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。
VectorBT backtesting expert. An agent skill from marketcalls/vectorbt-backtesting-skills.
Install Vectorbt Expert
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills vectorbt-expert --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/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/vectorbt-expert .claude/skills/vectorbt-expert && 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 "vectorbt-expert" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert into .claude/skills/vectorbt-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vectorbt-expert", 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/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expertType 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 marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills vectorbt-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/vectorbt-expert .agents/skills/vectorbt-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vectorbt-expert" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert into .agents/skills/vectorbt-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vectorbt-expert", 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 marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills vectorbt-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/vectorbt-expert .cursor/skills/vectorbt-expert && 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 "vectorbt-expert" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert into .cursor/skills/vectorbt-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vectorbt-expert", 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/marketcalls/vectorbt-backtesting-skills.git --path .claude/skills/vectorbt-expert--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 marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills vectorbt-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/vectorbt-expert .gemini/skills/vectorbt-expert && 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 "vectorbt-expert" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert into .gemini/skills/vectorbt-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vectorbt-expert", 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 marketcalls/vectorbt-backtesting-skills vectorbt-expertInstalls 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 marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/vectorbt-expert .github/skills/vectorbt-expert && 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 "vectorbt-expert" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert into .github/skills/vectorbt-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vectorbt-expert", 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 marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills vectorbt-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/vectorbt-expert .opencode/skills/vectorbt-expert && 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 "vectorbt-expert" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert into .opencode/skills/vectorbt-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vectorbt-expert", 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.
Facts
- Skill name
vectorbt-expert- GitHub stars
- 208
- Token cost
- ~3.4k tokens
- SKILL.md length
- 697 words
- Files
- 37
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- None found
At a glance
VectorBT backtesting expert. An agent skill from marketcalls/vectorbt-backtesting-skills.
- Works in 11 steps: Default to OpenAlgo ta (from openalgo… → Always use OpenAlgo ta for indicators… → Use OpenAlgo ta for signal utilities:… → …
- User asks to backtest strategies
- SKILL.md covers Environment, Critical Rules, Modular Rule Files and Strategy Templates (in…, plus 2 more sections
- Runs Python scripts from its folder; needs OPENALGO_API_KEY
What it does
Vectorbt Expert is an agent skill from marketcalls/vectorbt-backtesting-skills. VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 47 other files (for example `rules/assets/buy_hold/backtest.py`, `rules/assets/donchian/backtest.py` and `rules/assets/dual_momentum/backtest.py`).
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Python, DuckDB and Plotly. The repository describes itself as: Agentic coding skills for backtesting trading strategies using VectorBT. Supports Indian, US, and Crypto markets with realistic transaction cost modeling, TA-Lib indicators…
When your agent uses it
- User asks to backtest strategies
- Create entry/exit signals
- Analyze portfolio performance
- Optimize parameters
Example prompts
- “/vectorbt-expert”
Requirements
- Python 3
- A credential in OPENALGO_API_KEY
Workflow steps
11 steps, taken from the first numbered list in SKILL.md.
- Default to OpenAlgo ta (from openalgo import ta) for ALL technical indicators (EMA, SMA, RSI, MACD, BBANDS, ATR, ADX, STDDEV, MOM, and 90+…
- Always use OpenAlgo ta for indicators not in TA-Lib at all: Supertrend, Donchian, Ichimoku, HMA, KAMA, ALMA, ZLEMA, VWMA - these have no…
- Use OpenAlgo ta for signal utilities: ta.exrem(), ta.crossover(), ta.crossunder(), ta.flip(). If openalgo.ta is not importable (standalone…
- Always clean signals with ta.exrem() after generating raw buy/sell signals. Always .fillna(False) before exrem.
- Market-specific fees: India (indian-market-costs), US (us-market-costs), Crypto (crypto-market-costs). Auto-select based on user's market.
- Default benchmarks: India=NIFTY via OpenAlgo, US=S&P 500 (^GSPC), Crypto=Bitcoin (BTC-USD). See data-fetching Market Selection Guide.
- Always produce a Strategy vs Benchmark comparison table after every backtest.
- Always explain the backtest report in plain language so even normal traders understand risk and strength.
- Plotly candlestick charts must use xaxis type="category" to avoid weekend gaps.
- Whole shares: Always set min_size=1, size_granularity=1 for equities.
