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v3ads

Lead Gen

by v3ads · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install lead-gen-x
Description
Lead generation, prospecting, and qualification for B2B sales. Use when asked to find leads, build prospect lists, research target companies, qualify leads a...
README (SKILL.md)

Lead Generation Skill

Build targeted, qualified prospect lists and enrich them with decision-maker data. Output is pipeline-ready — not raw noise.

Workflow

1. Define the ICP (Ideal Customer Profile)

Ask if not provided:

  • Industry/vertical: (e.g. SaaS, e-commerce, professional services)
  • Company size: (employees or revenue range)
  • Geography: (country, region, or global)
  • Job titles to target: (e.g. Head of Marketing, VP Sales, Founder)
  • Pain point or trigger event: (e.g. recently funded, hiring for X role, using competitor Y)

2. Build the Target Company List

Use web_search with precision queries. See references/search-playbook.md for query templates.

Effective discovery sources:

  • LinkedIn Sales Navigator signals (via search queries)
  • G2/Capterra category pages (companies using specific software)
  • Crunchbase (funded companies by stage, industry, date)
  • Job boards (companies hiring = growing = buying)
  • Industry directories and association member lists
  • Subreddits and communities where ICP hangs out

3. Find Decision Makers

For each target company:

  • Search "[company] [job title] LinkedIn" to identify names
  • Use web_search to find personal/professional profiles
  • Cross-reference company About/Team pages

4. Enrich Contacts

For each contact, gather:

  • Full name, title, company
  • LinkedIn URL
  • Email format (guess from pattern: [email protected], [email protected])
  • Company size, industry, location
  • Recent trigger events (new role, funding, product launch)

Run scripts/enrich_leads.py to format and score the list.

5. Score & Prioritize

Score each lead 1–10 using the rubric in references/scoring-rubric.md:

  • ICP fit (industry, size, title match)
  • Buying signals (trigger events, tech stack, intent)
  • Reachability (email confidence, LinkedIn activity)
  • Timing (recently funded, new hire, Q1 budget cycle)

6. Output Format

Deliver as a CSV-ready table + summary:

Name Title Company Industry Size Email (est.) LinkedIn Score Notes

Include:

  • Total leads found
  • Score distribution
  • Top 10 "strike now" leads highlighted
  • Suggested outreach angle per segment

See references/search-playbook.md for advanced search query patterns. See references/email-formats.md for common company email format patterns.

Usage Guidance
This skill appears to do what it claims: collect and score prospects using web search and a local Python scoring script. Before installing/use: (1) be aware that automated scraping of LinkedIn, Crunchbase, G2, etc. may violate those sites' terms of service and could trigger rate-limits — prefer API use where allowed; (2) if you plan to automate lookups with services like hunter.io or Crunchbase APIs, you'll need to provision and protect API keys (the skill currently requests none); (3) the repo references an email-formats doc that is missing — check the author-provided docs for completeness; (4) review privacy/regulatory obligations for storing and contacting personal data (GDPR/CCPA) and ensure consent where required; and (5) since the included script only uses the Python standard library and works on local input JSON, inspect how the agent's web_search tool is implemented in your environment to understand any network or data-exfiltration risks.
Capability Analysis
Type: OpenClaw Skill Name: lead-gen-x Version: 1.0.0 The Lead-Gen-X skill bundle is a legitimate tool for B2B sales prospecting and lead scoring. The core logic in 'scripts/enrich_leads.py' is a standard data processing script that calculates scores based on user-provided criteria without any network access, shell execution, or sensitive file interactions. The instructions in 'SKILL.md' and the search templates in 'references/search-playbook.md' are well-aligned with the stated purpose of lead generation and do not contain any malicious prompt injection or exfiltration attempts.
Capability Assessment
Purpose & Capability
Name/description match the included assets: SKILL.md describes web-based prospecting and enrichment and the repo contains a local enrichment/scoring script. No unexpected binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md instructs the agent to use web_search and manual sources (LinkedIn, Crunchbase, G2, job boards) and to run scripts/enrich_leads.py to format/score results. Instructions do not tell the agent to read unrelated system files or to send collected data to hidden endpoints. Note: the doc references references/email-formats.md which is not present in the file manifest — small documentation inconsistency.
Install Mechanism
No install spec; this is instruction-plus-script only. The included Python script uses only stdlib modules and will not fetch or execute remote code during normal runs.
Credentials
The skill declares no required environment variables or credentials. The instructions mention third-party web services (hunter.io, Crunchbase) as search sources but do not require API keys or other secrets in the package; if automated usage of those services is added later, credentials would be needed.
Persistence & Privilege
always is false and the skill does not request permanent agent presence or modify other skills. It runs as-invoked and uses a local script for processing.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install lead-gen-x
  3. After installation, invoke the skill by name or use /lead-gen-x
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of lead-gen skill for B2B lead generation and qualification. - Supports building targeted, qualified prospect lists for B2B sales. - Guides users to define/refine ICP (industry, size, geography, title, pain point). - Uses web search and enrichment tactics to identify decision-makers and contact data. - Scores and prioritizes leads based on ICP fit, buying signals, and reachability. - Outputs pipeline-ready, CSV-formatted lead lists with summary, scoring, and outreach suggestions.
Metadata
Slug lead-gen-x
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Lead Gen?

Lead generation, prospecting, and qualification for B2B sales. Use when asked to find leads, build prospect lists, research target companies, qualify leads a... It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.

How do I install Lead Gen?

Run "/install lead-gen-x" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Lead Gen free?

Yes, Lead Gen is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Lead Gen support?

Lead Gen is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Lead Gen?

It is built and maintained by v3ads (@v3ads); the current version is v1.0.0.

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