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-make

By onewave-ai · 456 installs

npx skills add onewave-ai/claude-skills --skill linkedin-sales-navigator-alt

Source repository · Upstream listing

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.