competitor-ad-monitor

Collect competitor Meta and TikTok ads nightly into a raw dataset.

1|Updated Feb 6, 2026

Search Tags:#data ingestion #apify #meta ads #marketing intelligence #tiktok ads #agent migration #competitor ads

Ready to run

npx skills add https://github.com/williamsforeal/Cyclone-SS --skill competitor-ad-monitor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competitor-ad-monitor
Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/global-skills/_deferred/competitor-ad-monitor
Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill competitor-ad-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Competitor-ad-monitor helps teams stop guessing what competitors are advertising by automating the nightly collection of competitor Meta and TikTok ad creatives into a structured raw dataset for later analysis or migration.

Core Features & Use Cases

Nightly competitor ad ingestion: Pulls competitor ads from Apify on a recurring schedule and stores them in a consistent raw competitors location for downstream processing.
DTC brand brain raw dumps: Writes outputs into a raw data area suitable for training, review, or analytics pipelines.
Migration target for Managed Agents: Produces a dataset aligned to future managed-agent ingestion so the monitoring data can be moved into the next system with minimal rework.

Quick Start

Ask the system for instructions to build and fully implement the competitor-ad-monitor skill by following Cyclone-SS/skills-registry.md and the checklist in _buildlist.md before attempting any nightly job behavior.

Frequently Asked Questions about competitor-ad-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate nightly collection of competitor Meta and TikTok ads?▼

To automate nightly collection of competitor Meta and TikTok ads, this Skill pulls ad creatives via Apify on a recurring schedule and stores them in a structured raw competitors dataset for downstream analytics processing.

What is a raw competitors dataset for marketing intelligence?▼

A raw competitors dataset for marketing intelligence is a structured data dump of competitor ad creatives. This Skill writes nightly Apify pulls into a DTC-brand-brain raw data area for review, training, or analytics pipelines.

Do I need Apify to monitor competitor ads on a recurring schedule?▼

Yes, you need Apify to monitor competitor ads with this Skill. The automated nightly ingestion relies on documented Apify integrations and requires specific environment variables to pull Meta and TikTok ad data successfully.

How do I prep marketing intelligence data for managed-agent migration?▼

To prep marketing intelligence data for managed-agent migration, this Skill produces a dataset aligned to future managed-agent ingestion. It outputs raw competitor ads to minimize rework when moving data into the next pipeline.

Can I use this for scheduled data refreshes of competitor ad creatives?▼

Yes, you can use this for scheduled data refreshes of competitor ad creatives. The Skill applies to marketing intelligence monitoring workflows by automating recurring nightly pulls from Meta and TikTok into a consistent raw data location.

What are the limitations of automating competitor ad ingestion?▼

A limitation of automating competitor ad ingestion is that this Skill requires a fully implemented non-stub definition with trigger mapping. You must configure external dependencies like Apify and environment variables before attempting nightly job behavior.