One line of code for real user insight in agent workflows.

A user research API
built for agents.

Turn real user feedback into structured evidence for Cursor, Claude Code, Codex, Gemini, and OpenClaw workflows so AI can help validate what to build next.

npx clawhub@latest install userlayer

Please learn this skill first: npx clawhub@latest install userlayer

If it is easier for you to inspect the repo first, use: https://github.com/houyongsheng/userlayer

After installing it, use the UserLayer skill to analyze this app and return pain points, user segments, and opportunities grounded in real reviews:
<replace this with an App Store or Google Play URL>

View on GitHub View on ClawHub

Pay as you goFull SKILL.md package included

Input

https://apps.apple.com/app/competitor

Output

Top pain points

Sync feels unreliable, and power users repeatedly check whether data actually saved.

Heavy users get slowed down by inefficient workflows and missing shortcuts.

New users struggle to understand the value on day one and churn too early.

User segments

Cross-device power usersTeams in migrationFirst-time category beginners

Follow-up

Which users are most likely to churn because of sync issues?

The strongest evidence currently points to cross-device power users, with cited reviews attached instead of a generic summary.

Sources

"Every time I switch devices, I worry whether my data actually synced."

"The first launch shows a lot of features, but I still don't know where to start."

What you get

Not more information.
Faster decisions.

Pain points

Compress repeated complaints into concrete problem statements.

Segments

See which users are complaining instead of blending everyone into one bucket.

Follow-ups

Keep asking until a conclusion becomes a decision.

Who is it for

AI made implementation cheap,
so validation became the new bottleneck.

Founders validating ideas

You have a product idea but do not yet know what the market truly wants or where to enter a competitive category.

"Ask competitor users before you start building"

Developers with live products

Your app is already live and collecting reviews, but the feedback pile is unread and the next roadmap call is unclear.

"Read the whole review pile in 30 seconds and ask users why"

Agent operators

You run agent systems and need them to validate demand or user pain before they keep shipping.

"Give your agents a permanent layer of user intelligence"

Why trust it

It does not need to look smart.
It needs to be trustworthy.

Every conclusion should trace back to original reviews.

If evidence is weak, the system should tell you it cannot make the call.

It does not replace user interviews. It helps you decide what to ask next.

A user research APIbuilt for agents.

Not more information.Faster decisions.