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.
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.
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 atyachin/lead-generation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。
Find high-intent buyers from live social conversations.
Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
Ask for product reference (website/GitHub/description). Use web_fetch/web_search to research. Build profile: product info, target audience, pain points, competitors, keywords. Validate with user.
Generate 12-18 queries across:
Save to data/lead-generation/product-profile.json and search-queries.json.
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people
Repeat for Instagram/Reddit.
Score (1-10):
Tiers: 8-10 Hot, 6-7 Warm, 5 Watchlist
Deduplicate via data/lead-generation/sent-leads.json (key: {platform}:{author}:{post_id}).
Output: Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.
Outreach:
"I had the same problem! Ended up using [Product] — it does [capability]. [URL]
(Disclosure: I work with [Product])"
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。
# Lead Generation
**Find high-intent buyers from live social conversations.**
Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.
## Setup
Run `xpoz-setup` skill. Verify: `mcporter call xpoz.checkAccessKeyStatus`
## 3-Phase Process
### Phase 1: Product Research (One-Time)
Ask for product reference (website/GitHub/description). Use `web_fetch`/`web_search` to research. Build profile: product info, target audience, pain points, competitors, keywords. **Validate with user.**
Generate 12-18 queries across:
1. Pain point queries — people expressing problems
2. Competitor frustration — complaints about alternatives
3. Tool/solution seeking — "recommend..."
4. Industry discussion — target audience
Save to `data/lead-generation/product-profile.json` and `search-queries.json`.
### Phase 2: Lead Discovery (Repeatable)
```bash
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people
```
Repeat for Instagram/Reddit.
### Phase 3: Scoring & Output
**Score (1-10):**
- Explicitly asking for solution: +3
- Complaining about competitor: +2
- Project blocked by pain: +2
- Active in target community: +1
- High engagement (>10 likes/5 comments): +1
- Recent (<48h): +1
- Profile matches ICP: +1
- Selling competing solution: -3
**Tiers:** 8-10 Hot, 6-7 Warm, 5 Watchlist
Deduplicate via `data/lead-generation/sent-leads.json` (key: `{platform}:{author}:{post_id}`).
**Output:** Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.
**Outreach:**
> "I had the same problem! Ended up using [Product] — it does [capability]. [URL]
> (Disclosure: I work with [Product])"
## Tips
- Save profile once, reuse daily
- Quality > quantity
- Always disclose affiliations
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