competitive-ads-extractor
Analyze Competitor Ads and Messaging
Competitor ad research is difficult to organize across platforms and campaigns. This skill structures public ads into clear messaging, audience, format, and creative insights.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "competitive-ads-extractor" from https://skillstore.io/skills/davila7-competitive-ads-extractor.md and its manifest at https://skillstore.io/api/skills/davila7-competitive-ads-extractor/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "competitive-ads-extractor". Analyze six supplied ads from a project management competitor.
Expected outcome:
The analysis groups ads into collaboration, meeting reduction, and documentation themes, then distinguishes observed copy from inferred audience intent.
Using "competitive-ads-extractor". Compare public ads from three payroll platforms.
Expected outcome:
The comparison highlights shared compliance claims, distinct audience segments, repeated calls to action, and two messaging gaps for further testing.
Using "competitive-ads-extractor". Compare one competitor's first-quarter and second-quarter ad sets.
Expected outcome:
- Second-quarter ads place greater emphasis on automation.
- Video usage increased in the supplied sample.
- Performance conclusions require engagement or conversion data.
Security Audit
SafeAll 21 static findings are false positives caused by Markdown code fences in SKILL.md. The file contains prompt examples and analysis guidance, but no executable shell or Ruby commands, prompt injection, or malicious intent.
Risk Factors
⚙️ External commands (21)
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https://skillstore.io/skills/davila7-competitive-ads-extractor/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/davila7-competitive-ads-extractor?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/davila7-competitive-ads-extractor/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/davila7-competitive-ads-extractor.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
davila7. (2026). competitive-ads-extractor security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-competitive-ads-extractor/audits/9BibTeX citation
@techreport{davila7-davila7-competitive-ads-extractor-2026,
author = {davila7},
title = {competitive-ads-extractor security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/davila7-competitive-ads-extractor/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "competitive-ads-extractor security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-competitive-ads-extractor/audits/9"
identifiers:
- type: other
value: "skillstore:davila7-competitive-ads-extractor:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
dyai2025-competitive-ads-extractor
2026-08-21
composiohq-competitive-ads-extractor
2026-08-21
davila7-competitive-ads-extractor
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Plan Original Campaigns
Review competitor pain points and creative patterns before developing distinct campaign concepts.
Map Market Positioning
Compare how several brands describe value, audiences, and differentiation across public ads.
Build Creative Briefs
Turn observed formats, calls to action, and messaging gaps into evidence-based creative direction.
Try These Prompts
Analyze these current public ads from [competitor]. Summarize the main pain points, value propositions, audiences, formats, and calls to action.
Compare the supplied ads from [company A], [company B], and [company C]. Identify shared themes, distinct positioning, and underserved messaging opportunities.
Compare these [competitor] ads from [period one] and [period two]. Explain changes in audience, pain points, offers, creative formats, and calls to action.
Analyze this competitor ad set, separate observations from assumptions, and create three original campaign directions for [brand], with evidence and testing hypotheses.
Best Practices
- Provide source links, dates, platforms, and complete ad text for every item.
- Separate direct observations from performance assumptions and strategic interpretations.
- Use findings to create original campaigns that respect platform terms and intellectual property.
Avoid
- Do not claim an ad performs well based only on frequency or continued availability.
- Do not copy competitor headlines, designs, or protected creative assets.
- Do not collect private data or bypass platform access controls.