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.
Best use case
lead-generation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
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?
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.
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.
SKILL.md Source
# 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 monitoringRelated Skills
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