ai-ide-strategy-writing
Skill1.8k starsChanged 30 days agoAGPL-3.0View on GitHub
AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略
- Sends data out
Trending
More talk lately.thin dataabout the whole repository
Who's talking about qusong0627/QuantMind
- Anto-30/aurelia-trading“Research intake: triage 26 trading-agent, quant, MCP and architecture repositories”GitHub · Oct 18, 2026
- sudosubin/agents.nix“agent-skills.github.qusong0627.quantmind: init at 1.0.0”GitHub · Oct 14, 2026
- conversun/fnos-apps“[App Request]”GitHub · Aug 28, 2026
The biggest 3 of 3 mentions linking to the repository that our crawl found. Each line is their own headline.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- backtest-centerSkill
- batch-inference-analysisSkill
- daily-reviewSkill
- futuapiSkill
- install-futu-opendSkill
- market-analysisSkill
- model-train-infer-backtest-reportSkill
- model-training-configSkill
- news-sentiment-finbertSkill
- news-sentiment-researchSkill
- quantdb-data-structureSkill
- quantdb-fieldsSkill
- quantdb-sdkSkill
- quantmind-deploySkill
- quantmind-operationsSkill
- rd-agent-factor-miningSkill
- simulation-tradingSkill
- smart-strategy-stock-pickingSkill
- stock-deep-researchSkill
- stock-market-analysisSkill
- stock-picksSkill
- stock-researchSkill
- tigeropen-cppSkill
- tigeropen-csharpSkill
- tigeropen-goSkill
- tigeropen-javaSkill
- tigeropen-rustSkill
- tigeropenSkill
- tigeropen-typescriptSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.