agentsclimarketplace

Prospect research

Skill panaversity/agentfactory-business-plugins/sales-revops-marketing/skills/prospect-research

Marketplace of domain-specific plugins for AI agents (Cowork, Claude Code, OpenClaw). Build autonomous business workflows for finance, banking, legal operations, and sales using modular agent skills and commands.

Install
npx -y skills add panaversity/agentfactory-business-plugins --skill prospect-research

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What its author says it does

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Activate for: prospect research, account research, company research, research prospect, account intelligence, who is, tell me about, background on, pre-call research, account profile, company profile, contact research, LinkedIn research, news on, what's happening at. NOT for: CRM data enrichment (use crm-enrichment), lead scoring (use lead-scoring), outreach message drafting (use outreach), pipeline analysis (use pipeline).

SKILL.md

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RESEARCH WORKFLOW -- EXECUTE IN ORDER

Phase 1: Input Collection

Collect before beginning research:

  1. Prospect name and title
  2. Company name and location
  3. Context: what are you selling / what is the purpose of outreach?
  4. Urgency: when is outreach planned?
  5. Any prior relationship or interaction?

Phase 2: Contact-Level Research

Gather via web search MCP (LinkedIn, company website, press):

WHO IS THIS PERSON?

  • Current role: title, scope of responsibility, team size
  • Time in current role (recent hire = impact-building mode = more receptive)
  • Career trajectory: where they came from; pattern of progression
  • Education and professional background (where relevant)
  • Recent public activity: -> LinkedIn posts in last 30 days (topics, opinions, questions asked) -> Articles written or quoted in -> Conference appearances or speaking engagements -> Interviews or podcasts

SIGNAL INTERPRETATION:

  • New to role (<18 months): HIGH receptivity -- still proving impact
  • Long tenure (>5 years): LOWER receptivity unless strong pain signal
  • Active LinkedIn poster on your problem area: HOT signal -- use as hook
  • Recent promotion: HIGH receptivity -- new responsibility = new budget

Phase 3: Account-Level Research

Gather via web search MCP, Companies House, Crunchbase:

WHAT DOES THE COMPANY ACTUALLY DO?

  • Business model (not website boilerplate -- real revenue model)
  • Market position: leader, challenger, niche player, regional specialist
  • Key clients or customer segments (if publicly known)
  • Revenue estimate (Companies House, Crunchbase, industry databases)
  • Headcount (LinkedIn company page -- trend up/down/stable)
  • Tech stack signals (job postings: what tools are mentioned?)
  • Geographic footprint

WHAT IS HAPPENING RIGHT NOW? Search for news from last 90 days:

  • Funding rounds (budget available; growth mode)
  • Major contract wins (scaling pressure)
  • Acquisitions or being acquired (change = opportunity)
  • Leadership changes (new leaders = new priorities)
  • Office or facility expansion (growth signal)
  • Regulatory news affecting their sector
  • Competitor pressure or market disruption
  • Rapid hiring (growth) or layoffs (cost pressure)

Phase 4: Signal Classification

Classify each finding:

HOT SIGNAL (outreach within 48 hours):

  • Funding announced in last 30 days
  • Major new contract announced
  • New leadership in target role (<6 months)
  • Active hiring surge in target department
  • Prospect posted about your problem area in last 14 days
  • Website pricing page visit (if tracking available)

WARM SIGNAL (outreach within 2 weeks):

  • Job posting in target department
  • Company expansion announcement
  • Industry event attendance
  • Prospect mentioned your problem area in last 60 days

WATCH (monitor; no immediate outreach):

  • General industry news
  • No specific timing pressure

Phase 5: Pain and Fit Assessment

Cross-reference company situation against ICP and product fit:

  • What is the most likely operational pain given their current situation?
  • Where specifically does our product address that pain?
  • What is the specific, stated outcome this prospect would care about?
  • What positioning resonates best for this persona + situation?

Phase 6: Hook Identification

Identify THE ONE THING that will make outreach feel personal:

  • A specific post they wrote (quote the theme, not their words)
  • A specific news event at their company (show you follow their market)
  • A specific challenge visible in their job postings
  • A specific industry trend that is affecting their business
  • A mutual connection or shared experience (if genuine)

Research Brief Output Format

PROSPECT RESEARCH BRIEF

Prospect: [Name, Title | Company | Location] Prepared: [Date] | Confidence: [HIGH / MEDIUM / LOW] ICP Match: [STRONG / MODERATE / WEAK]

-- WHO IS [NAME]? -- Career: [trajectory summary] Role scope: [responsibilities, team, tenure] Activity: [recent posts, interviews, public signals] Signal: [new to role / active poster / long tenure -- interpretation]

-- WHAT IS [COMPANY]? -- Model: [real business model, not marketing copy] Revenue: [estimate + source] Headcount: [current + trend] Tech stack: [visible signals from job postings] Position: [market position]

-- WHAT IS HAPPENING NOW? -- HOT: [event, source, date] WARM: [signal, source, date] WATCH: [context item]

-- THE SPECIFIC PAIN -- [2-3 sentences connecting their current situation to the problem your product solves]

-- THE HOOK -- [One specific, verifiable thing to reference in outreach]

-- PRODUCT FIT -- Fit: [STRONG / MODERATE / WEAK] Positioning: "[Recommended value frame for this prospect]"

-- RECOMMENDED FIRST TOUCH -- Channel: [LinkedIn / Email / Phone -- with reasoning] Tone: [peer-level / educational / ROI-focused] Goal: [discovery call / referral / event / content share] See /outreach for personalised message draft.

NEVER DO THESE

  • NEVER report unverified information without clearly labelling it as such
  • NEVER conflate two companies with similar names -- verify the entity
  • NEVER use research as a basis for outreach if ICP match is WEAK without flagging this prominently and recommending against investment
  • NEVER fabricate LinkedIn activity, news, or company data
  • NEVER produce a research brief without identifying at least one hook

Keep looking

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