startup-research

Collect, validate, and report startup company data from curated sources.

1|Updated Apr 30, 2026

Search Tags:#automation #research #reporting #evidence #startup #diligence

Ready to run

npx skills add https://github.com/vibewatch/startup --skill startup-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: startup-research
Source: https://github.com/vibewatch/startup/tree/main/.agents/skills/startup-research
Command: npx skills add https://github.com/vibewatch/startup --skill startup-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, node, bash, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables comprehensive research and company diligence workflows by researching startups, consolidating evidence, and producing detailed reports.

Core Features & Use Cases

Startup Research: Research a named startup, including from official URLs, to gather validated evidence.
Report Generation: Produce structured, evidence-backed YAML reports and render them as a static website.
Use Case: An investment analyst assesses a startup by researching key facts, compiling claims, and generating a review report with supporting evidence for investment decisions.

Quick Start

Use the startup-research skill to generate a detailed company diligence report for “InnovateAI” by running the appropriate script.

Frequently Asked Questions about startup-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate startup diligence research and generate an evidence-backed report?▼

Startup diligence research is automated by collecting, validating, and cross-referencing company data from curated sources. The process consolidates claims and produces a structured YAML report, which is then rendered as a static website for comprehensive investment analysis.

What is the best way to compile and validate startup research claims from multiple sources?▼

The best way to validate startup research claims is through cross-source validation and automated evidence integrity checks. This ensures that all gathered company facts are properly sourced and consolidated into a structured, comprehensive diligence report.

Does this startup research automation require Node and Bash to generate YAML reports?▼

Yes, generating YAML reports and rendering the static website requires Node, Bash, and YAML dependencies. These components execute the scripts that automate the collection, validation, and reporting of startup company data.

How do I research a named startup from an official URL for investment analysis?▼

To research a named startup from an official URL, the automation scripts gather validated evidence directly from the provided link. This tailored workflow for investment analysts ensures proper claim sourcing and cross-source validation for diligence.

Can I render my structured startup analysis as a static website?▼

Yes, structured startup analysis can be rendered as a static website. The reporting workflow takes the evidence-backed YAML reports generated from curated sources and renders them into a comprehensive, easily shareable format.

What are the limitations of automating company diligence with curated sources?▼

Automating company diligence relies on curated sources for evidence validation, meaning data outside these selected streams may not be captured. Analysts must ensure the provided official URLs and references fully cover the startup's key facts for accurate reporting.