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Grok Bot+18 agentsplain screen check
Audit and rewrite app UI text to remove jargon, clarify buttons, and prevent first-time user confusion.
$5
plain screen check
Example session with this skill installed
Run a plain screen check on the settings.tsx file. The audience is small business owners who are not tech-savvy. Focus on the API and Webhook sections.
- Read your context and instructions
- Compiled the plain screen check
- Generated the document
I have analyzed settings.tsx from the perspective of a small business owner. The primary friction points involve technical terminology in the integration sections that would likely lead to user hesitation.
Wrong Guess Report
-
Screen: Settings > Integrations
Current Text: "Configure Webhook Endpoint (Line 42)"
User's Wrong Guess: "I need to hire a programmer to connect my bank account."
Replacement: "Send data to your other apps" -
Screen: Settings > API
Current Text: "API Token: [ID] (Line 88)"
User's Wrong Guess: "This is a password I need to memorize or type in every time."
Replacement: "Secret key for connecting software (Keep this private)"
Plain Screen Check Findings
| Screen | Check | Now says | Change to | Where |
|---|---|---|---|---|
| API Settings | Says what it is for | API Management | Connect this app to your other business tools. | line 12 |
| Webhook List | Every state speaks | No webhooks found. | You haven't connected any apps yet. Click 'Add connection' to start. | line 55 |
| Webhook Form | Every button says what happens | Submit | Save connection | line 102 |
| Integrations | No internal names | Payload URL | Link to your other app | line 48 |
| Delete Dialog | Every button says what happens | Confirm | Delete connection (cannot be undone) | line 120 |
Next steps
- Review the proposed text replacements in the table above.
- Confirm if I should update the strings directly in
settings.tsx. - Specify if you want me to check the associated
en.jsontranslation file instead.
settings.tsx
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
Users abandon apps when they cannot tell what a screen is for or what a button will do. This skill audits your application through the eyes of a non-technical newcomer to eliminate friction. It identifies jargon, ambiguous labels, and unexplained concepts that cause user drop-off.
What it does
- Identifies friction points by simulating the first-time user experience to catch likely misunderstandings.
- Clarifies navigation by ensuring every screen has a plain-language sentence explaining its purpose.
- Audits control labels to replace vague actions like "Submit" with descriptive outcomes like "Save draft."
- Removes technical jargon by stripping out internal codes, IDs, and developer terms like "webhook" or "payload."
- Optimizes empty states by turning blank screens into clear "what to do first" instructions.
- Performs safety checks for destructive actions, ensuring warnings are explicit and clear.
How it works
- Source analysis: The skill scans source code, screenshots, or pasted text to extract every visible string.
- Six-point audit: Every screen is checked for purpose statements, verb-based buttons, unique controls, jargon removal, concept explanations, and state messaging.
- Report generation: It produces a report featuring the most likely "wrong guesses" a user would make, followed by a detailed change table.
- Implementation: Upon approval, it updates only the user-facing text in code or translation files without touching logic or identifiers.
Frameworks & tools
This skill works with any frontend framework including React, Vue, Svelte, and Angular, as well as mobile stacks like React Native or Flutter. It can parse standard source files, i18n translation objects, or raw UI screenshots.
Why this beats prompting it yourself
Generic prompts often overlook the "wrong guess" analysis that uncovers subtle UI friction. This skill follows a specific six-point heuristic designed to catch developer-blindness and internal jargon that standard LLMs might accept as normal.
Use cases
- Auditing a complex dashboard before a major public release.
- Refining an onboarding flow that has a high drop-off rate.
- Converting developer-written error messages into human-readable instructions.
- Standardizing button labels across a large, multi-developer codebase.
Known limitations
It cannot fix underlying UX flow issues or broken logic. Changes are restricted to surface-level text and do not include layout or CSS modifications.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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