nirholas/xactions/lead-generation

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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.

Install

npx vskill@latest install nirholas/xactions/lead-generation

SKILL.md

Lead Generation

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

MCP Tools Used

ToolPurpose
x_search_tweetsFind conversations by keyword/intent
x_get_profileQualify leads with profile data
x_get_tweetsAssess activity level and interests
x_get_followersCheck audience size and quality
x_get_followingIdentify 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
  1. Gather context -- For top leads (4-5), call x_get_tweets with limit: 20.
  2. Check network -- Call x_get_following for high-value leads to see competitor follows.
  3. Export lead list -- Format as structured output.

Browser Script Integration

Enhance MCP workflows with browser scripts:

GoalScript
Monitor keywords in real-timesrc/keywordMonitor.js
Analyze potential lead's audiencesrc/audienceDemographics.js
Check overlap with your audiencesrc/audienceOverlap.js
Engage with leads' contentsrc/engagementBooster.js
Auto-follow qualified leadssrc/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

Security

  • Security scanPassed, 93 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
543
Repository forks
103
Repository npm downloads, 7 days
279
7-day trend score
46

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 8 May 2026, 5 months ago.

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