Lead Generation

Published by nirholas in xactions

Review recommended14 installs

What this skill does

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.

Add Lead Generation to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "lead-generation" from https://github.com/nirholas/xactions

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/nirholas/xactions --skill lead-generation

Skill instructions

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

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}").
Search conversations -- Call x_search_tweets for each query with limit: 30. Collect unique usernames.
Qualify profiles -- Call x_get_profile for each. Filter by: has bio, followers > 100, account age > 6 months.
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
Gather context -- For top leads (4-5), call x_get_tweets with limit: 20.
Check network -- Call x_get_following for high-value leads to see competitor follows.
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

Files included

SKILL.md