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onewave-ai/claude-skills477 installs

linkedin-sales-navigator-alt

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.

How do I install this agent skill?

npx skills add https://github.com/onewave-ai/claude-skills --skill linkedin-sales-navigator-alt
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill is a collection of Markdown templates and instructions designed to assist an AI agent in sales research using publicly available LinkedIn data. It provides structured workflows for identifying prospects, building campaign lists, and formatting output. The skill contains no executable code and recommends standard industry tools for contact verification, presenting no security risks.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    1/1 file flagged

  • ZeroLeakswarn

    1 finding · Score: 69/100

What does this agent skill do?

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.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/onewave-ai/claude-skills/linkedin-sales-navigator-alt">View linkedin-sales-navigator-alt on skillZs</a>