linkedin-sales-navigator-alt

$npx mdskill add OneWave-AI/claude-skills/linkedin-sales-navigator-alt

Identify and target prospects on LinkedIn without subscriptions by analyzing publicly available data

  • Define ideal customer profile (ICP) to narrow search scope.
  • Use decision-maker personas for targeted outreach strategies.
  • Analyze LinkedIn profiles for job titles, companies, locations, and recent activity.
  • Automatically enrich contact data with public information for qualification.

SKILL.md

.github/skills/linkedin-sales-navigator-altView on GitHub ↗
---
name: linkedin-sales-navigator-alt
description: 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.
---

# 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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