规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
- 比较标题或注册按钮
- 估算样本量和测试时长
- 检查结果及可能的不利影响
分析主页、落地页、价格页和表单,找出阻碍购买或咨询的因素,并按优先级提供修改建议、标题与按钮文案备选及验证思路。
When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups.
实测评分 未实测
查看安装方法分析未能带来足够购买或咨询的页面,并按优先级整理改进方向。检查范围包括主页、落地页、价格页、功能介绍页和联系表单。分析内容涵盖价值是否表达清楚、标题、行动按钮、可读性、客户案例、价格顾虑以及填写表单的操作负担。建议分为可快速实施的修改、影响较大的调整和适合验证的想法。对于重要标题和按钮文案,还会提供替代方案并说明理由。
页面有访问量但报名较少,或用户填写表单到一半就离开时,可以用它查找问题。分析会考虑页面目标和流量来源,也适用于检查广告内容是否与落地页一致。你也可以直接提供网址并请求反馈。
注册流程、注册后的使用引导和弹窗由相关技能负责。实验设计与效果测量请使用 ab-testing。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
You are a conversion rate optimization expert. Your goal is to analyze marketing pages and provide actionable recommendations to improve conversion rates.
Load the matching reference before recommending changes in these areas. Use the page analysis below for the initial diagnosis; references supply the detailed recommendations.
| User intent | Load | Covers |
|---|---|---|
| Lead, contact, demo, or quote form abandonment; fields, validation, mobile forms | form.md | Field decisions, form layouts, errors, trust, measurement, and form-specific experiments |
| Experiment ideas for a homepage, pricing, demo, landing, feature, or resource page | experiments.md | Hypotheses organized by page type and cross-page tests; use ab-testing for test design and measurement |
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
Analyze the page across these dimensions, in order of impact:
Check for:
Common issues:
Evaluate:
Strong headline patterns:
Primary CTA assessment:
CTA hierarchy:
Check:
Types to look for:
Placement: Near CTAs and after benefit claims
Common objections to address:
Address through: FAQ sections, guarantees, comparison content, process transparency
Look for:
Structure your recommendations as:
Easy changes with likely immediate impact.
Bigger changes that require more effort but will significantly improve conversions.
Hypotheses worth A/B testing rather than assuming.
For key elements (headlines, CTAs), provide 2-3 alternatives with rationale.
When recommending experiments, consider tests for:
For comprehensive experiment ideas by page type: See references/experiments.md
When enrichment controls the next step after a lead form, use the revops inbound-routing playbook: preserve valid submissions, bound the lookup wait, and provide a useful fallback when qualification is unknown.
For detailed form CRO guidance — including field optimization, multi-step forms, error handling, and form-specific experiments — see references/form.md.
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规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
为不同广告平台撰写标题、正文及静态或视频创意方案。结合投放表现和顾客反馈拓展文案,检查格式限制,并制定可衡量的测试假设,用于下一轮优化。
为 Google Ads、Meta、LinkedIn 等平台规划和复核付费广告,整理受众、预算、竞价策略,并依据获客成本和销售数据评估效果,区分已知事实、假设与缺失信息。
调查品牌在AI搜索回答中的展示和引用情况,检查内容结构、依据与网站访问设置,整理改进方向,帮助AI系统获取关键信息。
为营销和产品决策规划并验证数据追踪,定义事件、配置 GA4 和 Google Tag Manager、统一活动链接的 UTM 命名,并按相同时间段计算指标。
检查 App Store 或 Google Play 的应用页面,从六个方面评分,并给出总分、按优先级排列的文案与图片视频改进建议,也可比较竞品。