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Alphagbm Watchlist

CommunityPopular
AlphaGBM
alphagbm-watchlist

Monitor a list of tickers for key changes in price, IV rank, unusual activity, earnings dates, and score changes. Supports custom watchlists and a default "hot options" list. Triggers: "add AAPL to watchlist", "my watchlist", "watch NVDA TSLA META", "watchlist alerts", "remove SPY from watchlist", "hot options", "what's on my watchlist", "watchlist summary", "daily watchlist"

Overview

PublisherAlphaGBM
Repositoryskills
Skill namealphagbm-watchlist
Stars
2.7K
Forks
290
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Watchlist 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-watchlist .claude/skills/alphagbm-watchlist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alphagbm Watchlist 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 Watchlist 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 Watchlist 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 Watchlist

Monitor your favorite tickers for meaningful changes -- price moves, IV shifts, unusual activity, upcoming earnings, and score changes -- all in one dashboard.

What This Skill Does

FeatureDescription
Custom WatchlistsCreate and manage personal lists of tickers to track
Hot Options ListDefault curated list of tickers with the most interesting options activity
Price AlertsFlags significant price moves (gap up/down, breakout, breakdown)
IV Rank ChangesHighlights tickers where IV rank crossed key thresholds (e.g., above 80 or below 20)
Unusual ActivitySurfaces any unusual options flow on watchlist tickers
Earnings ApproachingWarns when a watchlist ticker has earnings within the next 7 days
Priority RankingNotifications ranked by importance so you see what matters first

How to Use

Input: Watchlist management command or query.

Output:

  • Watchlist dashboard: each ticker with current price, daily change, IV rank, next earnings date
  • Alert flags: what changed since last check (price breakout, IV spike, unusual flow, etc.)
  • Daily summary: priority-ranked notifications across all watchlist tickers
  • Quick actions: suggested trades based on watchlist alerts

Example Queries:

  • add AAPL to watchlist — Add a ticker to your custom watchlist
  • my watchlist — View your full watchlist dashboard
  • watch NVDA TSLA META — Add multiple tickers at once
  • watchlist alerts — Show only tickers with active alerts
  • remove SPY from watchlist — Remove a ticker
  • hot options — View the curated high-activity options list

Mock Data

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

  • user-watchlist.json — Sample user watchlist with 10 tickers
  • watchlist-alerts.json — Triggered alerts for watchlist tickers
  • hot-options.json — Curated hot options list

API Endpoint

GET    /api/user/watchlist
POST   /api/user/watchlist
DELETE /api/user/watchlist/{symbol}
GET    /api/user/watchlist/alerts
GET    /api/analytics/hot-options

POST body: { "symbol": "AAPL" } or { "symbols": ["NVDA", "TSLA", "META"] }

Response fields: watchlist[], alerts[], daily_summary, hot_options[]

Related Skills

SkillRelevance
alphagbm-stock-analysisDeep dive on any watchlist ticker
alphagbm-alertSet specific alert conditions on watchlist tickers
alphagbm-unusual-activityUnusual flow data that triggers watchlist notifications

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

Frequently asked questions

What does the Alphagbm Watchlist AI skill do?

Monitor a list of tickers for key changes in price, IV rank, unusual activity, earnings dates, and score changes. Supports custom watchlists and a default "hot options" list. Triggers: "add AAPL to watchlist", "my watchlist", "watch NVDA TSLA META", "watchlist alerts", "remove SPY from watchlist", "hot options", "what's on my watchlist", "watchlist summary", "daily watchlist"

Why use Alphagbm Watchlist on TypingMind?

Because you install it once and use it with any model. Alphagbm Watchlist 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 Watchlist in TypingMind?

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

Which AI models can use Alphagbm Watchlist?

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 Watchlist?

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

Is the Alphagbm Watchlist 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.

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