quantmind-deploy
Skill1.8k starsChanged 30 days agoAGPL-3.0View on GitHub
QuantMind 部署与运维 — 一键部署、快速部署、Docker 部署、数据库初始化、部署问题排查。在 QuantBot / Claude Code 中部署 QuantMind、排查部署失败、初始化数据库、检查服务健康、更新部署时使用。触发词：部署、一键部署、快速部署、部署失败、装不上、怎么部署、docker部署、部署问题、数据库初始化、服务起不来
- Reads credentials
- Installs packages
- 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
- ai-ide-strategy-writingSkill
- 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-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.
Reviews can't be read right now.
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.