Content & Marketing · IN-DEPTH PROFILE

Competitor Ad Intelligence Skill

Evidence-led analysis of public paid ads, creative patterns, landing pages, funnels, and market gaps.

View listed source ↗Installation guide ↓
Best for

Paid-growth and creative strategy teams

What you get

Collect public ads + Cluster strategy

Main limitation

Public libraries can be incomplete, personalized, delayed, region-limited, or hard to scrape.

First risk

Unsupported performance inference. The workflow may treat long-running ads or high volume as signs of success even though spend and conversion data are private. Label every inference, preserve collection dates, and avoid claiming competitor performance.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-09-24

Pinned revision · 1f564408

Open pinned commit ↗
SkillSignal profileEditorial metadata

Updated 2026-09-24

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

IN PLAIN ENGLISH

What it does—and when it fits

Competitor Ad Intelligence is a GitHub Awesome Copilot workflow for analyzing public Meta and Google ads, creative hooks, formats, calls to action, landing-page message match, campaign clusters, and possible market gaps without requiring API credentials.

This is aimed at Paid-growth and creative strategy teams. Compare the examples below with your task, then review the limitations, permissions, and risks before installing.

What you get
  • Collect public adsSearch public ad libraries for copy, formats, CTAs, dates, and landing pages.
  • Cluster strategyGroup hooks, formats, landing pages, audiences, and campaign themes.
  • Find differentiated testsIdentify crowded claims, underused proof, format gaps, and counter-plays.
What makes it different
  • Separates observed public evidence from strategic interpretation.
  • Links ad creative to landing-page and funnel behavior.
Community signalNo attributed third-party rating yet

No verified review text is in the current dataset. Use the linked source for the latest discussion.

Read the source note ↗

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project install (recommended)
npx skills add github/awesome-copilot --skill competitor-ad-intelligence --agent github-copilot
Personal install
npx skills add github/awesome-copilot --skill competitor-ad-intelligence --agent github-copilot -g

Project install stays with this repository for team sharing. Personal install adds -g and works across repositories.

View install paths
Project path.agents/skills/competitor-ad-intelligence/
Personal path~/.copilot/skills/competitor-ad-intelligence/
Official agent docs

Copilot also accepts .github/skills and .claude/skills at project scope. Preview untrusted Skills before enabling scripts.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Collect public ads

Search public ad libraries for copy, formats, CTAs, dates, and landing pages.

02

Cluster strategy

Group hooks, formats, landing pages, audiences, and campaign themes.

03

Find differentiated tests

Identify crowded claims, underused proof, format gaps, and counter-plays.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. Separates observed public evidence from strategic interpretation.
  2. Links ad creative to landing-page and funnel behavior.

Limitations

  1. Public libraries can be incomplete, personalized, delayed, region-limited, or hard to scrape.
  2. Ad longevity and volume do not reveal spend, profitability, targeting, or conversion performance.

COMPARE THE TRADEOFF

Consider these close alternatives

These are deterministic nearby candidates, not paid placements or a universal ranking. Open the full profile before choosing.

01

Same job family · native to GitHub Copilot

ad-campaign-analyzer

Campaign performance analysis that separates signal from noise and recommends what to cut, scale, or test.
Tradeoff to check
Pure reasoning over exports cannot validate attribution, benchmark freshness, or platform data quality.
First risk
Small or biased samples drive budget decisions · High
Source state
Pinned · 1f564408
Open ad-campaign-analyzer profile ↗
02

Same job family · native to GitHub Copilot

prompt-optimizer

Finished, placeholder-free chat prompts shaped around the user's real task, audience, and output.
Tradeoff to check
A polished prompt cannot supply missing domain facts or guarantee the target model follows it.
First risk
Sensitive content embedded into the prompt · High
Source state
Pinned · 1f564408
Open prompt-optimizer profile ↗
03

Same job family · native to GitHub Copilot

landing-page-conversion-audit

Evidence-bounded landing-page diagnosis with a short fix list ranked by expected business impact.
Tradeoff to check
Cannot diagnose a broken audience or offer from page design alone.
First risk
Revenue claims inferred from incomplete funnel data · High
Source state
Pinned · 1f564408
Open landing-page-conversion-audit profile ↗
Compare more in the directory →

BEST FIT

Who it is for

→

Paid-growth and creative strategy teams

→

Marketers preparing evidence-led campaign tests

BEFORE YOU USE IT

Risks to review before use

Medium

Unsupported performance inference

The workflow may treat long-running ads or high volume as signs of success even though spend and conversion data are private. Label every inference, preserve collection dates, and avoid claiming competitor performance.

SECURITY

What the permission profile means

  • Use only public ad libraries and respect platform access terms.
  • Do not collect personal profiles, private targeting data, or gated competitor materials.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

COMMON QUESTIONS

Competitor Ad Intelligence Skill FAQ

What is the Competitor Ad Intelligence Skill?

Evidence-led analysis of public paid ads, creative patterns, landing pages, funnels, and market gaps. Competitor Ad Intelligence is a GitHub Awesome Copilot workflow for analyzing public Meta and Google ads, creative hooks, formats, calls to action, landing-page message match, campaign clusters, and possible market gaps without requiring API credentials.

How do I install the Competitor Ad Intelligence Skill?

Open and review the listed source, choose the project or personal path for your Agent, then verify the first run in a controlled project. Open the pinned commit and read the current SKILL.md.

Is the Competitor Ad Intelligence Skill safe to use?

SkillSignal checked the source on 2026-09-24, but that is not a runtime test or security certification. Review the “Unsupported performance inference” risk first and begin with the least access required.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream package contentSource-linked

TAGS

competitive-intelligencepaid-adscreative-strategy

Original SkillSignal editorial profile grounded in GitHub Awesome Copilot commit d7e4ad98, checked 2026-09-23; not independently executed or security-certified.