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)

Searching Database…

3.7K ·GitHub
What is this?AlphaGBM Skills is a collection of 29 open-source Skills that bring real-time market research workflows for stocks, options, commodities and digital assets into AI tools like Claude Code and Cursor.
Is this a Python app I run, or skills I add to my AI assistant?These are Skill packages you install into an AI tool rather than a standalone app; each callable package ships a self-contained Python 3.9+ runner.
How do I install one of these skills?Run the bundled installer, pick your AI tool and the skill you want, then just ask your assistant to use it conversationally.
Do I need an AlphaGBM API key?For account-backed research you create a personal key and set ALPHAGBMAPIKEY in your tool's environment; reading published research needs no key.
Does this pull live market data or place real trades?Most packages are method-reference guides rather than live data feeds, and features like Smart Money Tracking only summarize disclosed records; the research is explicitly not a trading signal or return guarantee.
Which AI tools work with these skills?The skills are designed for AI coding/workspace tools such as Claude Code and Cursor, with the installer letting you select which tool to target.
How many skills are there and how are they organized?There are 29 skills total — 5 core skills plus 22 focused ones — covering Stocks (9), Options (11), Commodities (1) and Digital Assets (1).
What are the five core skills?Stock Opportunities, Options Strategies, News Impact, Research Report Breakdown and Investment Review, each mapped to a package like alphagbm-stock-research or alphagbm-options-research.
Can I see examples before installing a skill?Yes, every package has an entry in the demo index shown as either a synthetic output fixture or a source-based example request, never a captured live paid response.
What changed if I was using the old flat skills/ directory?Packages moved under skills/core/ and category-based asset folders, but package IDs and --skill install names stayed the same, so you just reinstall and update any bookmarks to the new catalogue paths.
Creator
AlphaGBM
Size
0.5 MB
Stars
3.7K
Updated
CommitSep 24
Age
6mo
Commits · 90 Days