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。
Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.
$ npx skills add HKUDS/Vibe-Trading --skill ichimoku -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading ichimoku --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/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/ichimoku .claude/skills/ichimoku && 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 "ichimoku" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku into .claude/skills/ichimoku/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ichimoku", 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/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimokuType 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 HKUDS/Vibe-Trading --skill ichimoku -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading ichimoku --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/ichimoku .agents/skills/ichimoku && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ichimoku" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku into .agents/skills/ichimoku/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ichimoku", 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 HKUDS/Vibe-Trading --skill ichimoku -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading ichimoku --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/ichimoku .cursor/skills/ichimoku && 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 "ichimoku" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku into .cursor/skills/ichimoku/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ichimoku", 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/HKUDS/Vibe-Trading.git --path agent/src/skills/ichimoku--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 HKUDS/Vibe-Trading --skill ichimoku -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading ichimoku --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/ichimoku .gemini/skills/ichimoku && 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 "ichimoku" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku into .gemini/skills/ichimoku/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ichimoku", 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 HKUDS/Vibe-Trading ichimokuInstalls 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 HKUDS/Vibe-Trading --skill ichimoku -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/ichimoku .github/skills/ichimoku && 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 "ichimoku" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku into .github/skills/ichimoku/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ichimoku", 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 HKUDS/Vibe-Trading --skill ichimoku -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading ichimoku --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/ichimoku .opencode/skills/ichimoku && 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 "ichimoku" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku into .opencode/skills/ichimoku/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ichimoku", 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.
ichimokuGenerates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.
The skill computes the five Ichimoku lines: Tenkan-sen from a 9-period high-low midpoint, Kijun-sen from 26 periods, Senkou Span A as their average shifted forward by 26, Senkou Span B from 52 periods shifted forward by 26, and the Chikou span as the close shifted back by 26. The cloud between the two spans gives the trend structure.
Signals fire only on a Tenkan-Kijun cross. A strong buy needs a bullish cross with price above a bullish cloud and a strong sell needs a bearish cross with price below a bearish cloud; everything else stands aside. The engine needs 78 candles of warm-up, exposes the three periods and the displacement as parameters, and outputs 1, -1 or 0. An example signal engine and two reference notes on the line calculations and the signal system are included, and the code needs pandas, numpy and requests.
Read from SKILL.md and the folder at commit b1f6ce7. 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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Ichimoku Kinko Hyo Signals loads about 417 tokens when it runs, and up to ~893 if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 162 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 HKUDS/Vibe-Trading at commit b1f6ce7, republished under its MIT licence (© HKUDS). 162 words, ~417 tokens.
.claude/skills/ichimoku/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.A standalone Japanese technical analysis framework that uses a five-line system and the cloud to provide a complete trend-evaluation structure:
| Line | Japanese | Calculation | Meaning |
|---|---|---|---|
| Conversion line | Tenkan-sen | (9H+9L)/2 | Short-term trend |
| Base line | Kijun-sen | (26H+26L)/2 | Medium-term trend |
| Leading Span A | Senkou Span A | (Tenkan+Kijun)/2 shifted forward by 26 | Upper cloud boundary |
| Leading Span B | Senkou Span B | (52H+52L)/2 shifted forward by 26 | Lower cloud boundary |
| Lagging Span | Chikou Span | Closing price shifted backward by 26 | Trend confirmation |
Signals are triggered only on TK crossover events, with three filters:
Warm-up requires 78 candles (52+26).
