lead-generation
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.
Best use case
lead-generation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using lead-generation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lead-generation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How lead-generation Compares
| Feature / Agent | lead-generation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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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