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conversionconversion 搜索

Agent Skill

conversion 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

247

周安装

10

GitHub Stars

168

下载量

78
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:conversion(conversion 搜索)
来源仓库:https://github.com/whawkinsiv/claude-code-skills
仓库路径:skills/conversion
安装命令:
npx skills add https://github.com/whawkinsiv/claude-code-skills --skill conversion
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/whawkinsiv/claude-code-skills --skill conversion

简介

conversion 专注于转化率优化,识别用户流失关键节点。

  • 强调去除摩擦、加速加载速度、利用社会证明三大杠杆。
  • 主张每页应有单一明确目标,避免功能堆砌。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 适用于着陆页、广告落地页等高流量页面的性能调优。
  • conversion 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Conversion Rate Optimization

Every page has one job. If you can't name it, the page is broken. This skill helps you find where users drop off and fix it.

Core Principles

  • Friction is the enemy. Every field, click, and decision point costs conversions.
  • Don't guess — measure. But don't measure everything — measure what drives revenue.
  • Social proof is the most underused conversion lever in SaaS.
  • Speed is a feature. Every 100ms of load time costs ~1% conversion.
  • The best optimization is often removal, not addition.

Finding Your Biggest Bottleneck

Before optimizing, find where users actually drop off.

Step 1: Map Your Funnel

Typical SaaS funnel:
  Landing page visit → Signup page viewed → Account created →
  Onboarding started → Key action completed → Returned next week →
  Upgrade page viewed → Subscription created

Step 2: Measure Drop-Off

Tell AI:

Analyze our conversion funnel:
- Pull the number of users at each step: [list your funnel steps]
- Calculate the drop-off % between each step
- Identify the step with the biggest drop-off — that's our priority
- Show results in a table: Step | Users | Drop-off %

If you don't have analytics yet: Set them up first (see analytics-instrumentation skill). In the meantime, track manually: count signups, count activations, count paying customers. Even rough numbers reveal the biggest leak.

Step 3: Diagnose Why

For the biggest drop-off, evaluate the page/flow using this framework:

  1. CLARITY: Does the user know what to do and why?
  2. MOTIVATION: Is the value of completing this step obvious?
  3. FRICTION: What's making this harder than it needs to be?
  4. ANXIETY: What fears or objections might stall the user?
  5. DISTRACTION: What elements compete with the primary action?

Signup & Registration

  • Minimize fields. Email + password is ideal. Email-only or SSO is even better.
  • Defer everything else to onboarding (company name, role, team size).
  • Show password requirements before the user types, not after they fail.
  • Social login (Google, GitHub) should be visually prominent if your audience uses them.
  • Post-signup, go DIRECTLY to value — not a "check your email" dead end.

Tell AI:

Simplify our signup flow:
- Reduce to email + password (or email-only with magic link)
- Add Google Sign-In as the most prominent option
- After signup, redirect directly to onboarding (not "check your email")
- Defer all profile questions (name, company, role) to later

Pricing Page Optimization

  • Always include a recommended/highlighted tier.
  • Show annual pricing by default with monthly as a toggle.
  • Use price anchoring: show the most expensive plan first or feature the mid-tier.
  • "Free forever" converts better than "free trial" for hesitators.
  • Add FAQ section: "Can I cancel anytime?", "What happens to my data?", "Is there a setup fee?"

Tell AI:

Optimize our pricing page:
- Highlight the recommended tier with a visual badge ("Most Popular")
- Default to annual pricing (show monthly as toggle)
- Add a comparison table showing features by tier
- Add FAQ section below pricing addressing common objections
- Add social proof near the CTA: "[X] teams already use [Product]"

Trial-to-Paid Conversion

  • Reverse trial: Give full access, then downgrade — users feel loss aversion.
  • Show usage vs. plan limits: "You've used 847 of 1,000 API calls this month."
  • Trigger upgrade prompts at the moment of value, not on a timer.
  • Frame limits as growth: "Your team is growing! Upgrade to add unlimited members."