| Parameter | Default | Description |
|---|---|---|
| tenkan_period | 9 | Tenkan-sen period |
| kijun_period | 26 | Kijun-sen period |
| senkou_b_period | 52 | Senkou Span B period |
| displacement | 26 | Forward/backward shift period |
pip install pandas numpy requests1 = long, -1 = short, 0 = stand aside© HKUDS, 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 3 other files (references) in agent/src/skills/ichimoku of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit b1f6ce7
Ichimoku Kinko Hyo Signals 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 |
|---|---|---|---|---|---|---|
| Ichimoku Kinko Hyo Signals this skillHKUDS/Vibe-Trading | 35k | — | ~417 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Quant Blog Writingzillionare/zillionare | 321 | — | ~895 | Automated safety check: Pass | None | |
| WorldQuant BRAIN Alpha ResearchQuantML-Research/wq-alpha-research | 407 | — | ~4.9k | Automated safety check: Pass | None | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Backtestinggauss314/skills | 248 | — | ~2.4k | Automated safety check: Pass | MIT |
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。
zillionare/zillionare
撰写文笔精炼、富有深度的量化交易博文,论点清晰、证据确凿、叙事层次更加丰富。适用于量化交易博文、因子研究、回测复盘、数据源排查、市场微观结构、策略原理、风险控制、职业观察、量化人物故事等选题。文章将聚焦具体角度,提供详实的大纲、证据规划及成稿,力求内容兼具思想深度与诚实性,而非单纯口号式宣传;同时,通过人物经历、引言、贡献及行业背景的融入,让文章更具可读性和吸引力。
QuantML-Research/wq-alpha-research
Chinese-language playbook for WorldQuant BRAIN alphas: choose fields, write expressions, backtest, diagnose check failures, tune turnover, submit and build portfolios.
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
gauss314/skills
Academic backtesting framework for quantitative research. An agent skill from gauss314/skills.
qusong0627/QuantMind
Covers the Tiger Brokers OpenAPI Python SDK for market data, stock, futures and options trading, push subscriptions, a CLI and an MCP server, defaulting to paper trading.
HKUDS/Vibe-Trading
Index of Eastmoney's free, no-token market data interfaces for China A-shares and Hong Kong stocks: fund flows, dragon-tiger lists, margin trading, reports and news.
HKUDS/Vibe-Trading
Retrieves public OKX cryptocurrency market data such as spot prices, candlesticks, funding rates and open interest through the OKX V5 REST API, with no authentication.
HKUDS/Vibe-Trading
Fetches U.S. SEC EDGAR data: resolves tickers to CIK numbers, lists recent 10-K, 10-Q and 8-K filings with document URLs, and pulls XBRL financial series.
HKUDS/Vibe-Trading
Predicts whether a mainland China A-share company risks an ST or *ST warning after its next annual report, using financial thresholds and Sina penalty records.
HKUDS/Vibe-Trading
Breaks a structural trend such as AI infrastructure into its physical supply chain and ranks lesser-known listed companies sitting on each bottleneck.
HKUDS/Vibe-Trading
Plans and drafts an eight-part, roughly 120k-word investigative series on one company, built around a strict fact-check pass rather than fast drafting.
Categories
Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas. The skill computes the five Ichimoku lines: Tenkan-sen from a 9-period high-low midpoint, Kijun-sen from 26 periods, Senkou Span A as their average shifted forward by 26, Senkou Span B from 52 periods shifted forward by 26, and the Chikou span as the close shifted back by 26. The cloud between the two spans gives the trend structure.
Ichimoku Kinko Hyo Signals fits situations like: generating long or short signals from Tenkan and Kijun crossovers; filtering crossover signals by cloud position and cloud direction; computing the five Ichimoku lines from price data with pandas.
Run `npx skills add HKUDS/Vibe-Trading --skill ichimoku -a claude-code`. Or copy the skill folder (agent/src/skills/ichimoku in HKUDS/Vibe-Trading) into .claude/skills/ichimoku in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/Vibe-Trading --skill ichimoku -a codex`. Or copy the skill folder (agent/src/skills/ichimoku in HKUDS/Vibe-Trading) into .agents/skills/ichimoku 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 HKUDS/Vibe-Trading --skill ichimoku -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ichimoku, .gemini/skills/ichimoku, .github/skills/ichimoku and .opencode/skills/ichimoku in your project.
Going by SKILL.md and its folder, Ichimoku Kinko Hyo Signals needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python with pandas, numpy and requests.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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.
Ichimoku Kinko Hyo Signals is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 417 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 476 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ichimoku Kinko Hyo Signals: Tushare Data (zillionare/zillionare, 321 stars), Quant Blog Writing (zillionare/zillionare, 321 stars), WorldQuant BRAIN Alpha Research (QuantML-Research/wq-alpha-research, 407 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,097 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 9, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.