claude

daymade-financial

Financial data and investment-research suite covering the full China A-share and global equity data pipeline: Bigdata.com (RavenPack) structured financials and news sentiment, US equity fundamentals via yfinance, Gangtise (岗底斯) OpenAPI research suite installation and orchestration, A-share news and policy aggregation, A-share pharmaceutical sector daily reporting, structured devil's-advocate pressure-testing of investment theses, and adversarial due diligence on inflated benchmark claims with replicability mapping. Install once for the complete financial research workflow.

1,527 on GitHubv1.5.2MITupdated todaysuite
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Plugin daymade-financial from marketplace daymade-skills in daymade/claude-code-skills. Commands read from the repo's manifest — today.

What it installs

Skills (9)

  • ashare-news-fetcher

    抓取 A 股消息面情报:从财联社、华尔街见闻、金十、新浪 7x24、东财快讯、 证监会/央行/上交所/财政部政策公告、东方财富股吧等公开来源抓取与股票相关的 新闻、政策、情绪,输出结构化 JSON 或 Markdown。 当用户提到“A 股消息面”、“抓新闻”、“个股消息”、“政策监管”、“股吧情绪”、 “财联社”、“东财快讯”、“市场情绪”或需要把某只股票相关的公开情报聚合出来时 触发。也适用于“帮我看看 000001 最近有什么消息”这类口语化请求。

  • benchmark-due-diligence

    Runs adversarial due-diligence on a benchmark the user envies — a founder, KOL, company, or product whose success looks inflated — splitting marketing bubble from real signal, then mapping the validated playbook onto the user's own resources. Use for 尽调/对标/拆解 a competitor, 抄/偷师 their playbook, or su

  • bigdata-skill

    Pulls Bigdata.com (RavenPack) financial and news data via the official bigdata-client SDK and /v1/* REST endpoints — structured financials, prices, analyst estimates, entity-sentiment series, annotated chunk search, screener. Use when the Bigdata MCP's tearsheets/search feel thin and you need the ma

  • daymade-sector-research

    A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team execution with fresh-context adversarial verification. Use for 「XX 行业 Top N/Top 10 标的」, 「这些标的最近一周/一个月发过哪些

  • devils-advocate

    结构化压力测试一个论点(devil's advocate / 魔鬼代言人):把论点拆成显性断言与隐性假设(A1/A2 编号), 逐条在用户给定的证据材料里检索带出处的反方论证,标 High/Medium/Low 风险等级,补基础比率外部视角, 最后给出「可监测的证伪信号」清单;输出结构化 findings + 人读叙事双层结果。找不到反证时如实声明「未找到」, 绝不编造。复刻自 LinqAlpha(对冲基金 AI 产品)公开的 Devil's Advocate 架构,叠加 CIA 结构化分析技术与 RAND 假设规划。当用户要「压力测试 / 唱反调 / 找盲点 / 拆假设 / 挑战这个论点 /

  • financial-data-collector

    Collects real financial data for any US publicly traded company from free public sources (yfinance) and outputs structured JSON for downstream skills (DCF modeling, comps analysis, earnings review): market data, historical financials, WACC inputs, analyst estimates — never fabricated fallback values

  • financial-router

    Routes finance: Bigdata/RavenPack, US fundamentals/yfinance, A-share news/policy, sector Top N/公告, Gangtise/岗底斯 setup. Reads one bundled specialist. Pharma reporting and general argument review keep their own direct entries.

  • gangtise-copilot

    Gangtise (岗底斯投研) OpenAPI skill suite installer and diagnostic tool. One-click install 19 official skills (data, research, utility), configure accessKey/secretAccessKey, run health diagnostics. Trigger when user mentions Gangtise, 岗底斯, any gangtise-* skill, credential setup, or reports errors like 't

  • pharma-daily-report

    生成 A 股医药行业日报:从新浪财经抓取 20 只核心医药股实时行情,分析 7 大细分赛道排名、涨跌榜 TOP 3、资金流向,然后通过飞书发送富文本日报。 覆盖恒瑞医药、百济神州、智飞生物、药明康德、迈瑞医疗、片仔癀、云南白药等 20 只核心标的。 当用户需要 医药日报、医药行业日报、pharma daily report、 新浪财经医药数据、A 股医药板块分析、飞书推送医药数据、 制药行业快报 时触发。也适用于"帮我看一下今天医药板块"、 "给飞书发一份今天的医药数据"等口语化请求。

View source on GitHub

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