Joinquant Skill

Generate accurate, runnable quantitative strategy code for the JoinQuant (聚宽) platform. Use this skill when the user asks to write a stock/ETF/futures backtest, paper-trading, or live-trading strategy on JoinQuant — the skill provides progressive-disclosure access to the complete JoinQuant API knowledge base (14 categories, 294KB official docs), 5 production-ready strategy templates (single-stock MA, multi-factor, ETF rotation, momentum, mean-reversion), and a lint tool that catches hallucinated APIs, future-function violations, and unset price-mode/slippage/commission. Chinese-friendly. Code

90 stars 19 forksFinance & Crypto

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add gaaiyun/joinquant-skill --skill joinquant-skill

Manual install

git clone --depth 1 https://github.com/gaaiyun/joinquant-skill.git /tmp/joinquant-skill
mkdir -p ~/.claude/skills
cp -r /tmp/joinquant-skill/. ~/.claude/skills/joinquant-skill

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# JoinQuant Skill

Generate quantitative strategy code that runs on the JoinQuant platform without modification.

## When to Use This Skill

Yes:
- Stock backtest / paper trading / live trading on JoinQuant (聚宽)
- ETF rotation, multi-factor stock selection, momentum, mean reversion strategies
- Futures (期货) strategies on JoinQuant
- Margin trading (融资融券) strategies
- Strategy code review / lint to catch hallucinated APIs and future-function violations
- Translating a strategy idea into JoinQuant API calls

No:
- Local data analysis without JoinQuant (use `jqdatasdk` directly, or pandas/numpy)
- Strategy backtesting on other platforms (vectorbt, backtrader, vn.py — use those skills instead)
- Pure machine learning model training (no JoinQuant-specific API needed)
- Live trading on broker APIs other than JoinQuant simulated trading (CTP, Interactive Brokers, etc. need different skills)

## Default Mode

Most user requests fall into one of three patterns. Detect the pattern first, then route:

| Pattern | Trigger | Action |
|---|---|---|
| **Quick code** | "帮我写一个 X 策略" / "用聚宽实现 Y" | Pick template, fill in user-specific parts, return ready-to-paste code |
| **API question** | "聚宽里 get_price 的 fq 参数是什么意思" / "set_option 都有哪些选项" | Load matching `references/XX-*.md` and answer based on it |
| **Code review** | "帮我审一下我这段聚宽代码" / paste of existing code | Run mental `strategy_lint.py` against it (or actually call it), point out hallucinated APIs and missing safeguards |

Read the full skill on GitHub

Details

Skill name: joinquant-skill
Repository: gaaiyun/joinquant-skill
Repo updated: 26 October 2026

FAQ

What does the Joinquant Skill skill do?

How do I install the Joinquant Skill skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add gaaiyun/joinquant-skill --skill joinquant-skill. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Joinquant Skill popular?

It lives in gaaiyun/joinquant-skill, which has 90 GitHub stars and 19 forks.

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