What It Does
Researching Competitor Ads packages a focused media & files workflow for an AI agent. Analyzes the ads competitors are running — the ones live now, the ones they have already stopped, and which have run longest. Watches the video ads and reads the image ads with a vision model, so every finding comes from the ad itself rather than its caption. Finds the patterns across the set — what is holding, what was dropped, and what nobody runs. Research only — nothing is generated or recommended here. Use when the user wants competitor ads researched, an ad teardown, a competitive or category analysis, to see what ads a named brand is running, or to find what is working and what nobody has tried yet. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Popular Use Cases
- Create or edit a common file format
- Extract information from uploaded files
- Convert content into a polished deliverable
- Automate repetitive media operations
Install this Agent Skill
Claude Code
npx skills add https://github.com/SupercmoHQ/superCMO-skills --skill researching-competitor-adsCommands derived from the public GitHub SKILL.md record. Checked 2026-09-18. Review the source before running them.
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Why It’s Popular
Researching Competitor Ads is a verified Agent Skill from SupercmoHQ with a public SKILL.md, compatible with Claude Code, Codex.
