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Agent skill

Zhanglei Longterm Research Value

by questflowai in questflowai/investorskills

A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Zhanglei Longterm Research Value

skills CLI
$ npx skills add questflowai/investorskills --skill zhanglei-longterm-research-value -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills zhanglei-longterm-research-value --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/zhanglei-longterm-research-value .claude/skills/zhanglei-longterm-research-value && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
zhanglei-longterm-research-value
GitHub stars
1.9k
Token cost
~493 tokens
SKILL.md length
205 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 4 steps: Do deeper research than the market:… → Judge if this is a truly great company… → Check if valuation is acceptable for the… → …
  • Evaluating investments through Zhang Lei / Hillhouse Capitals long-term research-driven value lens: deep research
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Zhanglei Longterm Research Value is an agent skill from questflowai/investorskills. 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.

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).

It sits in Research & Science, covering Deep research. The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.

When your agent uses it

  • Evaluating investments through Zhang Lei / Hillhouse Capitals long-term research-driven value lens: deep research
  • Do times friend
  • Invest in great companies
  • Actively help them grow

Example prompts

  • “s long-term research-driven value lens: deep research, do time”
  • “/zhanglei-longterm-research-value”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Zhanglei Longterm Research Value loads about 493 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 205 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~493

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 205 words, ~493 tokens.

Download SKILL.mdSave it as .claude/skills/zhanglei-longterm-research-value/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
zhanglei-longterm-research-value
description
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.
invest
./invest.md

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.

© questflowai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/zhanglei-longterm-research-value of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Zhanglei Longterm Research Value next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Zhanglei Longterm Research Value compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Zhanglei Longterm Research Value this skillquestflowai/investorskills1.9k—~493Automated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4319 repos~683Automated safety check: NotesApache-2.0
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Academic Research PipelineImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence

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Categories

Questions about Zhanglei Longterm Research Value

What does Zhanglei Longterm Research Value do?

A skill your agent uses 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…. Zhanglei Longterm Research Value is an agent skill from questflowai/investorskills. 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.

When should I use Zhanglei Longterm Research Value?

Zhanglei Longterm Research Value fits situations like: evaluating investments through Zhang Lei / Hillhouse Capitals long-term research-driven value lens: deep research; do times friend; invest in great companies; actively help them grow.

How do I install Zhanglei Longterm Research Value in Claude Code?

Run `npx skills add questflowai/investorskills --skill zhanglei-longterm-research-value -a claude-code`. Or copy the skill folder (skills/zhanglei-longterm-research-value in questflowai/investorskills) into .claude/skills/zhanglei-longterm-research-value in your project. Claude Code loads it when a task matches its description.

How do I install Zhanglei Longterm Research Value in Codex?

Run `npx skills add questflowai/investorskills --skill zhanglei-longterm-research-value -a codex`. Or copy the skill folder (skills/zhanglei-longterm-research-value in questflowai/investorskills) into .agents/skills/zhanglei-longterm-research-value in your project. Codex loads it when a task matches its description.

Can I use Zhanglei Longterm Research Value in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add questflowai/investorskills --skill zhanglei-longterm-research-value -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zhanglei-longterm-research-value, .gemini/skills/zhanglei-longterm-research-value, .github/skills/zhanglei-longterm-research-value and .opencode/skills/zhanglei-longterm-research-value in your project.

What does Zhanglei Longterm Research Value need to run?

SKILL.md names no scripts, command-line tools or credentials: Zhanglei Longterm Research Value is instructions for the agent only.

Does Zhanglei Longterm Research Value access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Zhanglei Longterm Research Value safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Zhanglei Longterm Research Value use?

Zhanglei Longterm Research Value is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Zhanglei Longterm Research Value use?

About 493 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Zhanglei Longterm Research Value?

Skills that share tags, products or a category with Zhanglei Longterm Research Value: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 431 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Zhanglei Longterm Research Value?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.

Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.