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ux-journey-definition用户体验旅程定义

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

441

周安装

18

GitHub Stars

34

下载量

141
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ux-journey-definition(用户体验旅程定义)
来源仓库:https://github.com/autobyteus/autobyteus-skills
仓库路径:skills/ux-journey-definition
安装命令:
npx skills add https://github.com/autobyteus/autobyteus-skills --skill ux-journey-definition
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/autobyteus/autobyteus-skills --skill ux-journey-definition

简介

用于定义用户从接触到完成目标的全流程路径。

  • 适合梳理关键触点并识别体验断点与机会点。ux-journey-definition 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需结合具体业务场景和用户角色设定。
  • 输出结果可用于指导后续功能设计与优先级排序。
  • 安装方式:github,支持主流代码助手集成。

SKILL.md

UX Journey Definition

Overview

Create one canonical artifact, experience-story.md, that captures the product story, main journey, screen-by-screen behavior, and transition mapping. This is the upstream input for $product-ui-prototyping. The artifact must also encode cognition-first decisions so flow order and interaction density reduce user burden.

Default Output

  • ui-prototypes/<prototype-name>/experience-story.md
  • If the user specifies a different path, follow the user path.

Workflow

Audible Notifications (Speak Tool, Required)

  • Use the Speak tool for key stage-boundary updates so the user does not need to watch the screen continuously.
  • Hard rule: speak at both stage start and stage completion for each key stage below (no selective skipping).
  • Required speak stages:

- workflow kickoff (prototype context acknowledged, next stage), - product story + main journey stage (started, then draft completed), - cognitive load criteria stage (started, then criteria drafted), - screen stories + alternate/error paths stage (started, then draft completed), - transition index stage (started, then index completed), - canonical artifact write stage (started, then experience-story.md written/updated), - quality gate stage (started, then Pass/Needs fixes result), - handoff-ready stage for $product-ui-prototyping (started, then ready status).

  • Speak trigger policy:

- do not skip required stage-boundary speak events, - for completion events, speak only after milestone content is physically written, - do not speak for partial drafts between required stage-boundary events, - batch close-together milestone updates into one short message.

  • Keep each spoken message short (1-2 sentences), status-first, with one clear next step.
  • If the Speak tool fails or is unavailable, continue workflow and provide the same update in text.
  • Do not speak secrets, tokens, or full sensitive payloads.

1) Capture Product Story

Write one short paragraph:

  • who the user is,
  • what they are trying to achieve,
  • what success looks like.

Keep this concrete and product-facing.

  • Speak completion after product story draft is physically written.

2) Write Main Journey (Happy Path)

Write a numbered flow from entry to success. Each step should include:

  • what the user does,
  • what the system does,
  • which screen_id is involved.

Prioritize one critical flow first before expanding.

  • Speak completion after main journey draft is physically written.

3) Define Cognitive Load Criteria (Required)

Before writing detailed screen behavior, define a short cognition-first rubric for this product:

  • learning order strategy (what comes first and why),
  • connection strategy (group by semantic/stem linkage where possible),
  • chunking limits (items per step/screen),
  • interference controls (what confusing patterns are delayed),
  • progression policy (when to unlock complexity).

Keep this practical and measurable so it can be used as a review gate.

  • Speak completion after cognitive-load criteria are physically written.

4) Write Screen Stories

For each screen, describe behavior in plain language with stable IDs.

Required shape:

  • screen_id
  • user arrives from
  • user sees
  • user can do (action_id)
  • system behavior for each action
  • cognitive objective (what mental burden this screen reduces)
  • cognition controls (chunking, progressive disclosure, contrast/clarity choices)
  • states to prototype (default, loading, success, error, empty when applicable)
  • Speak completion after screen stories are physically written.

5) Capture Alternate/Error Paths

Document only meaningful branches:

  • validation failures,
  • empty/no-results states,
  • recoverable errors.

For each branch, state:

  • trigger/condition,
  • what user sees,
  • recovery action and destination.
  • Speak completion after alternate/error paths are physically written.

6) Build Transition Index

Create a single transition table that links interactions to movement.

Columns:

  • transition_id
  • trigger
  • from_screen
  • to_screen
  • expected_feedback

Use IDs consistently across the whole document.

  • Speak completion after the transition index is physically written.

7) Record Blocking Questions

List only blockers that can change behavior or flow. Do not include cosmetic/open-ended discussion items.

Canonical Artifact Template

Use this structure in experience-story.md:

# Experience Story: <prototype-name>

## 1) Product Story
<one short paragraph>

## 2) Main Journey
1. ...
2. ...

## 3) Cognitive Load Criteria
- Learning order: ...
- Connection strategy: ...
- Chunking limit: ...
- Interference control: ...
- Progression policy: ...

## 4) Screen Stories

### screen_id: <screen_id>
- User arrives from: ...
- User sees:
  - ...
  - ...
- User can do:
  - `<action_id>`: ...
- System behavior:
  - when `<action_id>` -> <feedback> -> go to `<next_screen_id>`
- Cognitive objective: ...
- Cognition controls:
  - chunking: ...
  - progressive disclosure: ...
  - clarity guardrails: ...
- States to prototype: default, loading, success, error, empty

## 5) Alternate And Error Paths
- If <condition>, show <state/message>, then user can <recovery action>.

## 6) Transition Index
| transition_id | trigger | from_screen | to_screen | expected_feedback |
| --- | --- | --- | --- | --- |
| ... | ... | ... | ... | ... |

## 7) Blocking Questions
- <question> (owner: <name>)

Practical Rules

  • Keep it practical and short. Avoid heavy theory.
  • No out-of-scope section by default.
  • Focus on behavior and navigation, not design tokens.
  • Keep each screen section to 5-8 bullets.
  • Every action must define both feedback and next destination.

Quality Gate

  • One clear happy path exists from entry to success.
  • Every major trigger maps to a target screen/state.
  • Screen IDs and transition IDs are consistent.
  • Error and empty states include recovery actions.
  • The learning sequence explicitly minimizes cognitive burden (simple -> connected -> complex).
  • Early modules prioritize semantic/stem-connected content before higher-interference pattern groups.
  • Each screen declares its cognitive objective and concrete burden-control mechanisms.
  • The document can be directly used by $product-ui-prototyping.
  • Speak quality-gate result after validation completes.

Handoff To Prototyping

When visual prototyping is requested next, invoke $product-ui-prototyping with:

  • ui-prototypes/<prototype-name>/experience-story.md
  • product constraints from this document
  • chosen platform (web, ios, android)

Then generate state images, flow maps, and viewer artifacts based on the transition index and screen stories.

  • Speak handoff-ready completion after experience-story.md is written/updated.

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