Mini-Program UI Device Skill: From Preview to Real-Device Proof

Where this fits

You're building a mini-program and the client sends a screenshot of a screen they want reproduced. You code it, but on your phone the safe area cuts the button, the keyboard overlaps the input, and the scroll feels wrong. This skill frames that workflow: it takes a confirmed reference, produces a visual preview for approval, then guides integration and real-device verification—without pretending a mockup is proof of device behavior.

Why agents benefit

• Separates preview from production: The skill forces a distinct visual preview step before touching source code, so you never accidentally ship an unapproved design.
• Tracks device-specific constraints: It explicitly handles safe areas, keyboard overlap, touch targets, and gesture conflicts—areas where generic UI skills often fail.
• Requires evidence for device claims: The skill refuses to claim "works on device" without actual device-specific proof, reducing hallucinated QA results.
• Preserves product semantics: It protects existing accepted behavior and never invents functionality just to make a screen look complete.
• Generates a verification matrix: You get a structured checklist for testing across device sizes, which is directly actionable for both agents and human reviewers.

Practical scenarios

Reproducing a reference screen with fidelity

Given a screenshot of a target mini-program page, the agent can produce a visual preview that matches the reference's layout, spacing, and typography. The user approves that preview before any code is written, ensuring the final implementation aligns with the agreed visual direction.

Adapting an existing screen for a new device

When a user reports that a form is unusable on a specific phone model, the agent can analyze the current implementation against the device's safe-area and keyboard behavior. It then proposes layout adjustments—like moving the submit button above the keyboard zone—and generates a local check before suggesting real-device tests.

Comparing implementation to a design system

If your team has a design system, the agent can assess whether the current mini-program UI adheres to it. It flags violations in spacing, color, or component usage, and offers a preview of proposed fixes for user confirmation before integration.

Add it to your agent workflow

Install the skill with:

npx skills add NocodeMrLi/mini-program-engineering-skill-suite --skill mini-program-ui-device-skill

Then, in your agent prompt, reference the skill when a user asks to "match this screenshot" or "fix the layout on iPhone SE." The agent will first produce a named visual preview (or 2–3 text candidates if no renderable asset exists), wait for approval, then integrate and list local checks before any device verification claim. For a deeper look at the skill's boundaries and input handling, see its OpenAgentSkill listing.

Compare before adopting

Check the GitHub repo's commit history and issue activity—22 stars is modest, but freshness matters more. Compare it with generic UI-generation skills that lack device-awareness. Also evaluate whether the skill's strict preview-approval workflow fits your team's iteration speed; it adds a step but reduces rework.

Why it is worth tracking

This skill addresses a real gap: many agent-driven UI tasks ignore device-specific constraints and verification honesty. Its design—separating visual preview, user approval, and real-device evidence—is a quality signal. Watch for updates on safe-area handling and new device profiles. If your mini-program work involves multi-device support or strict design fidelity, this is worth evaluating now.