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Lead generation

Skill PHY041/claude-agent-skills/skills/lead-generation

Collection of Claude Code Agent Skills for founders, indie hackers, and growth engineers

Install
npx -y skills add PHY041/claude-agent-skills --skill lead-generation

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What its author says it does

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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.

SKILL.md

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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)

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.