Ecommerce App Cro
Use when improving ecommerce product pages, collection pages, carts, checkout, subscriptions, app store listings, screenshots, reviews, or mobile conversion surfaces.
Install
$ agentstack add skill-infinite-labs-ai-infinite-skills-ecommerce-app-cro ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-infinite-labs-ai-infinite-skills-ecommerce-app-cro) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Ecommerce and App CRO
Improve product pages, carts, app listings, screenshots, paywalls, and checkout surfaces where users are close to buying or installing.
Identify The Surface
Classify the request:
- Ecommerce product page.
- Collection or category page.
- Cart or checkout.
- Subscription landing page.
- App store or Play listing.
- In-app paywall.
- Mobile onboarding purchase moment.
Gather the URL, screenshots, product details, traffic source, current conversion rate if known, price, reviews, and return or cancellation concerns.
Diagnose The Buying Question
Each surface must answer a different question:
- Product page: is this right for me?
- Collection page: which option should I choose?
- Cart: should I finish now?
- Checkout: can I trust this transaction?
- App listing: is this worth installing?
- Paywall: is the paid version worth it now?
Classify the blocker:
- Fit: is this right for me?
- Trust: can I believe this?
- Risk: what happens if I choose wrong?
- Value: is it worth the price, time, or install?
- Urgency: why act now instead of later?
- Completion effort: what makes finishing feel hard?
Look for gaps in proof, comparison, sizing, benefit clarity, social proof, risk reversal, visual explanation, shipping or billing transparency, and mobile usability.
Recommend Surface Changes
Use channel-native fixes:
- Product images that show scale, use, outcome, and details.
- Review snippets tied to objections.
- Variant or plan comparison.
- Clear shipping, returns, billing, and renewal terms.
- Screenshot order that tells the app’s value story.
- Paywall copy tied to the activation moment.
- Checkout reassurance without clutter.
Output
Conversion surface:
[surface and goal]
Buyer question:
[what must be answered]
Friction points:
| Blocker | Problem | Evidence | Fix |
Asset changes:
- Image/screenshot:
- Copy:
- Proof:
- Offer:
- UX:
Priority fixes:
1. [fix]
2. [fix]
3. [fix]
Test idea:
[what to test and how to judge it]Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Infinite-Labs-AI
- Source: Infinite-Labs-AI/infinite-skills
- License: MIT
- Homepage: https://infinite.fast/agents/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.