phy041/claude-agent-skills · Archived

lead-generation

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.

First seen Mar 4, 2026

Installation

$ npx skills add phy041/claude-agent-skills --skill lead-generation

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 16
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents clawdbot

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,674 B
  • docs SUMMARY.md 324 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

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 webfetch/websearch 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):

Signal Points
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)