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Agent Skill · 研究检索

hooked-ux(着迷的用户体验)

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。

hooked-ux 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 3,774。

总安装 39,936周安装 1,608GitHub Stars 779下载 12,928核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:hooked-ux(着迷的用户体验)
来源仓库:https://github.com/wondelai/skills
仓库路径:skills/hooked-ux
安装命令:
npx skills add https://github.com/wondelai/skills --skill hooked-ux
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/wondelai/skills --skill hooked-ux

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助界面设计、视觉规范和交互体验优化,适合整理页面结构或生成 UI 方案。适用于产品场景下的布局规划、组件层级检查和视觉一致性维护。使用时需结合品牌规范与用户任务,避免堆砌装饰元素;涉及真实页面改动应通过截图或浏览器预览检查表现。

安装方式:github;支持 Codex、Claude、Cursor、Gemini CLI。hooked-ux 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/hooked-ux

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wondelai/skills --skill hooked-ux;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

hooked-ux 怎么安装?

在终端执行 npx skills add https://github.com/wondelai/skills --skill hooked-ux。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hooked-ux 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hooked-ux 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

hooked-ux 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

hooked-ux 用的人多吗?

公开数据是累计安装 39,936 次,近一周安装 1,608 次,下载 12,928 次,GitHub 779 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hooked-ux 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
hooked-ux

着迷的用户体验 · 本页

39,936779只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Hook Model Framework

Framework for building habit-forming products. Based on a fundamental truth: habits are not created—they are built through successive cycles through the Hook.

Core Principle

The Hook Model = a four-phase process that connects the user's problem to your solution frequently enough to form a habit.

Trigger → Action → Variable Reward → Investment
    ↑                                      │
    └──────────────────────────────────────┘

Habit Zone: Products enter the "habit zone" when used frequently enough and with enough perceived value. The goal is to move users from deliberate usage to automatic, habitual behavior.

Scoring

Goal: 10/10. When reviewing or creating product engagement mechanics, rate them 0-10 based on adherence to the principles below. A 10/10 means full alignment with all guidelines; lower scores indicate gaps to address. Always provide the current score and specific improvements needed to reach 10/10.

The Four Phases

1. Trigger

Core concept: The actuator of behavior. What prompts the user to take action? Triggers come in two forms: external (environment-driven) and internal (emotion-driven). The ultimate goal is to move users from external triggers to internal triggers.

Why it works: Every habit starts with a cue. Without a trigger, there is no behavior. External triggers get users started, but internal triggers — emotions like boredom, loneliness, uncertainty, or fear of missing out — are what drive unprompted, habitual usage. When your product becomes the automatic response to an internal trigger, you have a habit.

Key insights:

  • External triggers (push notifications, emails, buttons, ads, word of mouth) initiate behavior early on
  • Internal triggers (emotions, routines, situations) are the ultimate goal — users prompt themselves
  • The goal is to move users from external triggers to internal triggers over time
  • Map your product to the specific negative emotion it resolves (boredom, loneliness, confusion, FOMO)
  • Effective external triggers must be well-timed, actionable, and lead to the simplest possible next action

Product applications:

ContextApplicationExample
OnboardingUse external triggers to establish first loopWelcome email with one clear action to take
RetentionMap product to internal emotional triggerInstagram resolves boredom; Google resolves confusion
Re-engagementExternal triggers bridge gaps until habit formsPush notification: "Your friend just posted a photo"
Emotion mappingIdentify which negative emotion your product addressesLoneliness → Facebook; Uncertainty → Twitter/News apps
Trigger auditEvaluate if users still need external promptsIf yes after 30 days, internal trigger hasn't formed

Copy patterns:

  • "You might be wondering about..." (hooks into uncertainty)
  • "Don't miss what happened while you were away" (FOMO trigger)
  • "Your friend just..." (social/external trigger bridging to internal)
  • "Pick up where you left off" (routine trigger)
  • Notification copy should name the emotion: "Curious what's new?"

Ethical boundary: Never exploit vulnerable emotional states (depression, addiction, grief) as triggers. Triggers should connect users to genuine value, not manufacture anxiety to drive opens.

See: references/triggers.md for detailed trigger design, emotion mapping, and external-to-internal transition strategies.

2. Action

Core concept: The simplest behavior done in anticipation of a reward. Guided by the Fogg Behavior Model: B = MAT (Behavior = Motivation + Ability + Trigger). All three must converge at the same moment for action to occur.

Why it works: Increasing motivation is hard and unreliable. Reducing friction (increasing ability) is easier and often more effective. The key insight is that making the action simpler is almost always a better strategy than trying to increase motivation. Every extra step, field, or decision is a point where users drop off.

