Alphagbm Compare logo

Alphagbm Compare

CommunityPopular
AlphaGBM
alphagbm-compare

Side-by-side comparison of 2-5 stocks or options across GBM Five Pillars scores, options metrics, technicals, and valuations. Identifies the winner by category. Triggers: "compare AAPL vs MSFT", "NVDA or AMD", "which is cheaper TSLA or META options", "tech stock comparison", "side by side", "versus", "which is better", "compare options", "cheapest IV", "best value stock"

Overview

PublisherAlphaGBM
Repositoryskills
Skill namealphagbm-compare
Stars
2.7K
Forks
290
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AlphaGBM on GitHub. Read the source before you install it.

Installation

Install the Alphagbm Compare AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AlphaGBM/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alphagbm-compare .claude/skills/alphagbm-compare
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alphagbm Compare in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Alphagbm Compare on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Alphagbm Compare is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AlphaGBM Compare

Side-by-side comparison of 2-5 stocks or options across every AlphaGBM dimension, so you can pick the best opportunity.

What This Skill Does

DimensionWhat Gets Compared
GBM Five PillarsMomentum, Value, Quality, Volatility, Sentiment scores for each ticker
Options MetricsIV rank, IV percentile, VRP, skew, term structure for each ticker
TechnicalsRSI, MACD, moving averages, support/resistance levels
ValuationsP/E, P/S, EV/EBITDA, PEG ratio — who is cheaper?
Category WinnerBest ticker in each dimension highlighted
Overall RecommendationWeighted composite ranking across all dimensions

How to Use

Input: 2-5 ticker symbols with a comparison query.

Output:

  • Comparison table with all dimensions side by side
  • Winner highlighted per category (green badge)
  • Overall recommendation with composite score
  • Key differentiators: what makes the winner stand out
  • Trade idea: if you had to pick one, which and why

Example Queries:

  • compare AAPL vs MSFT — Head-to-head across all dimensions
  • NVDA or AMD — Which semiconductor name is the better trade?
  • which is cheaper TSLA or META options — Options cost comparison
  • tech stock comparison AAPL MSFT GOOGL AMZN META — Full sector comparison
  • compare options AAPL vs MSFT 30d ATM — Specific options contract comparison

Mock Data

Mock data files are located in mock-data/compare/ and include:

  • aapl-vs-msft.json — Full comparison output for AAPL vs MSFT
  • tech-five-way.json — Five-way comparison of mega-cap tech
  • options-cost-compare.json — Options-specific metrics comparison

API Endpoint

GET /api/analytics/compare

Query parameters:

  • symbols (string, required) — Comma-separated tickers (2-5), e.g., "AAPL,MSFT,GOOGL"
  • dimensions (string, default "all") — Comma-separated: "pillars", "options", "technicals", "valuations"
  • options_expiry (string) — Target expiry for options comparison (e.g., "30d", "60d")

Response fields: tickers[], comparison_table, category_winners, overall_ranking[], recommendation

Related Skills

SkillRelevance
alphagbm-stock-analysisDetailed single-stock analysis for deeper dives after comparison
alphagbm-options-scoreThe options score that feeds into the comparison
alphagbm-iv-rankIV rank data used in the options metrics comparison

Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Frequently asked questions

What does the Alphagbm Compare AI skill do?

Side-by-side comparison of 2-5 stocks or options across GBM Five Pillars scores, options metrics, technicals, and valuations. Identifies the winner by category. Triggers: "compare AAPL vs MSFT", "NVDA or AMD", "which is cheaper TSLA or META options", "tech stock comparison", "side by side", "versus", "which is better", "compare options", "cheapest IV", "best value stock"

Why use Alphagbm Compare on TypingMind?

Because you install it once and use it with any model. Alphagbm Compare is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Alphagbm Compare in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-compare. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Alphagbm Compare?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Alphagbm Compare?

As many as you like. As long as a model supports skills, you can use Alphagbm Compare with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Alphagbm Compare AI skill free?

Yes. It is published on GitHub by AlphaGBM under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
nextlevelbuilder logo

Ui Styling

nextlevelbuilder
OrganizationPopular

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user…

13.7K
128.8K
14 files
View
JuliusBrussee logo

Caveman Stats

JuliusBrussee
CommunityPopular

Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.

6.2K
106.3K
Instructions
View
nexu-io logo

Github Dashboard

nexu-io
OrganizationPopular

GitHub repository analytics dashboard — stars, forks, contributors, issues, pull requests, recent activity, and top contributors. Use when the brief asks for a GitHub repo dashboard, open-source…

11.2K
96.7K
5 files
View
addyosmani logo

Interview Me

addyosmani
CommunityPopular

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an…

10.1K
95.8K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