Account Research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
$ npx promptcreek add account-research-37c0f6Auto-detects your installed agents and installs the skill to each one.
What This Skill Does
This skill provides a complete overview of any company or person before outreach, leveraging web search and optionally enrichment and CRM data. It gathers company information, recent news, hiring signals, key people, and product/service details. Connecting enrichment and CRM tools enhances the research with verified emails, phone numbers, and relationship history.
When to Use
- Researching a company before a sales call.
- Looking up the CTO of a target company.
- Gathering intel on a specific company's website.
- Finding information about a person before meeting them.
- Preparing for a meeting with a potential client.
Key Features
Installation
$ npx promptcreek add account-research-37c0f6Auto-detects your installed agents (Claude Code, Cursor, Codex, etc.) and installs the skill to each one.
View Full Skill Content
Account Research
Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ ACCOUNT RESEARCH │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone via web search) │
│ ✓ Company overview: what they do, size, industry │
│ ✓ Recent news: funding, leadership changes, announcements │
│ ✓ Hiring signals: open roles, growth indicators │
│ ✓ Key people: leadership team from LinkedIn │
│ ✓ Product/service: what they sell, who they serve │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + Enrichment: verified emails, phone, tech stack, org chart │
│ + CRM: prior relationship, past opportunities, contacts │
└─────────────────────────────────────────────────────────────────┘
Getting Started
Just tell me who to research:
- "Research Stripe"
- "Look up the CTO at Notion"
- "Intel on acme.com"
- "Who is Sarah Chen at TechCorp?"
- "Tell me about [company] before my call"
I'll run web searches immediately. If you have enrichment or CRM connected, I'll pull that data too.
Connectors (Optional)
Connect your tools to supercharge this skill:
| Connector | What It Adds |
|-----------|--------------|
| Enrichment | Verified emails, phone numbers, tech stack, org chart, funding details |
| CRM | Prior relationship history, past opportunities, existing contacts, notes |
> No connectors? No problem. Web search provides solid research for any company or person.
Output Format
# Research: [Company or Person Name]
Generated: [Date]
Sources: Web Search [+ Enrichment] [+ CRM]
Quick Take
[2-3 sentences: Who they are, why they might need you, best angle for outreach]
Company Profile
| Field | Value |
|-------|-------|
| Company | [Name] |
| Website | [URL] |
| Industry | [Industry] |
| Size | [Employee count] |
| Headquarters | [Location] |
| Founded | [Year] |
| Funding | [Stage + amount if known] |
| Revenue | [Estimate if available] |
What They Do
[1-2 sentence description of their business, product, and customers]
Recent News
- [Headline] — [Date] — [Why it matters for your outreach]
- [Headline] — [Date] — [Why it matters]
Hiring Signals
- [X] open roles in [Department]
- Notable: [Relevant roles like Engineering, Sales, AI/ML]
- Growth indicator: [Hiring velocity interpretation]
Key People
[Name] — [Title]
| Field | Detail |
|-------|--------|
| LinkedIn | [URL] |
| Background | [Prior companies, education] |
| Tenure | [Time at company] |
| Email | [If enrichment connected] |
Talking Points:
- [Personal hook based on background]
- [Professional hook based on role]
[Repeat for relevant contacts]
Tech Stack [If Enrichment Connected]
| Category | Tools |
|----------|-------|
| Cloud | [AWS, GCP, Azure, etc.] |
| Data | [Snowflake, Databricks, etc.] |
| CRM | [e.g. Salesforce, HubSpot] |
| Other | [Relevant tools] |
Integration Opportunity: [How your product fits with their stack]
Prior Relationship [If CRM Connected]
| Field | Detail |
|-------|--------|
| Status | [New / Prior prospect / Customer / Churned] |
| Last Contact | [Date and type] |
| Previous Opps | [Won/Lost and why] |
| Known Contacts | [Names already in CRM] |
History: [Summary of past relationship]
Qualification Signals
Positive Signals
- ✅ [Signal and evidence]
- ✅ [Signal and evidence]
Potential Concerns
- ⚠️ [Concern and what to watch for]
Unknown (Ask in Discovery)
- ❓ [Gap in understanding]
Recommended Approach
Best Entry Point: [Person and why]
Opening Hook: [What to lead with based on research]
Discovery Questions:
- [Question about their situation]
- [Question about pain points]
- [Question about decision process]
Sources
Execution Flow
Step 1: Parse Request
Identify what to research:
- "Research Stripe" → Company research
- "Look up John Smith at Acme" → Person + company
- "Who is the CTO at Notion" → Role-based search
- "Intel on acme.com" → Domain-based lookup
Step 2: Web Search (Always)
Run these searches:
- "[Company name]" → Homepage, about page
- "[Company name] news" → Recent announcements
- "[Company name] funding" → Investment history
- "[Company name] careers" → Hiring signals
- "[Person name] [Company] LinkedIn" → Profile info
- "[Company name] product" → What they sell
- "[Company name] customers" → Who they serve
Extract:
- Company description and positioning
- Recent news (last 90 days)
- Leadership team
- Open job postings
- Technology mentions
- Customer base
Step 3: Enrichment (If Connected)
If enrichment tools available:
- Enrich company → Firmographics, funding, tech stack
- Search people → Org chart, contact list
- Enrich person → Email, phone, background
- Get signals → Intent data, hiring velocity
Enrichment adds:
- Verified contact info
- Complete org chart
- Precise employee count
- Detailed tech stack
- Funding history with investors
Step 4: CRM Check (If Connected)
If CRM available:
- Search for account by domain
- Get related contacts
- Get opportunity history
- Get activity timeline
CRM adds:
- Prior relationship context
- What happened before (won/lost deals)
- Who we've talked to
- Notes and history
Step 5: Synthesize
1. Combine all sources
- Prioritize enrichment data over web (more accurate)
- Add CRM context if exists
- Identify qualification signals
- Generate talking points
- Recommend approach
Research Variations
Company Research
Focus on: Business overview, news, hiring, leadership
Person Research
Focus on: Background, role, LinkedIn activity, talking points
Competitor Research
Focus on: Product comparison, positioning, win/loss patterns
Pre-Meeting Research
Focus on: Attendee backgrounds, recent news, relationship history
Tips for Better Research
- Include the domain — "research acme.com" is more precise
- Specify the person — "look up Jane Smith, VP Sales at Acme"
- State your goal — "research Stripe before my demo call"
- Ask for specifics — "what's their tech stack?" after initial research
Related Skills
- call-prep — Full meeting prep with this research plus context
- draft-outreach — Write personalized message based on research
- prospecting — Qualify and prioritize research targets
Supported Agents
Attribution
Details
- License
- MIT
- Source
- admin
- Published
- 3/18/2026
Tags
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