audit
Skill8 starsChanged 3 months agoMITView on GitHub
Read-only conversion audit of a whole storefront page. Scores above-the-fold, offer strength, proof, copy, design, mobile and funnel data against the build rules and returns ranked fixes. Never edits; hand approved fixes to /optimize.
194 other projects use a version of this.
Adopted by
Most recently taken up by
- Laucked-Security/claude-oswetheir own version, first seen Nov 8, 2026
- sanmidable/skillstheir own version, first seen Nov 8, 2026
- alegauss/claude-traytheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- MammadovEshgin/clean-code-skilltheir own version, first seen Nov 8, 2026
Used with
Projects with it also use delight, teach-impeccable and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 194
- openai/plugins★ 7.8ksame name
- ccch1mneyyy/dsh-TUI★ 7.2ksame name
- macro-inc/macro★ 6ksame name
- yournextstore/yournextstore★ 5.5ksame name
- gadievron/raptor★ 4ksame name
- alchemy-run/alchemy★ 1.9ksame name
- alchemy-run/alchemy-effect★ 1.9ksame name
- mattmireles/gemma-tuner-multimodal★ 1.5ksame name
- jsmastery-pro/skills★ 1.4ksame name
- nateherkai/AIS-OS★ 1.4ksame name
184 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ab-testSkill
- cartSkill
- conversion-carouselSkill
- design-pageSkill
- optimizeSkill
- plan-assetsSkill
- plan-pageSkill
- publishSkill
- quizSkill
- setupSkill
- visualize-pageSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 38
If work/storefront/setup.md exists, read it for rules and personas.
- Very specific: line 104
Write the report to work/storefront/audits/<page-id>-v<version>.md.
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Audit a Page
Produce an evidence-based CRO report for one live or draft page. This skill changes nothing: no page writes, no generation, no publishing.
References
| Reference | Read when |
references/page-types/_index.md, then the type file | always |
references/evidence-led-cro.md, references/consumer-behavior-cro.md | always |
references/design-rules.md | always |
references/offers/offer-strategy.md, references/offers/offer-stacking.md, references/offers/offer-ledger.md | always |
references/proof/proof-ledger.md | always |
references/copy/headline-and-cta-rules.md, references/anti-patterns/cro-anti-patterns.md, references/anti-patterns/mobile-anti-patterns.md | always |
the matching section of references/industry-cro.md | when the vertical is known |
Gather
- Resolve the page:
lexsis_pages.find,lexsis_pages.get,lexsis_pages.inspect,lexsis_pages.source. - Read
lexsis_analytics.page,lexsis_analytics.page_funnel,lexsis_analytics.page_attributionandlexsis_analytics.timeseries. If data is missing or thin, say so; do not invent findings from it. For product and collection templates, also readlexsis_analytics.resource_funnel,lexsis_analytics.resource_attribution,lexsis_analytics.resource_orders,lexsis_analytics.resource_viewsandlexsis_analytics.resource_vitals. - Open the page in the host browser at 390 and 1280. Screenshot the first screen before any scroll.
lexsis_assets.viewon hero and offer images;lexsis_catalog.getandlexsis_catalog.reviewsfor claimed products and proof.- If
work/storefront/setup.mdexists, read it for rules and personas. Its absence limits the report but does not stop it.
Score
Above the fold, at 390 and 1280
Pass or fail each, with the screenshot as evidence:
| # | Check |
| F1 | What it is and who it is for is clear within five seconds |
| F2 | The headline states the outcome and matches the ad or link that sent traffic |
| F3 | The hero image shows the product or its result |
| F4 | Price, or the offer, is visible on a PDP or offer page |
| F5 | The primary CTA is visible, high contrast, and states the action |
| F6 | Rating and review count sit near the title, when real reviews exist |
| F7 | One risk reducer is visible: returns, guarantee, or delivery date |
| F8 | Shipping cost or threshold is stated or one tap away |
| F9 | Nothing competes with the CTA: pop-ups, stacked bars, a second offer |
| F10 | Largest image is not lazy-loaded and appears quickly |
Whole page
| Area | Rule source |
| Page type contract | <type>.md checklist |
| Offer | value score and OS rules in offer-stacking.md, offer-ledger |
| Proof | proof-ledger |
| Copy | headline and CTA rules |
| Design | design-rules N1-N14, A1-A12 |
| Mobile | mobile-anti-patterns |
| CRO tells | cro-anti-patterns |
| Funnel | biggest drop-off, device and source split |
Give each area 0 to 100 and one overall score. Unverified claims and compliance problems are blocking, whatever the score.
Report
# Audit: <page> (version <n>, <date>)
## Summary
Overall: <score> | Blocking: <n> | Biggest opportunity: <one line>
## Above the fold
| Check | 390 | 1280 | Evidence |
## Scorecard
| Area | Score | Key finding | Rule |
## Offer
Value score, current stack, missing stack items, margin unknowns.
## Ranked fixes
| # | Fix | Evidence | Impact H/M/L | Effort H/M/L | Test or ship |
## Not assessed
<missing data>Rank by evidence, impact, and effort. Do not promise a lift percentage. Mark
ideas without page evidence as hypotheses, and send uncertain ones to
/ab-test.
Write the report to work/storefront/audits/<page-id>-v<version>.md.
Return
Return the report path, overall score, blocking count, the top three fixes, and
the state AUDIT_READY. To apply fixes, the user runs /optimize.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

