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SkillHub ClubGrow & DistributeFull StackData / AI

marketing-leads-generation

This skill provides a structured framework for B2B lead generation, defining lead types, funnel stages, gating strategies, and attribution models. It focuses on operational execution with clear tables, decision trees, and diagnostic questions. Includes practical templates and separates core fundamentals from optional AI automation.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
42
Hot score
90
Updated
March 20, 2026
Overall rating
A8.9
Composite score
7.4
Best-practice grade
C67.6

Install command

npx @skill-hub/cli install vasilyu1983-ai-agents-public-marketing-leads-generation
lead-generationmarketing-operationsb2b-salespipeline-managementdemand-gen

Repository

vasilyu1983/AI-Agents-public

Skill path: frameworks/shared-skills/skills/marketing-leads-generation

This skill provides a structured framework for B2B lead generation, defining lead types, funnel stages, gating strategies, and attribution models. It focuses on operational execution with clear tables, decision trees, and diagnostic questions. Includes practical templates and separates core fundamentals from optional AI automation.

Open repository

Best for

Primary workflow: Grow & Distribute.

Technical facets: Full Stack, Data / AI.

Target audience: Meta teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: vasilyu1983.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install marketing-leads-generation into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/vasilyu1983/AI-Agents-public before adding marketing-leads-generation to shared team environments
  • Use marketing-leads-generation for meta workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.