# Lead Generation

> Finds and qualifies B2B leads from X/Twitter conversations using keyword search, profile analysis, and intent scoring. Combines MCP tools for automated prospecting pipelines. Use when prospecting, finding potential customers, or mining social conversations for leads.

- Skill: `nirholas/lead-generation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add nirholas/lead-generation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nirholas/lead-generation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: Apache-2.0
- Author: nirholas (https://skillmd.com/u/nirholas)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/nirholas/lead-generation

---


# Lead Generation

MCP-powered workflow for finding and qualifying B2B leads from X/Twitter conversations and profiles.

## MCP Tools Used

| Tool | Purpose |
|------|---------|
| `x_search_tweets` | Find conversations by keyword/intent |
| `x_get_profile` | Qualify leads with profile data |
| `x_get_tweets` | Assess activity level and interests |
| `x_get_followers` | Check audience size and quality |
| `x_get_following` | Identify competitor usage / peer network |

## Workflow

1. **Define search queries** -- Build 3-5 keyword queries combining pain points, competitor names, or buying signals (e.g., "looking for {tool}", "anyone recommend {category}", "switching from {competitor}").
2. **Search conversations** -- Call `x_search_tweets` for each query with `limit: 30`. Collect unique usernames.
3. **Qualify profiles** -- Call `x_get_profile` for each. Filter by: has bio, followers > 100, account age > 6 months.
4. **Score intent** -- Assign 1-5 score:
   - 5: Explicit buying intent ("need a tool for...", "budget approved")
   - 4: Comparing solutions ("X vs Y", "switching from")
   - 3: Pain point discussion ("struggling with...")
   - 2: Topic interest (engages with industry content)
   - 1: Tangential mention
5. **Gather context** -- For top leads (4-5), call `x_get_tweets` with `limit: 20`.
6. **Check network** -- Call `x_get_following` for high-value leads to see competitor follows.
7. **Export lead list** -- Format as structured output.

## Browser Script Integration

Enhance MCP workflows with browser scripts:

| Goal | Script |
|------|--------|
| Monitor keywords in real-time | `src/keywordMonitor.js` |
| Analyze potential lead's audience | `src/audienceDemographics.js` |
| Check overlap with your audience | `src/audienceOverlap.js` |
| Engage with leads' content | `src/engagementBooster.js` |
| Auto-follow qualified leads | `src/automation/keywordFollow.js` |

## Output Template

```
## Lead List: {search_topic}
Generated: {date} | Total qualified: {count}

| Username | Score | Followers | Signal | Tweet URL |
|----------|-------|-----------|--------|-----------|
| @{user}  | {1-5} | {count}   | {type} | {url}     |

### High-Priority Leads (Score 4-5)

**@{username}** -- Score: {n}/5
- Signal: "{tweet excerpt}"
- Bio: {bio}
- Suggested approach: {personalized outreach note}
```

## Tips
- Run searches at different times to catch varied audiences
- Refresh weekly -- buying signals are time-sensitive
- Cross-reference with `x_get_followers` to find warm intros
- Use `src/keywordMonitor.js` for ongoing keyword monitoring