- DuckDB data loading: When user provides a DuckDB path, load data directly using duckdb.connect() with read_only=True. Auto-detect format…
What it can do on your machine
Read from SKILL.md and the folder at commit 05d9e8b. 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
Ships script files (Python, from the files we listed), which the agent can run.
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 these keys or tokens, usually read from environment variables:
OPENALGO_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Vectorbt Expert loads about 3.4k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 697 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:14
- API keys loaded from single root `.env` via `python-dotenv` + `find_dotenv()` — never hardcode keys - NoteMentions a .env fileSKILL.md:21
nvironment variables loaded from single `.env` at project root via `find_dotenv()` (walks up from script dir) - NoteMentions a .env fileSKILL.md:45
e (US), CCXT (Crypto), custom providers, .env setup |
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 697 words (~3,375 tokens).
“Detailed reference for each topic is in rules/:”
- name
- vectorbt-expert
- user-invocable
- false
Files
SKILL.md and 36 other files in .claude/skills/vectorbt-expert of marketcalls/vectorbt-backtesting-skills.
- SKILL.md
- rules/assets/buy_hold/backtest.py
- rules/assets/donchian/backtest.py
- rules/assets/dual_momentum/backtest.py
- rules/assets/ema_crossover/backtest.py
- rules/assets/macd/backtest.py
- rules/assets/momentum/backtest.py
- rules/assets/realistic_costs/template.py
- rules/assets/rsi/backtest.py
- rules/assets/rsi_accumulation/backtest.py
- … and 27 more
Open the folder on GitHubat commit 05d9e8b
Compare with similar skills
Vectorbt Expert 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 |
|---|---|---|---|---|---|---|
| Vectorbt Expert this skillmarketcalls/vectorbt-backtesting-skills | 208 | — | ~3.4k | Automated safety check: Notes | None | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 614 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Mmr Loop Skill9600dev/mmr | 131 | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Quant Backtestjoemccann/market-data-warehouse | 183 | — | ~2.1k | Automated safety check: Pass | None |
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Related
Categories
Questions about Vectorbt Expert
What does Vectorbt Expert do?
VectorBT backtesting expert. An agent skill from marketcalls/vectorbt-backtesting-skills. Vectorbt Expert is an agent skill from marketcalls/vectorbt-backtesting-skills. VectorBT backtesting expert.
When should I use Vectorbt Expert?
Vectorbt Expert fits situations like: user asks to backtest strategies; create entry/exit signals; analyze portfolio performance; optimize parameters.
How do I install Vectorbt Expert in Claude Code?
Run `npx skills add marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a claude-code`. Or copy the skill folder (.claude/skills/vectorbt-expert in marketcalls/vectorbt-backtesting-skills) into .claude/skills/vectorbt-expert in your project. Claude Code loads it when a task matches its description.
How do I install Vectorbt Expert in Codex?
Run `npx skills add marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a codex`. Or copy the skill folder (.claude/skills/vectorbt-expert in marketcalls/vectorbt-backtesting-skills) into .agents/skills/vectorbt-expert in your project. Codex loads it when a task matches its description.
Can I use Vectorbt Expert 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 marketcalls/vectorbt-backtesting-skills --skill vectorbt-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vectorbt-expert, .gemini/skills/vectorbt-expert, .github/skills/vectorbt-expert and .opencode/skills/vectorbt-expert in your project.
What does Vectorbt Expert need to run?
Going by SKILL.md and its folder, Vectorbt Expert needs Python for the scripts in its folder and credentials named OPENALGO_API_KEY. Our summary lists: Python 3; A credential in OPENALGO_API_KEY.
Does Vectorbt Expert 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 Vectorbt Expert safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Vectorbt Expert use?
No licence was found for Vectorbt Expert or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Vectorbt Expert use?
About 3.4k tokens (SKILL.md is roughly 14k 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 Vectorbt Expert?
Skills that share tags, products or a category with Vectorbt Expert: Tushare Data (zillionare/zillionare, 321 stars), Kalshi Trade (ryanfrigo/kalshi-ai-trading-bot, 614 stars), Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars) and Mmr Loop Skill (9600dev/mmr, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vectorbt Expert?
marketcalls (a GitHub user) maintains it in marketcalls/vectorbt-backtesting-skills, which has 208 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on July 12, 2026.
Source: marketcalls/vectorbt-backtesting-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.