skills README

The project's README from github.com/AlphaGBM/skills. As one markdown file: README.md.

AlphaGBM Skills

Market research inside your AI workspace.

Find stock opportunities. Compare options strategies. Understand news. Break down research. Review investment decisions.

MIT GitHub stars

Website · 中文 · Catalogue · Demos · Access & usage

27 Skills · 5 core Skills + 22 focused Skills

Category / 分类 Count / 数量
Core Skills 5
Stocks 9
Options 11
Commodities 1
Digital Assets 1

Counts include method-reference packages, not just callable APIs. The catalogue preserves each package's access and release status; a preview is not a claim of verified production availability.

Start with the result you need

Core Skill What you receive Package
Stock Opportunities Fundamentals, sentiment, risk and available opportunity scores alphagbm-stock-research
Options Strategies Candidate scores, capital requirements and risk limitations alphagbm-options-research
News Impact Reported facts, affected assets and impact inferences alphagbm-news-impact
Research Report Breakdown Institutional views, original ratings, assumptions and sources alphagbm-report-breakdown
Investment Review Changes between two supplied snapshots, compared locally alphagbm-investment-review

Install one Skill:

npx skills add AlphaGBM/skills --skill alphagbm-stock-research

Then ask your AI:

Use AlphaGBM to research NVDA. Explain supporting evidence, counterevidence and what could change the conclusion. Ask before using my research allowance.

The installer lets you choose your AI tool. Callable packages contain a self-contained Python 3.9+ runner; no separate AlphaGBM CLI installation is required.

Installation, local-source upgrades and version checks.

Choose a focused tool

Stocks: Stock Analysis · Dividend Strategy · Market Sentiment · Research Reports · Momentum Following · ETF Strategy · Grid Plan · Dollar-Cost Averaging · Smart Money Tracking.

Options: Scoring, volatility, Greeks, strategy comparisons, payoff analysis and risk methods. See the options directory for the exact eleven packages and their access status.

Commodities and digital assets: focused research methods, clearly labelled as references rather than live data integrations.

npx skills add AlphaGBM/skills --list
npx skills add AlphaGBM/skills --skill alphagbm-etf-strategy
npx skills add AlphaGBM/skills --skill alphagbm-research-reader

Market Sentiment includes VIX and fear indicators within one method; these are no longer separate cards. Smart Money Tracking summarizes disclosed records and never copies or places trades.

Your workspace, your AlphaGBM account

Create a personal key in your account and configure ALPHAGBM_API_KEY securely in your tool's environment. Never paste a key into a conversation or commit it to a repository.

Account plans · Verification boundary

Examples you can inspect

Every current package has an entry in the demo index: either an explicitly synthetic output fixture or a source-based example request. Neither is presented as a captured live paid response. Demo guide.

One catalogue, matching website cards

catalog/catalog.json defines names, categories, stable IDs and exact package paths. The website imports a commit-pinned copy and uses those paths in copied instructions. Core Skills live under skills/core/; focused tools live under their asset categories. Contributing.

Investor-inspired methods are maintained separately in AlphaGBM/investment-masters; they are not counted or duplicated here.

Upgrading from the flat directory

Retained package IDs and --skill install names are unchanged, but file paths have moved. Reinstall using the commands above; replace old skills/<id>/ bookmarks with catalogue paths. Research-management cards and retired standalone packages are removed from the latest catalogue, not silently mapped to unrelated functions. Existing pinned versions remain available in Git history. The shared runner's compatibility commands are not new catalogue entries.

Development

python3 scripts/build_catalog.py
python3 scripts/build_catalog.py --check
python3 -m unittest discover -s scripts -p 'test_*.py'
npx skills add . --list

MIT licensed. See LICENSE.

skills (AlphaGBM/skills)

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3.6K ·GitHub
Skills
这是什么？AlphaGBM Skills 是一个包含 29 个开源 Skill 的合集，把针对股票、期权、大宗商品和数字资产的实时市场研究工作流带进 Claude Code 和 Cursor 等 AI 工具。
这是我要运行的 Python 应用，还是添加到 AI 助手中的技能？这些是安装到 AI 工具中的 Skill 包，而不是独立应用；每个可调用的包都自带一个独立的 Python 3.9+ 运行器。
怎么安装其中一个技能？运行附带的安装程序，选择你的 AI 工具和想要的技能，然后直接在对话中让助手使用它即可。
需要 AlphaGBM API 密钥吗？要做基于账号的研究，你需要创建个人密钥，并在工具的环境中设置 ALPHAGBMAPIKEY；阅读已发布的研究内容则不需要密钥。
它会拉取实时行情或进行真实交易吗？大多数包是方法参考指南而非实时数据源，像 Smart Money Tracking 这样的功能也只汇总已公开披露的记录；这些研究明确表示不构成交易信号或收益保证。
哪些 AI 工具能配合这些技能使用？这些技能专为 Claude Code 和 Cursor 等 AI 编码/工作区工具设计，安装程序可让你选择要面向哪个工具。
一共有多少个技能，如何组织？共有 29 个技能——5 个核心技能加 22 个专项技能——覆盖股票（9 个）、期权（11 个）、大宗商品（1 个）和数字资产（1 个）。
五个核心技能是什么？Stock Opportunities、Options Strategies、News Impact、Research Report Breakdown 和 Investment Review，各自映射到一个包，如 alphagbm-stock-research 或 alphagbm-options-research。
安装技能之前能看到示例吗？可以，每个包在演示索引中都有一个条目，要么展示合成的输出样例，要么展示基于来源的示例请求，绝不会展示捕获的真实付费响应。
如果我用的是旧的扁平 skills/ 目录，有什么变化？包被移到了 skills/core/ 和按类别划分的资源文件夹下，但包 ID 和 --skill 安装名称保持不变，因此你只需重新安装，并把书签更新为新的目录路径即可。
What are similar projects?a-stock-data, FinceptTerminal, akshare, UZI-Skill, serenity-skill, easy-stock, daily_stock_analysis, backtrader
Which topics is it in?options-trading, investment-research, stock-analysis, market-data, news, quant, opensource, stock-market, quantitative-finance, fintech, trading, claude-code-skill
Creator
AlphaGBM
Size
0.5 MB
Stars
3.6K
Updated
CommitSep 24
Age
6mo
Commits · 90 Days