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pitch-landing

@tonone-ai · 收录于 昨天 · 上游提交 2 天前

Use when asked to structure a landing page for positioning, plan a conversion-optimized page layout, or design a launch page. Examples: "landing page for product launch", "conversion-optimized layout for SaaS"

适合你,如果你需要为产品或活动设计高转化率的着陆页

/ 通过 npx 安装 校验哈希
npx oh-my-skill add tonone-ai/tonone/pitch-landing
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- tonone-ai/tonone/pitch-landing
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify tonone-ai/tonone/pitch-landing
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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~516上下文体积 · 单文件
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怎么用

商店整理自技能原文 · 版本 d6b6925 · 表述以原文为准
它做什么

根据你的产品类型和定位,Claude 会生成一个着陆页结构大纲,以表格形式列出章节顺序、目的和 CTA 策略,并包含定位锚点、社会证明位置和异议处理方式。

什么时候触发

当你要求设计产品定位、转化优化的着陆页或启动页时触发。例如,提到“产品发布着陆页”或“SaaS 的转化优化布局”等需求。

装好后可以这样说
你会得到包含章节顺序和 CTA 策略的表格。
结果会突出定位锚点和异议处理。
输出包括社会证明位置和 CTA 策略。
技能原文 SKILL.md作者撰写 · MIT · d6b6925

pitch-landing — Launch & Positioning Landing Page

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

When to use

User needs a landing page structured around product positioning, launch messaging, or conversion for a specific audience.

Workflow
  1. Identify product type and positioning anchor from user request or brief
  2. Search landing page patterns: ```bash python3 -m pitch_agent.uiux search --domain landing --query "{product_type}" --limit 3 ```
  3. Search product reasoning for audience + messaging context: ```bash python3 -m pitch_agent.uiux search --domain product --query "{product_type}" --limit 3 ```
  4. Layer in positioning: CTA strategy, social proof placement, objection handling
  5. Output section order with conversion and messaging optimization
Output format
┌─ Launch Landing Page — {product_type} ──────────────────────────────┐
│ #  │ Section            │ Purpose                    │ CTA?          │
├────┼────────────────────┼────────────────────────────┼───────────────┤
│  1 │ {section_name}     │ {purpose}                  │ Primary CTA   │
│  2 │ {section_name}     │ {purpose}                  │ —             │
│  3 │ {section_name}     │ {purpose}                  │ Secondary CTA │
│  … │ …                  │ …                          │ …             │
└────┴────────────────────┴────────────────────────────┴───────────────┘

CTA strategy:          {cta_strategy}
Social proof:          {social_proof_placement}
Objection handling:    {objection_section}
Positioning anchor:    {positioning_anchor}
Anti-patterns
  • Never structure copy without a clear positioning anchor (who it's for + what makes it different)
  • Never add sections that don't serve conversion or objection handling
  • Never place social proof after the primary CTA — it should reinforce before the ask
  • Never launch without a single, unambiguous primary CTA per viewport
Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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