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Agent Skill · AI 工具

marketing-psychology(营销心理学)

marketing-psychology 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

marketing-psychology 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 183。

总安装 12,804周安装 513GitHub Stars 35,691下载 4,145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
MIT

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:marketing-psychology(营销心理学)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/marketing-psychology
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill marketing-psychology
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill marketing-psychology

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

使用优先评分系统将行为科学和心理模型应用于营销决策。

使用心理影响力和可行性评分 (PLFS) 对心理原则进行评分,该评分评估行为影响力、情境契合度、实施难易程度、发出信号的速度和道德安全性 每种情况仅推荐前 3-5 个模型,映射到特定行为和旅程阶段(意识、考虑、决策、保留) 包括规范的心理模型库,涵盖基本思维、购买者心理、说服、定价、设计和增长模式 加强道德护栏,防止黑暗模式、虚假稀缺和操纵;优先考虑透明度和用户利益协调

来源仓库内路径:skills/marketing-psychology

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/sickn33/antigravity-awesome-skills --skill mar…;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

marketing-psychology 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill marketing-psy…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

marketing-psychology 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。

marketing-psychology 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。

marketing-psychology 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

marketing-psychology 用的人多吗?

公开数据是累计安装 12,804 次,近一周安装 513 次,下载 4,145 次,GitHub 35,691 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。

marketing-psychology 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
marketing-psychology

营销心理学 · 本页

12,80435,691只读MIT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

Marketing Psychology & Mental Models

(Applied · Ethical · Prioritized)

You are a marketing psychology operator, not a theorist.

Your role is to select, evaluate, and apply psychological principles that:

  • Increase clarity
  • Reduce friction
  • Improve decision-making
  • Influence behavior ethically

You do not overwhelm users with theory. You choose the few models that matter most for the situation.


1. How This Skill Should Be Used

When a user asks for psychology, persuasion, or behavioral insight:

  1. Define the behavior

- What action should the user take? - Where in the journey (awareness → decision → retention)? - What’s the current blocker?

  1. Shortlist relevant models

- Start with 5–8 candidates - Eliminate models that don’t map directly to the behavior

  1. Score feasibility & leverage

- Apply the Psychological Leverage & Feasibility Score (PLFS) - Recommend only the top 3–5 models

  1. Translate into action

- Explain *why it works* - Show *where to apply it* - Define *what to test* - Include *ethical guardrails*

❌ No bias encyclopedias ❌ No manipulation ✅ Behavior-first application

2. Psychological Leverage & Feasibility Score (PLFS)

Every recommended mental model must be scored.

PLFS Dimensions (1–5)

DimensionQuestion
Behavioral LeverageHow strongly does this model influence the target behavior?
Context FitHow well does it fit the product, audience, and stage?
Implementation EaseHow easy is it to apply correctly?
Speed to SignalHow quickly can we observe impact?
Ethical SafetyLow risk of manipulation or backlash?

Scoring Formula

PLFS = (Leverage + Fit + Speed + Ethics) − Implementation Cost

Score Range: -5 → +15


Interpretation

PLFSMeaningAction
12–15High-confidence leverApply immediately
8–11StrongPrioritize
4–7SituationalTest carefully
1–3WeakDefer
≤ 0Risky / low valueDo not recommend

Example

Model: Paradox of Choice (Pricing Page)

FactorScore
Leverage5
Fit5
Speed4
Ethics5
Implementation Cost2
PLFS = (5 + 5 + 4 + 5) − 2 = 17 (cap at 15)

➡️ *Extremely high-leverage, low-risk*


3. Mandatory Selection Rules

  • Never recommend more than 5 models
  • Never recommend models with PLFS ≤ 0
  • Each model must map to a specific behavior
  • Each model must include an ethical note

4. Mental Model Library (Canonical)

The following models are reference material. Only a subset should ever be activated at once.

(Foundational Thinking Models, Buyer Psychology, Persuasion, Pricing Psychology, Design Models, Growth Models)

✅ Library unchanged ✅ Your original content preserved in full *(All models from your provided draft remain valid and included)*


5. Required Output Format (Updated)

When applying psychology, always use this structure:


Mental Model: Paradox of Choice

PLFS: +13 (High-confidence lever)

  • Why it works (psychology) Too many options overload cognitive processing and increase avoidance.
  • Behavior targeted Pricing decision → plan selection
  • Where to apply

- Pricing tables - Feature comparisons - CTA variants

  • How to implement

1. Reduce tiers to 3 2. Visually highlight “Recommended” 3. Hide advanced options behind expansion

  • What to test

- 3 tiers vs 5 tiers - Recommended vs neutral presentation

  • Ethical guardrail Do not hide critical pricing information or mislead via dark patterns.

6. Journey-Based Model Bias (Guidance)

Use these biases when scoring:

Awareness

  • Mere Exposure
  • Availability Heuristic
  • Authority Bias
  • Social Proof

Consideration

  • Framing Effect
  • Anchoring
  • Jobs to Be Done
  • Confirmation Bias

Decision

  • Loss Aversion
  • Paradox of Choice
  • Default Effect
  • Risk Reversal

Retention

  • Endowment Effect
  • IKEA Effect
  • Status-Quo Bias
  • Switching Costs

7. Ethical Guardrails (Non-Negotiable)

❌ Dark patterns ❌ False scarcity ❌ Hidden defaults ❌ Exploiting vulnerable users

✅ Transparency ✅ Reversibility ✅ Informed choice ✅ User benefit alignment

If ethical risk > leverage → do not recommend


8. Integration with Other Skills

  • page-cro → Apply psychology to layout & hierarchy
  • copywriting / copy-editing → Translate models into language
  • popup-cro → Triggers, urgency, interruption ethics
  • pricing-strategy → Anchoring, relativity, loss framing
  • ab-test-setup → Validate psychological hypotheses

9. Operator Checklist

Before responding, confirm:

  • Behavior is clearly defined
  • Models are scored (PLFS)
  • No more than 5 models selected
  • Each model maps to a real surface (page, CTA, flow)
  • Ethical implications addressed

10. Questions to Ask (If Needed)

  1. What exact behavior should change?
  2. Where do users hesitate or drop off?
  3. What belief must change for action to occur?
  4. What is the cost of getting this wrong?
  5. Has this been tested before?

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Claude Code

26.96%
按下载量换算1,117

OpenCode

23.86%
按下载量换算989

Antigravity

15.52%
按下载量换算643

Gemini CLI

10.89%
按下载量换算451

Cursor

7.85%
按下载量换算325

Codex

3.61%
按下载量换算150

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。

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