nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Generate landing page content from PRD — hero section, features, A/B headline variants, CTA, and SEO meta tags. Use when user says "create landing page", "write landing copy", "hero section", "A/B headlines", or "landing content". Can scaffold actual pages for astro-static. Do NOT use for SEO auditing (use /seo-audit).
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install fortunto2/solo-landing-gen打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Generate landing page content from a project's PRD. Produces hero section, features, social proof, CTA, SEO meta tags, and A/B headline variants. If astro-static stack detected, can scaffold actual page files.
kb_search(query) — find related methodology (conversion, copywriting)project_info(name) — get project stack and detailsweb_search(query) — competitor landing analysisIf MCP tools are not available, fall back to Glob + Grep + Read.
Parse project from $ARGUMENTS.
Detect stack:
astro.config.* → astro-static (can scaffold page)next.config.* → Next.js (can scaffold route)Extract landing inputs from PRD/README:
Competitor landing analysis (optional, if MCP/WebSearch available):
Forced reasoning — conversion strategy: Before generating, write out:
Generate landing content:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# /landing-gen
Generate landing page content from a project's PRD. Produces hero section, features, social proof, CTA, SEO meta tags, and A/B headline variants. If astro-static stack detected, can scaffold actual page files.
## MCP Tools (use if available)
- `kb_search(query)` — find related methodology (conversion, copywriting)
- `project_info(name)` — get project stack and details
- `web_search(query)` — competitor landing analysis
If MCP tools are not available, fall back to Glob + Grep + Read.
## Steps
1. **Parse project** from `$ARGUMENTS`.
- Read PRD, README, or research.md for product info.
- If empty: ask via AskUserQuestion.
2. **Detect stack:**
- Check for `astro.config.*` → astro-static (can scaffold page)
- Check for `next.config.*` → Next.js (can scaffold route)
- Otherwise: generate content-only markdown
3. **Extract landing inputs** from PRD/README:
- **Problem:** 1 sentence pain statement
- **Solution:** 1 sentence product description
- **ICP:** Target user persona
- **Features:** Top 3-4 differentiating features with descriptions
- **Competitors:** From research.md (if exists) — for positioning
- **Pricing:** If available
4. **Competitor landing analysis** (optional, if MCP/WebSearch available):
- Search for top 3 competitor landing pages
- Note: headline patterns, CTA language, social proof types
- Identify positioning gaps
5. **Forced reasoning — conversion strategy:**
Before generating, write out:
- **Primary conversion:** What's the ONE action? (sign up / download / buy)
- **Objections:** Top 3 reasons someone wouldn't convert
- **Trust signals:** What overcomes each objection?
- **Above the fold:** Problem + Solution + CTA — nothing else
6. **Generate landing content:**
### 6a. Hero Section
- **Headline:** Problem-focused, benefit-driven (8-12 words)
- **Subheadline:** How the product solves it (15-25 words)
- **CTA button:** Action verb + outcome ("Start Free Tria...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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