Lead Research Assistant
Skill433 starsChanged 10 months agoMITView on GitHub
Research company and contact information for sales outreach
In this repository137 other files it gives its agents.
- .cursor/rules/project-rules.mdcCursor rule
- academic-searchSkill
- ads-copywriterSkill
- ai-agent-builderSkill
- airtable-automationSkill
- ai-slidesSkill
- Amazon SellerSkill
- Apple Shortcuts IntegrationSkill
- Applicant ScreeningSkill
- Asana AutomationSkill
- batch-convertSkill
- batch-processorSkill
- Brand Guidelines GeneratorSkill
- Browser AutomationSkill
- calendar-automationSkill
- Changelog GeneratorSkill
- chart-designerSkill
- Chat with PDFSkill
- ClickUp AutomationSkill
- company-researchSkill
- competitive-analysisSkill
- Content Research WriterSkill
- contract-reviewSkill
- contract-templateSkill
- cover-letterSkill
- crm-automationSkill
- crypto-reportSkill
- customer-successSkill
- cv-builderSkill
- data-analysisSkill
- Database SyncSkill
- data-extractorSkill
- data-pipelineSkill
- dcf-valuationSkill
- deep-researchSkill
- devops-automationSkill
- dev-slidesSkill
- diagram-creatorSkill
- discord-botSkill
- doc-parserSkill
- doc-pipelineSkill
- DocuSign AutomationSkill
- docx-manipulationSkill
- Email ClassifierSkill
- email-drafterSkill
- email-marketingSkill
- ETL PipelineSkill
- excel-automationSkill
- expense-reportSkill
- Expense TrackerSkill
- Facebook/Meta AdsSkill
- File OrganizerSkill
- financial-modelingSkill
- form-builderSkill
- gmail-workflowsSkill
- google-ads-managerSkill
- Home Assistant AutomationSkill
- hr-automationSkill
- html-slidesSkill
- html-to-pptSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 257
Use publicly available information only
- Distinctive: line 259
Don't misrepresent sources
- Distinctive: line 263
Start with company website and LinkedIn
- Distinctive: line 264
Check recent news (last 6 months)
- Distinctive: line 266
Look at job postings for insights
- Distinctive: line 267
Check review sites (G2, Glassdoor)
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Lead Research Assistant
Research and compile information about companies and contacts for effective sales outreach.
Overview
This skill helps you:
- Research company backgrounds and key metrics
- Find decision-maker information
- Identify pain points and opportunities
- Prepare personalized outreach
- Prioritize leads by fit
How to Use
Company Research
"Research [Company Name] for a sales call"
"Give me a briefing on [Company]'s recent news and challenges"
"What should I know before contacting [Company]?"Contact Research
"Find information about [Name] at [Company]"
"Who are the key decision makers at [Company] for [Product Type]?"
