Meta Ads Weekly Performance Report for Openclaw

An automated reporting tool that generates structured weekly KPI snapshots and trend analysis for Meta Ads accounts.

elias-didoo
v1.1.0
Apr 16, 2026
1
924
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install meta-ads-weekly-performance

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install meta-ads-weekly-performance using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Meta Ads Weekly Performance Report?

The Meta Ads Weekly Performance skill is a specialized tool designed for growth marketers and media buyers who need to synthesize large amounts of advertising data into actionable intelligence. By leveraging Openclaw Skills, this tool automates the tedious process of manual data extraction and week-over-week calculation, allowing developers and marketers to focus on strategic pivots rather than spreadsheet management.

This skill provides a rigorous framework for reviewing account health, identifying significant budget shifts, and documenting creative impact. It functions as a bridge between raw Meta Graph API data and high-level performance narratives, ensuring that every report is backed by specific metrics rather than subjective observations.

Meta Ads Weekly Performance Report Use Cases

  • Conducting Monday morning performance reviews for ongoing Meta Ads campaigns.
  • Auditing the immediate impact of major budget shifts or creative rotations.
  • Providing structured performance updates to stakeholders or clients.
  • Documenting campaign scaling progress and ROAS stability over 7-day windows.

How Meta Ads Weekly Performance Report Works

  1. The skill authenticates with the Meta Graph API using provided access tokens and account identifiers.
  2. It pulls a KPI snapshot for both the current and previous 7-day periods, covering spend, ROAS, CTR, and frequency.
  3. It calculates the week-over-week (WoW) percentage change for all core metrics to establish performance trends.
  4. It runs a heuristic scan to identify significant moves, such as budget changes or creative performance swings.
  5. It performs issue detection to flag high frequency, ROAS drops, or campaigns stuck in the Learning Phase.
  6. It generates a standardized Markdown report containing the metric table, change bullets, and required actions.

Meta Ads Weekly Performance Report Setup

To utilize this skill, ensure you have the necessary environment variables configured. This Openclaw Skills implementation requires read-access to the Meta Ads API.

# Export the required Meta credentials
export META_ACCESS_TOKEN="your_graph_api_token"
export META_AD_ACCOUNT_ID="act_your_account_id"

# Run the performance report skill
# The default date_range is last_7d
openclaw run meta-ads-weekly-performance --account_id $META_AD_ACCOUNT_ID

Meta Ads Weekly Performance Report Data Schema & Taxonomy

The skill processes and outputs data based on a strict comparative taxonomy:

Data Group Fields Included Metric Type
Core KPIs Spend, Conversions, ROAS, CPA Comparative (This Week vs Prior)
Engagement CTR, CPC, CPM Efficiency Metric
Delivery Frequency, Learning Phase Status Health Indicator
WoW Changes Percentage delta for all KPIs Trend Analysis

All output is formatted into structured Markdown tables and bulleted lists for easy consumption by other AI agents or human managers.

Meta Ads Weekly Performance Report Advanced Features

  • Automated WoW calculation using the formula: $$WoW = (This Week - Prior Week) / Prior Week * 100$$
  • Cross-skill compatibility: Designed to pair with meta-ads-daily-pulse for granular context and meta-ads-recommendation for tactical next steps.
  • Intelligent issue detection for campaigns with frequency thresholds over 4 or ROAS drops exceeding 30%.
  • Learning Phase monitoring to identify under-optimized ad sets requiring intervention.

SKILL.md


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