agentleFS
qusong0627qusong0627/QuantMind/skills/stock-research/SKILL.md

stock-research

Skill1.8k starsChanged 30 days agoAGPL-3.0View on GitHub

个股深度研究(多 Agent 编排版)— 多角色分析师并行编排(技术/新闻/资金情绪/基本面/市场 5 分析师并行 → 多空辩论 → 研究经理汇总),数据全部走 QuantMind 本地(QuantDB + PG 新闻富集 + Huntly),新闻双通道(自家 FinBERT 量化情绪 + 实时搜索补充)。用户说「深度研究」「个股深度研究」「研究某只股票」「多角度分析」时使用:跑 research_data.py 取数 → 并行分析师 → 辩论 → 汇总报告 → PDF → 落盘深度分析目录。触发词:深度研究、个股研究、研究600519、多角度分析、全面分析某股

Trending

More talk lately.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 1 mentionSep 2026: 0 mentionsOct 2026: 2 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the qusong0627/QuantMind repository that our weekly crawl found: only 3 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.