"Create a contact profile for [Name, Title, Company]"Batch Research
"Research these 5 companies for our outreach campaign"
"Prioritize these leads based on our ICP"Output Formats
Company Brief
# Company Research: [Company Name]
## Quick Facts
| Attribute | Value |
|-----------|-------|
| **Industry** | [Industry] |
| **Founded** | [Year] |
| **Headquarters** | [Location] |
| **Employees** | [Range] |
| **Revenue** | [Estimate] |
| **Funding** | [Stage/Amount] |
| **Website** | [URL] |
## Business Overview
[2-3 sentence description of what the company does]
## Products/Services
- [Product 1]: [Brief description]
- [Product 2]: [Brief description]
## Target Market
- **Customers**: [Who they sell to]
- **Industries**: [Industries served]
- **Geography**: [Markets]
## Key People
| Name | Title | LinkedIn |
|------|-------|----------|
| [Name] | CEO | [Link] |
| [Name] | [Relevant Title] | [Link] |
## Recent News & Developments
- [Date]: [Headline - brief summary]
- [Date]: [Headline - brief summary]
## Potential Pain Points
1. **[Pain Point]**: [Why this matters to them]
2. **[Pain Point]**: [Why this matters to them]
## Technology Stack
[Known technologies they use - relevant to your product]
## Competitive Landscape
- Current solutions: [What they use today]
- Competitors: [Their competitors]
## Outreach Angle
**Recommended approach**: [Specific angle based on research]
**Talking points**:
1. [Specific point relevant to them]
2. [Specific point relevant to them]
## Fit Score: [1-10]
**Reasoning**: [Why they are/aren't a good fit]Contact Profile
# Contact Profile: [Name]
## Overview
| Attribute | Value |
|-----------|-------|
| **Name** | [Full Name] |
| **Title** | [Current Title] |
| **Company** | [Company] |
| **Location** | [City, Country] |
| **LinkedIn** | [URL] |
| **Email** | [If available] |
## Professional Background
- **Current Role**: [Title] at [Company] since [Date]
- **Previous**: [Previous role] at [Company]
- **Education**: [Degree, School]
- **Experience**: [X] years in [industry/function]
## Responsibilities
[What they likely own/decide based on title]
## Recent Activity
- [LinkedIn post/article summary]
- [Speaking engagement/podcast]
- [News mention]
## Interests & Topics
[Topics they engage with professionally]
## Connection Points
1. **Shared**: [Mutual connections, schools, interests]
2. **Relevant**: [Content they've engaged with]
## Outreach Strategy
**Best channel**: [Email/LinkedIn/Phone]
**Best time**: [Based on timezone/activity patterns]
**Personalization hooks**:
- [Specific thing to mention]
- [Recent activity to reference]
## Sample Opener
"Hi [Name], I noticed [personalized observation]. [Relevant question/value prop]..."Lead Prioritization
# Lead Scoring: [Campaign Name]
## Scoring Criteria
| Factor | Weight | Description |
|--------|--------|-------------|
| Company Size | 25% | [X-Y employees = 10pts] |
| Industry Fit | 20% | [Target industries = 10pts] |
| Tech Stack | 20% | [Using X = 10pts] |
| Timing Signals | 20% | [Funding, hiring = 10pts] |
| Contact Level | 15% | [Decision maker = 10pts] |
## Ranked Leads
### 🔥 Hot (Score: 80-100)
| Company | Score | Key Signal |
|---------|-------|------------|
| [Company A] | 95 | Recent funding, hiring |
| [Company B] | 88 | Expansion announced |
### 🟡 Warm (Score: 60-79)
| Company | Score | Key Signal |
|---------|-------|------------|
| [Company C] | 72 | Good fit, no timing signal |
### 🔵 Nurture (Score: 40-59)
| Company | Score | Next Step |
|---------|-------|-----------|
| [Company D] | 55 | Monitor for triggers |Research Areas
Company Information
- Business model and revenue streams
- Company size and growth trajectory
- Recent news and announcements
- Funding history and investors
- Key partnerships and customers
- Technology stack
- Hiring trends
- Competitive positioning
Contact Information
- Professional background
- Decision-making authority
- Communication style (from content)
- Network and connections
- Recent professional activity
- Interests and topics
Timing Signals
- Recent funding rounds
- Leadership changes
- Expansion announcements
- Product launches
- Hiring surges
- Contract renewals (industry timing)
Best Practices
Research Ethics
- Use publicly available information only
- Respect privacy boundaries
- Don't misrepresent sources
- Verify information accuracy
Effective Research
- Start with company website and LinkedIn
- Check recent news (last 6 months)
- Review press releases and blog
- Look at job postings for insights
- Check review sites (G2, Glassdoor)
- Analyze social media presence
Limitations
- Cannot access paid databases (ZoomInfo, etc.)
- Contact details may not be publicly available
- Information accuracy depends on sources
- Private companies have limited data
- Real-time data may be outdated
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

