Content & Marketing · IN-DEPTH PROFILE

landing-page-conversion-audit

Evidence-bounded landing-page diagnosis with a short fix list ranked by expected business impact.

Best for

Growth teams reviewing paid-traffic landing and checkout pages

What you get

Bound the evidence + Audit the funnel

Main limitation

Cannot diagnose a broken audience or offer from page design alone.

First risk

Revenue claims inferred from incomplete funnel data. A visually plausible finding may be irrelevant when attribution, sample size, audience, or offer is wrong. State missing inputs, avoid lift promises, and validate material changes with measured experiments.

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

Landing Page Conversion Audit is a GitHub Awesome Copilot workflow for diagnosing message mismatch, mobile friction, offer clarity, forms, trust, post-click paths, and measurement, then returning no more than seven fixes ranked by expected impact and evidence confidence.

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/landing-page-conversion-audit/
Personal scope~/.copilot/skills/landing-page-conversion-audit/

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 landing-page-conversion-audit --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

Bound the evidence

Collect the rendered page, traffic source, sample ads, funnel volume, and device split.

02

Audit the funnel

Check message match, first viewport, offer, form, payment trust, follow-up, and tracking.

03

Rank the response

Separate direct fixes, A/B tests, healthy elements, and areas that could not be checked.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. Requires findings to name the element, failure mode, and specific change.
  2. Explicitly limits claims when traffic or conversion data is sparse.

Limitations

  1. Cannot diagnose a broken audience or offer from page design alone.
  2. Expected-impact ordering is directional; the workflow forbids claiming transferable percentage lifts.

BEST FIT

Who it is for

Growth teams reviewing paid-traffic landing and checkout pages

Product teams deciding which conversion changes to test first

BEFORE YOU USE IT

Risks to review before use

High

Revenue claims inferred from incomplete funnel data

A visually plausible finding may be irrelevant when attribution, sample size, audience, or offer is wrong. State missing inputs, avoid lift promises, and validate material changes with measured experiments.

SECURITY

What the permission profile means

  • Use read-only access and sanitized analytics when auditing production funnels.
  • Do not alter checkout or tracking infrastructure without separate authorization.

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

conversionlanding-pagescro

Original SkillSignal editorial profile grounded in GitHub Awesome Copilot commit 318066d2, checked 2026-08-20; not independently executed or security-certified.