Key insights:

  • Fogg Behavior Model: Behavior = Motivation x Ability x Trigger — all three must be present simultaneously
  • Six elements of simplicity (ability): time, money, physical effort, brain cycles, social deviance, non-routine
  • Increasing ability (reducing friction) is almost always more effective than increasing motivation
  • The action should be the simplest behavior in anticipation of the reward — not the full task
  • Hick's Law: more choices = slower decisions; reduce options to increase action rate

Product applications:

ContextApplicationExample
Signup flowMinimize fields and steps to reduce frictionOne-click Google/Apple sign-in instead of form
Core actionMake the key behavior completable in secondsTwitter: type 280 characters and post (vs. write a blog)
Simplicity auditEvaluate each of the six ability factorsCan user complete core action in under 60 seconds?
Progressive disclosureAsk for more only after initial rewardDuolingo: play first, create account later
Friction removalIdentify and eliminate unnecessary stepsAutocomplete, defaults, skip options, smart prefills

Copy patterns:

  • "Just one tap to..." (emphasizes simplicity)
  • "Takes less than 60 seconds" (time simplicity)
  • "No credit card required" (money/risk simplicity)
  • "We've set up defaults for you" (brain cycle simplicity)
  • Buttons should be verbs: "Post", "Save", "Share" — not "Submit" or "Continue"

Ethical boundary: Reducing friction should make genuinely valuable actions easier — not trick users into actions they'd regret. Dark patterns that hide costs or consequences behind simple actions are unethical.

See: references/triggers.md for how triggers connect to the action phase, and references/product-applications.md for action design across product types.

3. Variable Reward

Core concept: The phase that keeps users coming back. The anticipation of reward — not the reward itself — creates dopamine. Critically, rewards must be variable (unpredictable) to maintain engagement. Predictable rewards lose their power over time.

Why it works: The brain's dopamine system responds most strongly to the anticipation of uncertain rewards, not to the rewards themselves. This is the slot machine effect: variable reinforcement schedules are far more engaging than fixed ones. Three types of variable rewards — tribe (social), hunt (resources), and self (mastery) — tap into fundamental human drives.

Key insights:

  • Dopamine spikes during anticipation of uncertain reward, not upon receiving it
  • Three types: Tribe (social validation), Hunt (search for resources/information), Self (personal mastery)
  • Predictable rewards lose power; variability is what sustains engagement
  • The "slot machine effect": uncertainty is what makes rewards compelling
  • Autonomy is critical — users must feel in control; forced engagement backfires
  • Finite variability (limited content) eventually becomes predictable; aim for infinite variability

Product applications:

ContextApplicationExample
Social features (Tribe)Variable social validation from othersInstagram likes, Reddit upvotes — you never know how many
Content feeds (Hunt)Unpredictable stream of resources/informationInfinite scroll with algorithmically varied content
Gamification (Self)Personal accomplishment with variable difficultyDuolingo streaks + surprise bonus challenges
NotificationsVariable content in each notification"3 people liked your post" vs. "Sarah commented something surprising"
Search/DiscoveryThe hunt for the next great findPinterest: scroll to find the perfect pin; eBay: hunt for deals

Copy patterns:

  • "See what's new" (implies variability — you don't know what you'll find)
  • "You won't believe what happened next" (curiosity + variable reward)
  • "3 people responded to your post" (tribe reward, variable quantity)
  • "You've unlocked a new achievement!" (self reward, unexpected)
  • "Trending now..." (hunt reward — the feed changes every time)

Ethical boundary: Variable rewards should deliver genuine value, not exploit compulsive behavior. If users consistently feel worse after engaging (regret, time loss, anxiety), the reward system is extractive, not valuable. Avoid infinite scroll without natural stopping points for vulnerable users.

See: references/rewards.md for reward design patterns, reinforcement schedules, and reward timing.

4. Investment

Core concept: The phase that increases the likelihood of another pass through the Hook. Users invest something — time, data, effort, social capital, or money — that improves the product for next use and raises switching costs. Investment loads the next trigger.

Why it works: People value what they put effort into (the IKEA effect). Investment creates stored value that makes the product better with use and harder to leave. Critically, investment is not about immediate reward — it's about improving the next cycle. Each investment loads the next trigger, creating a self-reinforcing loop.

Key insights:

  • IKEA effect: users value what they invest effort into, even irrationally
  • Investment creates switching costs (data, content, reputation, skill, social connections)
  • Investment should come after reward, not before — users invest when they feel good
  • Each investment should load the next trigger (creating content triggers notifications when someone responds)
  • Small investments compound: preferences lead to better recommendations lead to more usage
  • Stored value increases over time, making the product harder to leave

Product applications:

ContextApplicationExample
Data investmentPreferences, history, uploads improve personalizationSpotify: the more you listen, the better recommendations get
Content investmentUser-created content they don't want to loseInstagram posts, Notion documents, Slack message history
Reputation investmentReviews, ratings, followers create social capitalAirbnb host ratings, Stack Overflow reputation points
Skill investmentLearning the interface creates switching costPhotoshop expertise, Vim muscle memory
Social investmentConnections and groups that exist only on platformLinkedIn network, Discord communities, Slack workspaces

Copy patterns:

  • "Personalize your experience" (inviting data investment)
  • "Complete your profile to get better matches" (investment → future value)
  • "Invite your team to collaborate" (social investment)
  • "The more you use it, the smarter it gets" (compound investment)
  • "Your history, preferences, and connections — all in one place" (switching cost reminder)

Ethical boundary: Investment should genuinely improve the user's experience. Don't make data export impossible or trap users with artificial switching costs. Ethical products let users leave with their data while making staying the better choice through real value.

