Awesome-omni-skill 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.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/devops/lead-generation" ~/.claude/skills/diegosouzapw-awesome-omni-skill-lead-generation && rm -rf "$T"

manifest: skills/devops/lead-generation/SKILL.md

source content

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