Competitive Ads Extractor
CheckedThis skill extracts competitor ad creatives and strategies from public platforms, providing valuable insights for your own advertising campaigns.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add davila7/claude-code-templates --skill competitive-ads-extractor -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
davila7
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned davila7/claude-code-templates at 79182c51fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79182c51fb
- Scanned
- 1 file, 272 lines
About this skill
The competitive-ads-extractor skill enables AI agents to automatically discover and analyze competitor advertising strategies. It processes ad data to reveal specific targeting parameters, creative assets, and campaign performance metrics for market intelligence.
When to use it
- Identify which keywords competitors are bidding on in search engine marketing campaigns.
- Extract visual assets and copy variations used in social media advertisements.
- Analyze audience targeting settings to understand competitor demographic focus.
- Benchmark ad spend estimates against your own marketing budget planning.
Key capabilities
- Automated discovery of active competitor advertisements across platforms.
- Extraction of detailed campaign attributes including headlines, descriptions, and calls-to-action.
- Aggregation of performance data points such as impressions, clicks, and estimated cost-per-click.
- Structured output formatting for easy integration into reporting dashboards or spreadsheets.
Example prompts
- "Extract all active Google Ads for [Competitor Name] in the [Industry] sector and summarize their primary keyword strategy."
- "Analyze the top 5 Facebook ads used by [Brand X] to identify common visual themes and audience targeting parameters."
- "Generate a report on competitor ad spend estimates and creative variations for the [Product Category] niche based on recent search results."
Tips & gotchas
Ensure you have access to the necessary API keys or browser automation tools required to scrape ad platforms, as direct extraction may be restricted by platform policies. Always verify the accuracy of estimated metrics, as they are often derived from public data and may not reflect real-time internal campaign figures.