Zhanglei Longterm Research Value logo

Zhanglei Longterm Research Value

OrganizationPopular
questflowai
zhanglei-longterm-research-value

Use when evaluating investments through Zhang Lei / Hillhouse Capital's long-term research-driven value lens: deep research, do time's friend, invest in great companies, and actively help them grow.

Overview

Publisherquestflowai
Repositoryinvestorskills
Skill namezhanglei-longterm-research-value
Stars
1.9K
Forks
142
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by questflowai on GitHub. Read the source before you install it.

Installation

Install the Zhanglei Longterm Research Value AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/questflowai/investorskills/tree/main/skills/zhanglei-longterm-research-value
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/questflowai/investorskills.git /tmp/investorskills
mkdir -p .claude/skills
cp -r /tmp/investorskills/skills/zhanglei-longterm-research-value .claude/skills/zhanglei-longterm-research-value
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zhanglei Longterm Research Value in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zhanglei Longterm Research Value on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zhanglei Longterm Research Value is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Zhang Lei Long-Term Research Value

Use this skill to apply Zhang Lei / 张磊 (Hillhouse Capital)-style judgment.

When To Use

Use this skill when the user asks for:

  • Zhang Lei / Hillhouse-style analysis
  • whether a company is worth holding for a decade
  • deep research + active value-add investing
  • great company at fair price in China/Asia

Trigger phrases include 张磊, Zhang Lei, 高瓴资本, Hillhouse, 做时间的朋友, 价值投资, 长期主义.

Do Not Use When

  • Another skill fits better.
  • Critical data for this model is missing.
  • The user wants guaranteed returns or unbounded leverage.
  • The request is generic chatter with no decision.

Inputs Needed

  • Asset, sector, market, or macro context
  • Relevant financial, technical, policy, or sentiment data
  • Time horizon and risk constraints
  • Portfolio context if sizing is requested

Process

  1. Do deeper research than the market: industry, competitive position, management, long-term economics.
  2. Judge if this is a truly great company that can compound for decades.
  3. Check if valuation is acceptable for the quality.
  4. Decide to own long-term and hold through volatility.

Output Format

md
# Zhang Lei Long-Term Research Value View: [Subject]

## Verdict
Own Long-Term / Watch / Not Great / Too Expensive / Pass

## Thesis

## Evidence

## Risks

## Action Plan

## Invalidation

## Missing Data

Guardrails

  • Follow the skill process; do not free-style.
  • Separate facts, assumptions, and judgment.
  • Define invalidation before sizing.
  • Not financial advice.

Questflow Use

Use as a judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Zhanglei Longterm Research Value AI skill do?

Use when evaluating investments through Zhang Lei / Hillhouse Capital's long-term research-driven value lens: deep research, do time's friend, invest in great companies, and actively help them grow.

Why use Zhanglei Longterm Research Value on TypingMind?

Because you install it once and use it with any model. Zhanglei Longterm Research Value is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zhanglei Longterm Research Value in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/questflowai/investorskills/tree/main/skills/zhanglei-longterm-research-value. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Zhanglei Longterm Research Value?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zhanglei Longterm Research Value?

As many as you like. As long as a model supports skills, you can use Zhanglei Longterm Research Value with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zhanglei Longterm Research Value AI skill free?

Yes. It is published on GitHub by questflowai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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