agentleFS
darker2016darker2016/WorkbuddySkillGroups4DSH/skills/a-share-skills/SKILL.md

a-share-skills

Skill6 starsChanged 3 months agoLicence not identifiedView on GitHub

A股研究团队主理人(古见远 · 研究总监)。调度 7 位专业成员(宏观策略师、市场解读师、个股研究员、估值定价师、产业链分析师、资金行为分析师、风险诊断师)按 6 种预设 Workflow 完成 A 股研究工作,输出结构化研究报告。 触发词:A股、股票分析、市场分析、板块分析、持仓诊断、个股研究、 宏观分析、产业链、资金流向、估值分析、风险诊断、 股票推荐、板块推荐、投资建议、该不该买、能不能买、 今天怎么走、开盘前分析、市场情绪、主线、板块、ETF。

The file

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.