A股全栈数据工具包：行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
What it is, and how people use it
A股全栈数据工具包：行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources It sits on the Agent Skills shelf of the catalog, maintained by @simonlin1212.
Why builders keep it installedAgent Skills benefits
A skill packages the exact steps, file conventions and checklists an expert would follow. The model spends its context on your feature instead of figuring out how the tool works.
Commit the skill to your project and every teammate's Claude Code, Codex or Cursor run inherits the same quality bar - including the new teammate on day one.
Tuned instructions cut failed attempts and half-baked output. Fewer retries means fewer tokens burned and noticeably shorter sessions on paid model plans.
Skills are plain markdown and scripts the community versions together. A model upgrade changes behaviour, not your workflow - unlike a bespoke prompt that breaks silently.
Contributorsloading from GitHub…
Languagesestimated from snapshot
- Python 84.8%
- Shell 11.4%
- JavaScript 3.8%