See: references/product-applications.md for investment patterns across B2B SaaS, e-commerce, health apps, and productivity tools.

The Habit Zone

Two axes determine if a product can become a habit:

Low FrequencyHigh Frequency
High Perceived ValueViable product (needs ads/marketing)HABIT ZONE
Low Perceived ValueFailureFailure

Questions:

  • How often do users need to engage? (Daily, weekly, monthly?)
  • What's the perceived value of each engagement?
  • Is frequency high enough to form automatic behavior?

Habit Testing

The 5% rule: A product has formed a habit when at least 5% of users show unprompted, habitual usage.

Three questions for habit testing:

  1. Who are the habitual users?

- Which users engage most frequently? - What do they have in common?

  1. What are they doing?

- What's the "Habit Path" (common sequence of actions)? - What differentiates power users from casual users?

  1. Why are they doing it?

- What internal trigger drives the behavior? - What emotion precedes usage?

See: references/habit-testing.md for testing methodology.

The Manipulation Matrix

Framework for evaluating the ethics of habit-forming products.

Maker Uses ProductMaker Doesn't Use
Materially Improves User's LifeFacilitatorPeddler
Doesn't Improve LifeEntertainerDealer

Questions to ask:

  1. Would I use this product myself?
  2. Does it genuinely help users achieve their goals?
  3. Am I exploiting vulnerabilities or serving needs?

When NOT to Use the Hook Model

The Hook Model is inappropriate when:

  • Your product doesn't genuinely improve lives
  • You're targeting vulnerable populations (children, addiction-prone users)
  • Business model depends on user regret
  • Engagement conflicts with user wellbeing

See: references/ethical-boundaries.md for comprehensive ethics guidance.

Regulatory Context

Be aware of emerging regulations around:

  • Children's apps: COPPA, GDPR-K restrictions
  • Dark patterns: FTC enforcement increasing
  • Notification practices: Some jurisdictions regulating "addictive" features
  • Loot boxes: Gaming regulations expanding

Onboarding Audit Checklist

Optimizing onboarding for habit formation:

First Trigger

  • Is the first action obvious and easy?
  • Is the value proposition clear before asking for investment?
  • Are we using the right external trigger for this user?

First Action

  • Can the user complete the core action in under 60 seconds?
  • Have we removed all unnecessary friction?
  • Is the UI familiar (not requiring new learning)?

First Reward

  • Does the user get immediate feedback?
  • Is there a variable element (surprise, delight)?
  • Does the reward connect to an internal trigger?

First Investment

  • Do we ask for investment after reward (not before)?
  • Is the investment small but meaningful?
  • Does the investment load the next trigger?

Loop Completion

  • Is there a clear path back to the trigger?
  • Do we send external triggers at appropriate times?
  • Are we measuring progression through the Hook?

Quick Diagnostic

Audit any product feature:

QuestionIf NoAction
What's the internal trigger?Users need reminders to use itResearch user emotions
Is the action dead simple?Users start but don't completeRemove friction
Is the reward variable?Users get boredAdd unpredictability
Does investment load next trigger?Users don't returnConnect investment to triggers

Common Mistakes

MistakeWhy It FailsFix
Relying on external triggers indefinitelyUsers never form internal triggers; you're renting attention, not building habitsMap product to a specific emotion; transition from external to internal triggers within 30 days
Making the core action too complexUsers drop off before reaching the reward phaseSimplify to the minimum viable action; apply Fogg's six ability factors
Using predictable rewardsEngagement drops after novelty wears off; dopamine response fadesIntroduce variability across tribe, hunt, and self reward types
Asking for investment before rewardUsers haven't received value yet and resist investing effortAlways sequence: trigger, action, reward, THEN investment
Ignoring the ethics of your hookUser regret, backlash, regulatory risk, brand damageUse the Manipulation Matrix; aim to be a Facilitator, not a Dealer

Reference Files

Further Reading

This skill is based on the Hook Model developed by Nir Eyal. For the complete methodology, research, and case studies:

About the Author

Nir Eyal is an author, lecturer, and investor who has taught at Stanford Graduate School of Business and the Hasso Plattner Institute of Design at Stanford. He previously worked in the gaming and advertising industries, where he gained firsthand experience with the psychology of habit-forming products. *Hooked* distills years of research and consulting into a practical framework used by product teams at startups and Fortune 500 companies worldwide. His follow-up book, *Indistractable*, addresses the other side of the equation — helping individuals manage the same behavioral triggers that make products habit-forming. Eyal writes extensively about the intersection of psychology, technology, and business at NirAndFar.com.

平台分布

Codex

38.11%
按下载量换算4,927

Claude

31.85%
按下载量换算4,118

Cursor

18.06%
按下载量换算2,335

Gemini CLI

9.89%
按下载量换算1,279

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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