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Alphagbm Alert

CommunityPopular
AlphaGBM
alphagbm-alert

Set price, IV, or activity-based alerts with contextual notifications. Alert types include IV rank threshold crossing, price support/resistance breaks, unusual activity detection, earnings approaching, and VRP signal changes. Triggers: "alert me when AAPL IV rank above 80", "notify if NVDA drops below 850", "earnings alert for TSLA", "VRP alert", "set price alert", "alert when IV spikes", "notify on unusual activity", "my alerts", "delete alert"

Overview

PublisherAlphaGBM
Repositoryskills
Skill namealphagbm-alert
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 Alert 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-alert .claude/skills/alphagbm-alert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alphagbm Alert 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 Alert 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 Alert 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 Alerts

Set intelligent alerts based on price, IV rank, unusual activity, earnings timing, and VRP signals -- each alert fires with full context so you can act immediately.

What This Skill Does

Alert TypeDescription
IV Rank ThresholdFires when IV rank crosses above or below a specified level (e.g., IV rank > 80)
Price LevelFires when price breaks through support, resistance, or a custom level
Unusual ActivityFires when unusual options flow is detected on a specified ticker
Earnings ApproachingFires N days before a ticker's earnings announcement
VRP Signal ChangeFires when the Volatility Risk Premium flips (e.g., from negative to positive)
One-Time vs RecurringOne-time alerts auto-delete after firing; recurring alerts reset and keep watching

How to Use

Input: An alert configuration command specifying ticker, condition, and threshold.

Output:

  • Alert configuration confirmation with summary of what will be monitored
  • When triggered: alert notification with full context (what triggered, current values, suggested action)
  • Alert management: list active alerts, edit conditions, delete alerts

Example Queries:

  • alert me when AAPL IV rank above 80 — IV rank threshold alert
  • notify if NVDA drops below 850 — Price level alert
  • earnings alert for TSLA — Alert 7 days before TSLA earnings
  • VRP alert AAPL — Notify when AAPL VRP signal changes
  • set price alert SPY 550 — Simple price target alert
  • my alerts — List all active alerts
  • delete alert 3 — Remove a specific alert

Mock Data

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

  • active-alerts.json — Sample list of configured alerts
  • triggered-alerts.json — Recently triggered alerts with context
  • alert-config-response.json — Example alert creation confirmation

API Endpoint

GET    /api/user/alerts
POST   /api/user/alerts
PUT    /api/user/alerts/{alert_id}
DELETE /api/user/alerts/{alert_id}
GET    /api/user/alerts/triggered

POST body:

json
{
  "symbol": "AAPL",
  "type": "iv_rank_above",
  "threshold": 80,
  "recurring": true
}

Response fields: alert_id, status, condition_summary, triggered_alerts[], context

Related Skills

SkillRelevance
alphagbm-watchlistWatchlist tickers are natural candidates for alerts
alphagbm-iv-rankIV rank data that powers IV threshold alerts
alphagbm-unusual-activityUnusual flow detection that powers activity alerts

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

Frequently asked questions

What does the Alphagbm Alert AI skill do?

Set price, IV, or activity-based alerts with contextual notifications. Alert types include IV rank threshold crossing, price support/resistance breaks, unusual activity detection, earnings approaching, and VRP signal changes. Triggers: "alert me when AAPL IV rank above 80", "notify if NVDA drops below 850", "earnings alert for TSLA", "VRP alert", "set price alert", "alert when IV spikes", "notify on unusual activity", "my alerts", "delete alert"

Why use Alphagbm Alert on TypingMind?

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

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

Which AI models can use Alphagbm Alert?

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 Alert?

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

Is the Alphagbm Alert 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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