Use interaction principles and checklists to design or review user-facing flows. It helps check how screens handle empty, loading, and error states, preserve drafts, guide actions, and reveal advanced options as needed.
OriginalShow the original description
Use for product design principles and UX checks when designing or implementing user-facing flows.
The ux skill helps design and review how an interface behaves over time, rather than its appearance or wording. Its checklists cover empty, loading, and error states; searching and selecting in lists; protecting in-progress drafts; what happens after an action; button priority; and undo or retry options. It draws on design principles and checks for activities such as reading, editing, acting, receiving feedback, and discovering features, helping keep the experience consistent across a screen.
For static design-system guidance or wording, see DESIGN.md. The related react skill covers component choices, while modal covers modal state control.
When it helps
Use it when creating a user-facing screen or reviewing an existing flow. It can help check whether input might be lost, whether users can recover from a failure, and whether the next step is clear.
Example requests
“Check whether this input screen protects drafts from being lost.”
“Review the empty, loading, and error behavior in this list.”
“Check the buttons and next steps in this flow.”
Notes
For guidance on static appearance and wording, refer to DESIGN.md.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
Document check
AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).
SafetyAre sending data, deleting files, and running commands disclosed?
AGoodThe material describes design checks and does not direct external or destructive actions.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodIt refers to checklists and related guidance without naming additional setup requirements.
Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 26, 2026. Treat it as a guide and read the original before installing.
Disagree? Request a re-evaluation
Files included (7)
SKILL.md10.7 KB
references/act.md32.6 KB
references/design-values.md2.3 KB
references/edit.md4.5 KB
references/feedback.md42.5 KB
references/grow.md6.7 KB
references/read.md47.8 KB
SKILL.md (original)
Review the instructions the agent will receive before you install.
UX — Design Values & Execution Checklists
How LobeHub products should feel, and concrete rules to get there. Use this when
building or reviewing any user-facing flow.
This file is the index: the design values and interaction principles below are the
conceptual layer; the execution checklists live in per-module reference files (see
Checklist modules). Each checklist item is tagged with the design value(s) it serves.
What lives where: DESIGN.md vs this skill
Two documents, two jobs — don't duplicate; cross-reference.
DESIGN.md — the design system: what the product looks
and sounds like. Themeable tokens (color, typography, elevation, radius), the component
inventory, and Voice & Content (wording, tone). Reach for it when you need a token
value, a component, or copy tone.
this ux skill — interaction behavior: how a flow should behave over time.
Empty / loading / error states, lists at scale, selection visibility, pickers, number
formatting, draft safety, action flow & momentum, button hierarchy, entity lifecycle,
capability guardrails, progressive disclosure.
Rule of thumb: static look & wording → DESIGN.md; dynamic behavior → this skill. For
component/styling choices see react; for imperative modal wiring see modal.
Design values
LobeHub follows four product design values — Natural・Meaningful・Certainty・Growth.
Read them before designing:
references/design-values.md (definitions + conflict
priority).
Interaction principles
Use these before the execution checklists when a flow has multiple plausible interaction
patterns.
Preserve the surface contract・Meaningful・Natural
Every surface carries a task promise: chat keeps the user in a working conversation, a
document page supports focused reading / editing, a settings page supports configuration,
and so on. Default interactions should continue that promise instead of unexpectedly
moving the user into another mode. Prefer in-context surfaces (portal / panel / drawer)
for reference and auxiliary work; reserve full-page navigation for committed focus or
explicit mode switches.
Consistency is semantic, not mechanical・Certainty・Meaningful
Consistency means the same user intent behaves the same way in the same surface. It does
not mean the same component must do the same thing everywhere. When a component is reused
across surfaces, let the parent surface provide the interaction strategy so behavior
follows intent rather than implementation convenience.
Layout communicates role・Natural・Certainty
Element placement is part of the interface language. Identity and location (breadcrumbs,
titles, object labels) should read separately from state and actions (save status,
sharing, panel toggles, overflow menus). When these roles are mixed, users have to infer
whether an element describes the current object or acts on it.
