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Private Company Research

Runs a multi-agent deep-research workflow to estimate a private company's real business value

Source Download skill
Repository
xbtlin/ai-berkshire
Stars
16,982
Licence
MIT
Files
1 file

What it does

When installed, the agent follows a structured playbook for researching unlisted companies such as Ant Group, Xiaohongshu, SpaceX or Stripe. It proposes a team of specialist roles (business model, financials, competition, risk and governance, technology, alternative signals), gathers scattered public information, cross-checks it, and labels each data point by confidence. It is written in Chinese and built for situations where official financial statements are scarce.

Great for

  • Investors or analysts doing early-stage due diligence on a private company
  • Students or researchers who want a structured framework for valuing companies with little public data
  • Anyone who wants the agent to clearly separate verified facts from its own inferences

Skip it if

  • Public-company stock picking, since standard filings and market data are more reliable and the framework is tuned for private firms (reason: wrong tool for listed companies)
  • Making investment decisions without independent verification, because the skill itself warns that AI tends to fill gaps with plausible guesses and that sources can be biased toward good news
  • Situations needing live, verified figures, since the skill depends on web search and secondary sources that may be outdated or incomplete

Try asking

  • “Research Xiaohongshu's business model and estimate its unit economics from public information”
  • “Build a funding-history table and valuation timeline for a named private company, with confidence labels”
  • “Map the competitive landscape and main risks for a private AI startup”
  • “Assess a private company's moat using the six-dimension moat scoring framework”
Step-by-step guide: how to use Private Company ResearchInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    private-company-research.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip private-company-research.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip private-company-research.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Provide the exact company name and, if possible, the time window or specific question so the research stays focused
  • Check the data cutoff date and confidence labels in the report header before relying on any figure
  • Verify key numbers such as valuation, revenue, and funding rounds against primary sources like filings, regulatory documents, or the company's own statements

What's inside

  • SKILL.md

Redistributed unmodified from xbtlin/ai-berkshire under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.