GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
A skill your agent uses when evaluating Li Lu-style value investments: circle of competence, long-term compounding, deep research, conservative downside, China/global quality businesses, and…
$ npx skills add questflowai/investorskills --skill li-lu-value -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills li-lu-value --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/li-lu-value .claude/skills/li-lu-value && rm -rf skills-srcUse ~/.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/
Install the "li-lu-value" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/li-lu-value into .claude/skills/li-lu-value/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-lu-value", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/questflowai/investorskills/tree/main/skills/li-lu-valueType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add questflowai/investorskills --skill li-lu-value -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills li-lu-value --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/li-lu-value .agents/skills/li-lu-value && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "li-lu-value" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/li-lu-value into .agents/skills/li-lu-value/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-lu-value", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add questflowai/investorskills --skill li-lu-value -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills li-lu-value --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/li-lu-value .cursor/skills/li-lu-value && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "li-lu-value" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/li-lu-value into .cursor/skills/li-lu-value/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-lu-value", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/questflowai/investorskills.git --path skills/li-lu-value--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add questflowai/investorskills --skill li-lu-value -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills li-lu-value --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/li-lu-value .gemini/skills/li-lu-value && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "li-lu-value" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/li-lu-value into .gemini/skills/li-lu-value/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-lu-value", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install questflowai/investorskills li-lu-valueInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add questflowai/investorskills --skill li-lu-value -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/li-lu-value .github/skills/li-lu-value && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "li-lu-value" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/li-lu-value into .github/skills/li-lu-value/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-lu-value", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add questflowai/investorskills --skill li-lu-value -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install questflowai/investorskills li-lu-value --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/li-lu-value .opencode/skills/li-lu-value && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "li-lu-value" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/li-lu-value into .opencode/skills/li-lu-value/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-lu-value", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
li-lu-valueA skill your agent uses when evaluating Li Lu-style value investments: circle of competence, long-term compounding, deep research, conservative downside, China/global quality businesses, and…
Li Lu Value is an agent skill from questflowai/investorskills. Use when evaluating Li Lu-style value investments: circle of competence, long-term compounding, deep research, conservative downside, China/global quality businesses, and concentrated ownership.
Its SKILL.md is about 410 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2844d78. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Li Lu Value loads about 409 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 152 words of instructions outside code blocks.
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.
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.
The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 152 words, ~409 tokens.
.claude/skills/li-lu-value/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill to apply Li Lu-style value investing: deeply understand a high-quality business inside the circle of competence, demand downside protection, and hold concentrated positions through long compounding periods.
Trigger phrases include Li Lu, Himalaya, China value, BYD, Moutai, circle of competence, and long-term compounder.
# Li Lu View: [Company]
## Verdict
Own / Watch / Too Hard / Too Expensive / Pass
## Circle Of Competence
## Business Quality
## Management / Culture
## Downside Protection
## Long-Term Compounding Path
## InvalidationIn Questflow, this skill is best used for long-term global quality/value underwriting and concentrated Fund theses.
© questflowai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/li-lu-value of questflowai/investorskills.
Open the folder on GitHubat commit 2844d78
Li Lu 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Li Lu Value this skillquestflowai/investorskills | 1.9k | — | ~409 | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| X Researchrohunvora/x-research-skill | 1.2k | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Deep Researchsanjay3290/ai-skills | 431 | 10 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| ResearchWeizhena/Deep-Research-skills | 2.3k | 3 repos | ~1.1k | Automated safety check: Pass | MIT |
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
rohunvora/x-research-skill
General-purpose X/Twitter research agent. An agent skill from rohunvora/x-research-skill.
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Weizhena/Deep-Research-skills
Conduct preliminary research on a topic and generate research outline.
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
questflowai/investorskills
A skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…
questflowai/investorskills
A skill your agent uses when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.
questflowai/investorskills
A skill your agent uses when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style…
questflowai/investorskills
A skill your agent uses when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.
questflowai/investorskills
A skill your agent uses when evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.
questflowai/investorskills
A skill your agent uses when evaluating Michael Burry-style contrarian, asymmetric, unpopular trades: deep mispricing, short theses, complex assets, forced consensus errors, and catalyst-driven…
Categories
A skill your agent uses when evaluating Li Lu-style value investments: circle of competence, long-term compounding, deep research, conservative downside, China/global quality businesses, and…. Li Lu Value is an agent skill from questflowai/investorskills. Use when evaluating Li Lu-style value investments: circle of competence, long-term compounding, deep research, conservative downside, China/global quality businesses, and concentrated ownership.
Li Lu Value fits situations like: evaluating Li Lu-style value investments: circle of competence; long-term compounding; conservative downside; china/global quality businesses.
Run `npx skills add questflowai/investorskills --skill li-lu-value -a claude-code`. Or copy the skill folder (skills/li-lu-value in questflowai/investorskills) into .claude/skills/li-lu-value in your project. Claude Code loads it when a task matches its description.
Run `npx skills add questflowai/investorskills --skill li-lu-value -a codex`. Or copy the skill folder (skills/li-lu-value in questflowai/investorskills) into .agents/skills/li-lu-value in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add questflowai/investorskills --skill li-lu-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/li-lu-value, .gemini/skills/li-lu-value, .github/skills/li-lu-value and .opencode/skills/li-lu-value in your project.
SKILL.md names no scripts, command-line tools or credentials: Li Lu Value is instructions for the agent only.
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.
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.
Li Lu Value is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 409 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Li Lu Value: GitHub Deep Research (bytedance/deer-flow, 83k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), X Research (rohunvora/x-research-skill, 1.2k stars) and Deep Research (sanjay3290/ai-skills, 431 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.