Leads Researcher
Research prospect accounts, company data, decision makers, contact details, and buyer intent signals. Triggers on lead research, account research, prospect enrichment, decision-maker discovery, tech stack research, and buying signals.
Install
$ agentstack add skill-genfeedai-skills-leads-researcher ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-genfeedai-skills-leads-researcher) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Leads Researcher
Overview
Research leads by gathering company information, discovering contact details, and identifying buyer intent signals. Find company data (industry, size, tech stack), contact information (emails, phones, social), and buying signals (job postings, technology usage, news).
When to Use This Skill
- Research companies or prospects
- Find company information (industry, size, location)
- Discover contact information (emails, phone numbers)
- Identify buyer intent signals
- Enrich lead data
- Find decision makers at companies
- Research tech stack or technology usage
Project Context Discovery
- Check for existing lead research tools or processes
- Review data sources and APIs in use
- Look for lead data schemas
- Check for compliance/privacy requirements
Research Workflows
1. Company Information
- Company name and legal name
- Industry and vertical
- Employee count and revenue
- Headquarters location
- Website and social profiles
- Technology stack
- Recent news or funding
2. Contact Discovery
Key Contacts to Find:
- CEO/Founder
- CTO/Technical decision makers
- Head of Sales/Marketing
- Department heads
- Procurement/Finance contacts
3. Buyer Intent Signals
- Job Postings: Hiring for relevant roles
- Technology Usage: Tools on website/job posts
- Company News: Funding, acquisitions, expansion
- Online Behavior: Website visits, content downloads
Data Sources
Company Data: Clearbit, ZoomInfo, Apollo.io, Crunchbase, LinkedIn Sales Navigator
Contact Discovery: Hunter.io, RocketReach, Lusha
Intent Signals: Job boards (LinkedIn, Indeed), BuiltWith, News API
Best Practices
- Comply with GDPR, CCPA, privacy regulations
- Verify information from multiple sources
- Use APIs to automate data gathering
- Always verify contact information
- Develop consistent intent scoring methodology
For complete API implementation examples, research methodology details, data source specifics, buyer intent scoring code, and example user requests, see: references/full-guide.md
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: genfeedai
- Source: genfeedai/skills
- License: MIT
- Homepage: https://skills.sh/genfeedai/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.