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Lynqu lead research

Skill Gravisun/lynqu-ai-toolkit/skills/lynqu-lead-research

Open-source Claude Skills + MCP for AI lead capture, lead research, sales follow-up & pipeline management — run Lynqu from Claude, ChatGPT & Cursor.

Install
npx -y skills add Gravisun/lynqu-ai-toolkit --skill lynqu-lead-research

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Find and qualify target accounts and decision-makers before an event or outbound campaign, then create them as leads in Lynqu. Use for AI lead research, lead generation, prospecting, building a target account list, or "who should we talk to" — especially before a conference, trade show, or campaign. Requires the Lynqu MCP server connected (https://api.lynqu.com/mcp/v2).

SKILL.md

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Lynqu Lead Research

Turn a fuzzy "who should we go after?" into a ranked, qualified target list that lands directly in your Lynqu pipeline.

When to use this

  • Building a target account list for an event, campaign, or territory.
  • Researching companies/people you're about to meet.
  • Qualifying inbound interest against your ICP before working it.

Prerequisites

  • Lynqu MCP connected (org server /mcp/v2). See ../../docs/mcp/connect.md.
  • An AI-tier plan to run write tools.

Workflow

  1. Anchor on the ICP. Ask the user (or infer from existing won leads) for: industry, company size, geography, role/title of the decision-maker, and the pain Lynqu solves for them. If they're unsure, pull signal from what's already working: call list-leads and get-lead on a few won leads to see common firmographics.
  2. Understand the current book. Call get-org-summary and list-campaigns so you don't research accounts already in flight. Use search-contacts to check whether a candidate is already known.
  3. Research candidates. Using your own web/search capabilities, assemble a shortlist. For each: company, why it fits the ICP, a named decision-maker, their role, a public profile link, and a growth/trigger signal (hiring, funding, expansion, attending the same event).
  4. Score the fit (1–10). Rank on ICP match + buying signal. Show the user the ranked table and let them prune before anything is written.
  5. Create leads for the keepers. For each approved candidate call create-lead with name, company, role, source ("research"), and a note capturing the fit rationale via add-lead-note. If researching for a specific campaign, attach-leads-to-campaign.
  6. Hand off. Summarize what was created and suggest the next skill — usually lynqu-sales-followup for outreach or lynqu-lead-management to set stages and owners.

Tools used

get-org-summary, list-campaigns, search-contacts, list-leads, get-lead, create-lead, add-lead-note, attach-leads-to-campaign.

Guardrails

  • Never invent contact data. If you can't verify an email/phone, leave it blank and note "unverified" rather than guessing.
  • Confirm before writing. Show the ranked list and get a go-ahead before calling create-lead — research is cheap to redo, a polluted pipeline isn't.
  • Respect the role gate: attach-leads-to-campaign is employee-level, but campaign creation needs manager+.

Example

"Build me a list of 10 mid-market SaaS companies in the DACH region attending SaaStr Europe, find a VP of Sales or RevOps lead at each, score them for Lynqu, and create leads for anything 7+."

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.