Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
A skill your agent uses when evaluating Richard Dennis / Turtle Trading-style breakout systems: Donchian channels, ATR/N-unit sizing, pyramiding, portfolio heat, and fully rule-based trend following.
$ npx skills add questflowai/investorskills --skill turtle-trading -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills turtle-trading --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/turtle-trading .claude/skills/turtle-trading && 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 "turtle-trading" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/turtle-trading into .claude/skills/turtle-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turtle-trading", 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/turtle-tradingType 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 turtle-trading -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills turtle-trading --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/turtle-trading .agents/skills/turtle-trading && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "turtle-trading" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/turtle-trading into .agents/skills/turtle-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turtle-trading", 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 turtle-trading -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills turtle-trading --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/turtle-trading .cursor/skills/turtle-trading && 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 "turtle-trading" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/turtle-trading into .cursor/skills/turtle-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turtle-trading", 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/turtle-trading--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 turtle-trading -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills turtle-trading --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/turtle-trading .gemini/skills/turtle-trading && 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 "turtle-trading" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/turtle-trading into .gemini/skills/turtle-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turtle-trading", 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 turtle-tradingInstalls 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 turtle-trading -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/turtle-trading .github/skills/turtle-trading && 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 "turtle-trading" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/turtle-trading into .github/skills/turtle-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turtle-trading", 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 turtle-trading -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 turtle-trading --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/turtle-trading .opencode/skills/turtle-trading && 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 "turtle-trading" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/turtle-trading into .opencode/skills/turtle-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turtle-trading", 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.
turtle-tradingA skill your agent uses when evaluating Richard Dennis / Turtle Trading-style breakout systems: Donchian channels, ATR/N-unit sizing, pyramiding, portfolio heat, and fully rule-based trend following.
Turtle Trading is an agent skill from questflowai/investorskills. Use when evaluating Richard Dennis / Turtle Trading-style breakout systems: Donchian channels, ATR/N-unit sizing, pyramiding, portfolio heat, and fully rule-based trend following.
Its SKILL.md is about 340 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 Business, Finance & HR, covering Trading and backtesting. 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.
Turtle Trading loads about 344 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 136 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). 136 words, ~344 tokens.
.claude/skills/turtle-trading/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 Turtle-style systematic breakout trading: buy/sell breakouts, size by ATR, add by N units, control portfolio heat, and follow rules without discretion.
Trigger phrases include Turtles, Richard Dennis, Donchian, ATR, N unit, 20-day breakout, 55-day breakout, and systematic breakout.
# Turtle View: [Market / System]
## Verdict
Enter / Add / Hold / Exit / No Signal
## Breakout Rule
## N / ATR
## Unit Size
## Stop
## Portfolio HeatIn Questflow, this skill is best used as a rule-based trend-following execution template.
© 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/turtle-trading of questflowai/investorskills.
Open the folder on GitHubat commit 2844d78
Turtle Trading 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 |
|---|---|---|---|---|---|---|
| Turtle Trading this skillquestflowai/investorskills | 1.9k | — | ~344 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 319 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 870 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Fintoolsecond-state/fintool | 316 | 1 repos | ~5.9k | Automated safety check: Pass | None | |
| Polyclawchainstacklabs/polyclaw | 360 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
second-state/fintool
Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
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 Richard Dennis / Turtle Trading-style breakout systems: Donchian channels, ATR/N-unit sizing, pyramiding, portfolio heat, and fully rule-based trend following. Turtle Trading is an agent skill from questflowai/investorskills. Use when evaluating Richard Dennis / Turtle Trading-style breakout systems: Donchian channels, ATR/N-unit sizing, pyramiding, portfolio heat, and fully rule-based trend following.
Turtle Trading fits situations like: evaluating Richard Dennis / Turtle Trading-style breakout systems: Donchian channels; ATR/N-unit sizing; fully rule-based trend following.
Run `npx skills add questflowai/investorskills --skill turtle-trading -a claude-code`. Or copy the skill folder (skills/turtle-trading in questflowai/investorskills) into .claude/skills/turtle-trading in your project. Claude Code loads it when a task matches its description.
Run `npx skills add questflowai/investorskills --skill turtle-trading -a codex`. Or copy the skill folder (skills/turtle-trading in questflowai/investorskills) into .agents/skills/turtle-trading 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 turtle-trading -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/turtle-trading, .gemini/skills/turtle-trading, .github/skills/turtle-trading and .opencode/skills/turtle-trading in your project.
SKILL.md names no scripts, command-line tools or credentials: Turtle Trading 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.
Turtle Trading is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 344 tokens (SKILL.md is roughly 1.4k 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 Turtle Trading: Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 870 stars) and Fintool (second-state/fintool, 316 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.