financial-deep-research

Conduct multi-source financial research with regulatory compliance tracking and verified market analysis.

15|5|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/rebyteai-template/rebyte-skills --skill financial-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: financial-deep-research
Source: https://github.com/rebyteai-template/rebyte-skills/tree/main/financial-deep-research
Command: npx skills add https://github.com/rebyteai-template/rebyte-skills --skill financial-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of conducting in-depth financial research, providing verified, citation-backed reports suitable for institutional use.

Core Features & Use Cases

  • Comprehensive Analysis: Conducts deep dives into companies, sectors, and markets using an 8-phase pipeline.
  • Verified Data: Prioritizes regulatory filings and high-credibility data providers, with built-in cross-verification.
  • Institutional Output: Generates professional Markdown, HTML, and PDF reports with clear investment theses and risk assessments.
  • Use Case: A portfolio manager needs to evaluate a potential investment. They can use this Skill to generate a detailed analysis of the company's financial health, competitive position, and risks, complete with an investment recommendation.

Quick Start

Use financial deep research to analyze Apple's investment thesis.

Frequently Asked Questions about financial-deep-research

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

FAQPage Schema
How do I conduct comprehensive investment analysis and due diligence on a specific company?

Comprehensive investment analysis requires multi-source synthesis and regulatory compliance tracking. You can conduct an 8-phase deep dive into financial health, competitive position, and risks, generating a verified report with a clear investment thesis.

What is the best way to automate financial research using SEC filings and market data?

Automating financial research involves prioritizing regulatory filings and high-credibility data providers with built-in cross-verification. This approach synthesizes 10 or more verified sources to produce professional Markdown, HTML, or PDF reports suitable for institutional use.

Can I use this for basic stock quotes or simple company lookups?

No, basic stock quotes and simple company lookups are not suitable. This enterprise-grade approach is designed for complex financial research requiring 10 or more sources, verified claims, market comparisons, or in-depth investment research.

How do I generate institutional-grade market analysis reports with risk assessments?

Institutional-grade market analysis reports are generated through a multi-phase pipeline that evaluates financial health and competitive positioning. The output includes professional documents with clear investment theses and detailed risk assessments.

When do I need deep financial research for comparing stocks or analyzing a sector?

You need deep financial research when comparing stocks or analyzing sectors to ensure claims are verified across multiple sources. This process tracks regulatory compliance and delivers comprehensive market comparisons for portfolio evaluation.

Does financial deep research support cross-verification of market analysis claims?

Yes, cross-verification is a core component of enterprise-grade financial research. It prioritizes high-credibility data providers and regulatory filings to ensure all market analysis claims are thoroughly verified before generating the final investment thesis.