Claude Skill

entity-research

Research companies and people - leadership, revenue signals, tech stack, contacts, and sources. Use for sales intel, partner diligence, or competitive briefs.

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navinspire-ia/navin 31 4 forks AGPL-3.0 Updated 4d ago

Part of navinspire-ia/navin — 182 skills

Install

skills CLI npx skills add https://github.com/Navinspire-ia/navin/tree/main/navin/skills/entity-research

Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install navinspire-ia-navin@llmmart

Git git clone https://github.com/Navinspire-ia/navin.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole navinspire-ia/navin collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Entity & Company Research

Overview

Build a sourced company/person dossier. Separate facts from inference.

Workflow

Confirm the entity (legal name, domain, geography).
Gather from official site, registries, LinkedIn-like public pages, news, job posts (tech stack signals).
Structure the dossier:

## Entity
- name / domain / HQ

## What they do
...

## People
- ...

## Signals
- revenue / funding / headcount (cite)
- tech (from jobs, engineering blog)

## Contacts / next steps
- ...

## Sources
- ...

Mark confidence (high/med/low) per claim.
Never invent emails or phone numbers - only cite found contacts.

Rules

Comply with user policies on personal data.
Prefer primary sources; label blogs as secondary.

Files (navin)

SKILL.md 1 KB

---
name: entity-research
description: Research companies and people - leadership, revenue signals, tech stack, contacts, and sources. Use for sales intel, partner diligence, or competitive briefs.
metadata: {"navin":{"emoji":"🏢","category":"navigation"}}
---

# Entity & Company Research

## Overview

Build a sourced company/person dossier. Separate facts from inference.

## Workflow

1. Confirm the entity (legal name, domain, geography).
2. Gather from official site, registries, LinkedIn-like public pages, news, job posts (tech stack signals).
3. Structure the dossier:

```markdown
## Entity
- name / domain / HQ

## What they do
...

## People
- ...

## Signals
- revenue / funding / headcount (cite)
- tech (from jobs, engineering blog)

## Contacts / next steps
- ...

## Sources
- ...
```

4. Mark confidence (high/med/low) per claim.
5. Never invent emails or phone numbers - only cite found contacts.

## Rules

- Comply with user policies on personal data.
- Prefer primary sources; label blogs as secondary.