firecrawl-lead-research

Produce pre-meeting lead intelligence briefs with Firecrawl. Use when the user needs company research, person research, recent news, talking points, pain points, or outreach preparation before a sales call, partnership meeting, investor conversation, or customer interview.

npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-lead-research

Firecrawl Lead Research

Use this to create a concise, actionable pre-meeting brief.

Onboarding Interview

Infer the company, person, meeting context, and desired brief depth from context. If the company is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the company/person to research or the meeting context.

Firecrawl Collection Plan

Use Firecrawl search and scrape to gather:

  • company website, about, product, pricing, careers, team, and customer pages
  • recent news, funding, launches, hiring, partnerships, and press
  • public person profiles, talks, posts, interviews, and role/background
  • relevant industry context and likely business challenges

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners:

  • Company Profile researcher
  • Recent News and Activity researcher
  • Person researcher
  • Industry/Pain Point researcher

Each researcher should return source URLs and only evidence-backed claims.

Final Deliverable

# Lead Brief: [Company]

## Company Overview
[What they do, stage/size signals, products, customers]

## Recent Activity
[News, launches, funding, hiring, partnerships]

## Key People
[Relevant people and public background]

## Talking Points
[5-7 specific conversation starters]

## Likely Pain Points
[Evidence-backed hypotheses]

## Outreach Angle
[Suggested positioning or next step]

## Sources
[URLs used]

## Rerun Inputs
workflow: firecrawl-lead-research
company: [name/url]
person: [optional]
context: [meeting context]

Quality Bar

  • Keep it concise and useful before a meeting.
  • Do not fabricate personal details.
  • Clearly separate facts from inferred pain points.

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