agentsclimarketplace

Linkedin sales navigator alt

Skill OneWave-AI/claude-skills/linkedin-sales-navigator-alt

172 production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI.

Install
npx -y skills add OneWave-AI/claude-skills --skill linkedin-sales-navigator-alt

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers, tracks job changes for warm outreach, and enriches contact data. Use when users need to find prospects, build lead lists, or track decision-maker movements.

SKILL.md

2.6 KB, as published. Nobody here has run it

LinkedIn Sales Navigator Alternative

Find and qualify prospects on LinkedIn without expensive subscriptions, using only publicly available information.

Contents

  • references/output-template.md — full prospect-list Markdown structure and section layout
  • references/campaigns.md — segmented campaign playbooks (new-in-role, account-based, event follow-up)
  • references/tools-and-export.md — contact-finding methods, tool stack, CSV/CRM export formats
  • references/examples.md — trigger phrases, example request, best practices

Compliance

Work only with publicly available information and respect LinkedIn's Terms of Service. Encourage official LinkedIn tools where appropriate. Aggregate public data for legitimate business development only.

Workflow

  1. Define the Ideal Customer Profile (ICP). Capture industry/sector, company size (employees, revenue), geography, tech stack, and funding stage.

  2. Identify decision-maker personas. Map the primary buyer, influencers, the economic buyer (budget holder), and the technical buyer (evaluation team).

  3. Build the search strategy. Set job-title patterns, company criteria, location filters, seniority level, and description keywords. Choose a list-building approach: account-based, role-based, industry-based, event-based (job changes, funding rounds), or geography-based.

  4. Collect and enrich data (public info only). Compile name, title, company, size, location, industry, public activity, and shared connections. Verify company details, find contact information, add personalization context, and score lead quality. See references/tools-and-export.md for discovery and verification methods.

  5. Prioritize and segment. Tag hot leads (recent job changes), warm leads (shared connections), and cold leads (no prior contact). Group by account for campaigns.

  6. Deliver the prospect list. Format the output per references/output-template.md, attach relevant campaign playbooks from references/campaigns.md, and provide export-ready data per references/tools-and-export.md.

Deliver a targeted, researched set of qualified prospects with personalization context — not just a list of names. See references/examples.md for trigger phrases and best practices.

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