Content & Marketing · IN-DEPTH PROFILE

competitor-ad-intelligence

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 2026-08-20

Pinned revision · 318066d2

Open pinned commit ↗
SkillSignal profileEditorial metadata

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

30-SECOND BRIEF

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.

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 scope.agents/skills/competitor-ad-intelligence/
Personal scope~/.copilot/skills/competitor-ad-intelligence/

Use project scope for team sharing and personal scope across repositories. The installer defaults to project scope; add -g for personal scope.

Install command (project scope)npx skills add github/awesome-copilot --skill competitor-ad-intelligence --agent github-copilot
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 · 318066d2
Open 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 · 318066d2
Open 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 · 318066d2
Open 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.

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 318066d2, checked 2026-08-20; not independently executed or security-certified.