Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Meta Ad Creatives
Track Meta (Facebook/Instagram) ad creative performance and hit rates across multiple accounts. Use when asked about creative win rates, which ads are hitting benchmarks, CPT/CPI/ROAS analysis, or comparing creative performance across accounts and time periods. Supports multiple benchmark metrics (CPT, CPI, IPM, ROAS) and currency conversion.
skill openclawclawhub Free
Track Meta (Facebook/Instagram) ad creative performance and hit rates across multiple accounts. Use when asked about creative win rates, which ads are hitting benchmarks, CPT/CPI/ROAS analysis, or comparing creative performance across accounts and time periods. Supports multiple benchmark metrics (CPT, CPI, IPM, ROAS) and currency conversion.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- accounts_config.example.json, SKILL.md, scripts/meta_ad_creatives.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- fortytwode
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Meta Ad Creatives
Track creative performance and hit rates across multiple Meta Ads accounts.
What This Skill Does
Calculate hit rates (% of creatives meeting performance benchmarks) Track multiple metrics: CPT (cost per trial), CPI (cost per install), IPM (installs per mille), ROAS Compare performance across multiple accounts Store historical data for trend analysis Identify winning creatives vs underperformers Support currency conversion for international accounts
1. Environment Variables
FACEBOOK_ACCESS_TOKEN=your_token_here FACEBOOK_APP_ID=your_app_id FACEBOOK_APP_SECRET=your_app_secret
2. Accounts Configuration
Create accounts_config.json: { "accounts": { "ClientName": { "account_id": "123456789", "filter": "CampaignNameFilter", "geo_filter": "US", "benchmark_value": 100, "benchmark_display": "CPT < $100", "active": true } } } Configuration fields: account_id: Meta Ad Account ID (without act_ prefix) filter: Campaign name filter (optional) geo_filter: Geographic filter like "US" (optional) benchmark_value: CPT threshold for "winning" creatives benchmark_display: Human-readable benchmark description
Get Hit Rates for Current Month
from scripts.meta_ad_creatives import get_all_hit_rates data = get_all_hit_rates(month_offset=0) print(f"Overall hit rate: {data['totals']['hit_rate']}%") for account in data['accounts']: print(f" {account['account_name']}: {account['hit_rate']}%")
Get Hit Rates for Previous Months
# Last month data = get_all_hit_rates(month_offset=-1) # Two months ago data = get_all_hit_rates(month_offset=-2)
Get All-Time Aggregated Data
data = get_all_hit_rates(all_time=True)
Get Individual Ad Performance
from scripts.meta_ad_creatives import get_individual_ads # All ads for an account ads = get_individual_ads(account_name="ClientName", month_key="2026-01") # Only winning ads winners = get_individual_ads(account_name="ClientName", hit_only=True) # Sort by CPT ads = get_individual_ads(sort_by="cpt")
Monthly Comparison
from scripts.meta_ad_creatives import get_monthly_comparison # Compare last 3 months months = get_monthly_comparison(num_months=3) for month in months: print(f"{month['month_label']}: {month['totals']['hit_rate']}%")
Key Metrics
MetricDescriptionTotal AdsAds created in the periodAds with SpendAds that received budgetAds Hitting BenchmarkAds meeting CPT thresholdHit Rate% of ads meeting benchmarkCPTCost Per Trial (spend / trials)
Hit Rate Calculation
A creative "hits" the benchmark when: It has spend > $0 It has trials > 0 CPT < benchmark_value (e.g., $100) Hit Rate = (Ads Hitting Benchmark / Ads with Spend) × 100
Data Storage
The skill stores historical data for trend analysis: Firestore (default for cloud deployments) SQLite (local fallback) Set USE_FIRESTORE=false to use SQLite locally.
Common Questions This Answers
"What's our creative hit rate this month?" "Which creatives are winning for [Client]?" "How does this month compare to last month?" "Show me all ads that hit the benchmark" "What's our all-time hit rate?"
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config
- SKILL.md
- scripts/meta_ad_creatives.py
- accounts_config.example.json