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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.

atyachin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install atyachin/lead-generation

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

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. 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 info, target audience, pain points, competitors, keywords. Validate with user.

Generate 12-18 queries across:

  1. Pain point queries — people expressing problems
  2. Competitor frustration — complaints about alternatives
  3. Tool/solution seeking — "recommend..."
  4. Industry discussion — target audience

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

Phase 2: Lead Discovery (Repeatable)
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people

Repeat for Instagram/Reddit.

Phase 3: Scoring & Output

Score (1-10):

  • Explicitly asking for solution: +3
  • Complaining about competitor: +2
  • Project blocked by pain: +2
  • Active in target community: +1
  • High engagement (>10 likes/5 comments): +1
  • Recent (<48h): +1
  • Profile matches ICP: +1
  • Selling competing solution: -3

Tiers: 8-10 Hot, 6-7 Warm, 5 Watchlist

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

Output: Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.

Outreach:

"I had the same problem! Ended up using [Product] — it does [capability]. [URL]
(Disclosure: I work with [Product])"

Tips

  • Save profile once, reuse daily
  • Quality > quantity
  • Always disclose affiliations
  • Draft only; us...

Source information

Source
github
Repository
openclaw/skills
Path
skills/atyachin/lead-generation
Version
—
Commit
b33dc6c6d32b046ab357625838bd62844d17e62c
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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. 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 info, target audience, pain points, competitors, keywords. **Validate with user.**

Generate 12-18 queries across:
1. Pain point queries — people expressing problems
2. Competitor frustration — complaints about alternatives
3. Tool/solution seeking — "recommend..."
4. Industry discussion — target audience

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

### Phase 2: Lead Discovery (Repeatable)

```bash
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people
```

Repeat for Instagram/Reddit.

### Phase 3: Scoring & Output

**Score (1-10):**
- Explicitly asking for solution: +3
- Complaining about competitor: +2
- Project blocked by pain: +2
- Active in target community: +1
- High engagement (>10 likes/5 comments): +1
- Recent (<48h): +1
- Profile matches ICP: +1
- Selling competing solution: -3

**Tiers:** 8-10 Hot, 6-7 Warm, 5 Watchlist

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

**Output:** Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.

**Outreach:**
> "I had the same problem! Ended up using [Product] — it does [capability]. [URL]  
> (Disclosure: I work with [Product])"

## Tips

- Save profile once, reuse daily
- Quality > quantity
- Always disclose affiliations
- Draft only; us...

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