Tell AI:

Improve trial-to-paid conversion:
- Show usage meters on the dashboard: "X of Y [resource] used"
- When user hits 80% of a limit, show a gentle prompt: "You're growing! Upgrade for unlimited [resource]"
- 3 days before trial ends, show banner: "Your trial ends [date]. Keep everything by upgrading."
- After trial ends, downgrade features but keep their data intact

Form Optimization

  • Multi-step forms convert 20-40% better than single long forms.
  • Show progress: "Step 2 of 3"
  • Start with easy/engaging questions (not name/email).
  • Use smart defaults: pre-select the most common option.
  • Inline validation on blur. Show checkmarks for completed fields.

Tell AI:

Convert our [signup/onboarding] form to multi-step:
- Step 1: The easiest, most engaging question
- Step 2: The information we need to deliver value
- Step 3: Account details (email, password)
- Add progress indicator ("Step 2 of 3")
- Validate inline on blur with green checkmarks
- Use appropriate input types (email, tel, number) for mobile keyboards

Behavioral Triggers

TriggerHow to Use It
Loss aversion"Your free trial ends in 3 days" > "Upgrade now"
Social proof"4,200 teams signed up this month"
AnchoringShow the "before" (manual, slow) vs. "after" (with your product)
Commitment/consistencySmall yes → big yes. Free tool → signup → paid.
Scarcity (use honestly)"3 spots left in this cohort" (only if true)

Tell AI:

Add social proof and behavioral triggers to our [signup/pricing/landing] page:
- Add a live counter or recent activity: "[X] teams signed up this month"
- Add testimonial quotes near the CTA
- Add trust badges near payment forms (SSL, money-back guarantee)
- Frame the CTA as low-commitment: "Start free — no credit card required"

A/B Testing (Simple Version)

You don't need complex testing infrastructure. Here's the bootstrapped founder approach:

When to A/B Test

  • You have at least 100 users/week going through the flow
  • You have a specific hypothesis, not just "let's try something different"
  • The change is significant enough to matter (button color doesn't matter; headline copy does)

How to Run a Test

Tell AI:

Set up a simple A/B test:
- Create a feature flag that splits users 50/50
- Variant A: [current version]
- Variant B: [proposed change]
- Track [conversion event] for both variants
- Run until we have 100+ users per variant (or 2 weeks, whichever is longer)
- Show me the conversion rate for each variant

Reading Results

  • >20% difference: Likely real. Ship the winner.
  • 5-20% difference: Might be real. Run longer or test with more users.
  • <5% difference: Probably noise. Either change doesn't matter or your test needs more volume.

Rule: Don't peek at results daily and stop early. Set a duration and stick to it.


What to Measure

MetricWhat It Tells You
Signup rate (visitor → account)Is your landing page compelling?
Activation rate (account → key action)Is your onboarding working?
Trial-to-paid conversionIs your product delivering enough value?
Time to valueHow fast do users reach "aha"?
Expansion revenue triggersWhat behavior precedes upgrades?

Common Mistakes

MistakeFix
Optimizing low-traffic pagesFocus on your highest-traffic funnel step
A/B testing button colorsTest headlines, CTAs, and page structure instead
Adding more fields "for data"Every field costs conversions. Defer to later.
Ignoring mobile50%+ of traffic is mobile. Test there first.
Complex testing tools at small scaleFeature flags are enough until 1,000+ users/week

Related Skills

  • growth — PLG strategy, activation, and viral loops
  • landing-page — Build and optimize the pages driving conversions
  • pricing — Pricing page optimization and tier design
  • analytics — Track funnel metrics and measure experiments
  • copywriting — Write CTAs and headlines that convert

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.72%
按下载量换算29

Claude

32.45%
按下载量换算25

Cursor

18.81%
按下载量换算15

Gemini CLI

8.39%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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