Detect Issues

Run issue detection:

  • Campaigns with ROAS drop > 30% vs prior week
  • Campaigns with spend > budget but low conversion rate
  • New campaigns still in Learning Phase
  • Frequency > 4 on any campaign

Step 5: Format Output

Key Metrics Snapshot

MetricThis WeekPrior WeekWoW Change
Spend
ROAS
Conversions
CPA

What Changed This Week

  • [3-5 bullets]

Performance Drivers

  • [3 bullets]

Issues and Actions Required

  • [3 urgent issues, each with problem/solution format]

Rules

  • No executive summary
  • Specific numbers on every line
  • Separate problem from solution clearly in each issue
  • This is a reporting tool — recommendations route to meta-ads-recommendation

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

按任务关键词查找相关 Skills

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

89.25%
按下载量换算1,077

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

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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