Lead Generation: Install, Source and Security | FunnelSlayer
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Lead Generation

Published by phy041 in claude-agent-skills

Review recommended4 installs

What this skill does

Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.

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/phy041/claude-agent-skills

Install with the CLI

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

npx skills add https://github.com/phy041/claude-agent-skills --skill lead-generation

Skill instructions

Lead Generation

Find high-intent buyers from live social conversations.

Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.

Setup

Run xpoz-setup skill to authenticate. Verify: mcporter call xpoz.checkAccessKeyStatus

3-Phase Process

Phase 1: Product Research (One-Time)

Ask for product reference (website/GitHub/description). Use web_fetch/web_search to research. Build profile:

  • Product description
  • Target audience / ICP
  • Pain points addressed
  • Competitors
  • Keywords

Validate with user before proceeding.

Generate 12-18 search queries across:

  1. Pain point queries — people expressing problems your product solves
  2. Competitor frustration — complaints about alternatives
  3. Tool/solution seeking — "recommend a tool for..."
  4. Industry discussion — target audience conversations

Save to data/lead-generation/product-profile.json and data/lead-generation/search-queries.json.

Phase 2: Lead Discovery (Repeatable)

# Twitter posts (highest intent signal)
mcporter call xpoz.getTwitterPostsByKeywords query="QUERY" startDate="DATE"

# Poll for results (every 5s until completed)
mcporter call xpoz.checkOperationStatus operationId="op_..."

# Find relevant people
mcporter call xpoz.getTwitterUsersByKeywords query="..."

# Reddit posts (good for tool comparison threads)
mcporter call xpoz.getRedditPostsByKeywords query="QUERY" limit=10

Phase 3: Scoring & Output

Score (1-10):

SignalPoints
Explicitly asking for tool/solution+3
Complaining about named competitor+2
Project blocked by pain point+2
Active in target community+1
High engagement (>10 likes / 5 comments)+1
Recent (<48h)+1
Profile matches ICP+1
Is selling a competing product-3
Is a KOL/content creator (not a buyer)-2

Tiers: 8-10 = 🔴 Hot (outreach now), 6-7 = 🟠 Warm (monitor), 5 = Watchlist, <5 = Skip

Deduplicate via data/lead-generation/sent-leads.json (key: {platform}:{author}:{post_id}).

Output format for each lead:

🔴 HOT LEAD (Score: 8/10)
@username | Job Title | Platform
"Quote from their post..."
URL: https://...
Posted: X days ago | Y likes, Z replies

Why: [Signal breakdown]

Outreach draft:
"Had the exact same problem — we ended up building [solution].
Happy to share what worked. (Disclosure: I work on [Product])"

Query Limitations (Xpoz)

Xpoz uses split-word matching, NOT phrase matching.

  • "brand voice" → matches "brand" OR "voice" → noisy results
  • FIX: Use domain-specific compound terms with unique identifiers
  • Competitor queries work best because competitor names are unique

Tips

  • Save product profile once, reuse daily
  • Quality > quantity — filter aggressively
  • Always disclose affiliations in outreach drafts
  • Drafts only — user reviews before sending
  • Daily budget: ~6 queries/day on free tier (~5,000 credits total)

Files included

  • SKILL.md

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