Compose the canonical surface component, don't re-derive it・Certainty・Natural
When a surface class already has a canonical component in this codebase — a sidebar row →
NavItem, a collapsible group → Accordion / GroupedAccordion, an active surface →
Block variant='filled' — compose it, don't rebuild the chrome from raw
<div>/<button>/<input> + a bespoke createStaticStyles block. A hand-rolled parallel
re-derives padding, hover/active states, alignment, and reveal-on-hover by hand, and drifts
from its siblings on each one — the aggregate reads as "unpolished" even when every single gap
is tiny. Before building a list / nav / master-detail panel, find the primitive the sibling
surface uses (grep NavItem, Accordion) and compose it; fall to raw elements only for a
genuinely novel row. See Read §1.10 for the full pattern; the
react component-priority rule covers the mechanics.
Review messages in page context・Certainty
Distinguish routine explanations from action-blocking states; do not stack equally prominent warning banners for different roles. Restriction copy must name the current condition and the next action, using precise product entities (for example, distinguish a model from its provider). Verify the whole page, not just the changed component.
Checklist modules
Grouped by interaction type — the kind of thing the user is doing. Jump to the module
matching the surface you're building; a surface often spans several (an editable list is
Read + Edit + Act) — walk each that applies.
Read — viewing data & lists: empty / loading / error states,
lists at scale, selection visibility, picker completeness, number formatting, default
view.
Use this scan to identify applicable checks, then read the linked module for its full requirements and examples. Keep implementation details and case histories in those modules, not duplicated here.
Success leads to the result; terminal screens provide a working next action or escape.
Persist results that change the next step; keep transient acknowledgements in toasts.
Provide both bulk and single-item action entry points.
Show confirmation, locked progress, and outcome where required. Slow atomic operations close the confirmation and show progress on the originating surface.
Long-running or costly operations support cancellation while running and retry after failure.
Surface optimistic mutation and job-control failures; never silently roll back.
Keep list and detail views synchronized after edits.
Pin actions and status outside scrollable content; verify the overflowing state.
Give each surface one visually dominant primary action.
Provide the lifecycle operations appropriate to each entity's source; honor pin/keep/lock on every removal path.
Show the acting identity and an account-switch or re-authentication path.
Require a deliberate gesture for unrecoverable or broad destructive actions and report partial failure.
Reveal newly minted secrets once with Copy, then mask them; hash verify-only secrets and encrypt protocol credentials the server needs in plaintext; generate an entity's credential on demand in its own row, not at creation.
User-memory/profile stores support correction, retaining without use, export, and undo or soft-delete.
Feedback — loading & system response (feedback.md)
Loading form matches the scenario table in feedback §4.1.
Match skeleton structure to measured rendered layouts, including platform and route variants.
Loading and load-more failures have visible recovery paths; failed items persist rather than auto-dismiss.
Dependent-fetch gates release on settled data, absence, or error; error/not-found branches remain reachable.
Failed awaited writes release busy controls; autosave exposes saving, saved, and failed states with retry.
Write localized, human-readable errors; keep internal IDs in structured inspection fields and lead with the remedy for deterministic failures.
Capability warnings are reactive and wait for resolved configuration; distinguish model choices from platform limitations.
Use this skill to verify a delivery by exercising the real product through a suitable surface such as a CLI, web app, desktop app, or iOS Simulator. It helps create or find a verification plan, capture evidence, and publish an acceptance report.
Use this skill to add an AI model provider to LobeHub across runtime integration, model cards, settings, branding, documentation, and acceptance checks. It also covers provider documentation updates and distinguishes new providers from models added to an existing provider.
Integrating a new AI model provider into LobeHub
Updating setup or usage documentation for a provider
Checking whether a model needs a new provider integration
Use this skill to add a server-side environment variable that sets a default for a user setting. It walks through validation, server configuration and store merging, plus updating the example environment file and self-hosting documentation.
Adding an environment variable for a setting default
Provides guidance for registering hooks around an agent’s execution steps, tool calls, human approvals, context compression, and sub-agent calls. Hooks can observe events, supply local mock tool results, or use webhooks to allow or deny tool results under configured policies.
Observing agent steps and tool errors
Mocking tool results during local execution
Requiring webhook decisions before or after a tool call
Build event-driven background workflows for agents by defining sources, interpreting them as signals, and running actions through policies. It also guides asynchronous handoffs, deduplication, scoped execution, completion receipts, and observability.
Adding a new event source to an agent workflow
Routing interpreted signals to concrete background actions
Use this skill to run end-to-end acceptance checks for bot channels in real desktop chat apps. It drives apps such as Discord, Slack, Telegram, WeChat, Lark, and QQ to send a message, wait for a response, and capture the result.