Market Watch logo

Market Watch

OrganizationPopular
ginlix-ai
market-watch

Track live prices for the tickers central to the current task. Registers symbols for an ambient real-time price feed, keeps analysis current with the newest quotes, and re-checks staleness before stating prices.

Overview

Publisherginlix-ai
RepositoryLangAlpha
Skill namemarket-watch
Stars
1.8K
Forks
288
Bundled files
Instructions only
LicenseApache-2.0
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 ginlix-ai on GitHub. Read the source before you install it.

Installation

Install the Market Watch 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/ginlix-ai/LangAlpha.git /tmp/LangAlpha
mkdir -p .claude/skills
cp -r /tmp/LangAlpha/plugins/langalpha_research/skills/market-watch .claude/skills/market-watch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Watch 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 Market Watch 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 Market Watch 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.

Market Watch

Keep intraday analysis anchored to live prices. When a task turns on current price, a level check, an intraday move, a "where is it trading now", register the central tickers so fresh quotes arrive automatically and your numbers never go stale mid-task.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: .agents/skills/research-conventions/SKILL.md, read before a price you pulled here lands in a deliverable.

When to use

Intraday or live-price analysis where the price may move while you work: "is NVDA above 205 right now", "how's TSLA trading into the print", sizing a level off the current quote. Skip it for purely historical or end-of-day work where a single snapshot is enough.

Workflow

  1. At the start of the task, identify the ticker(s) central to the request and register them immediately with watch_market.
  2. While they matter, read the ambient feed (below) for the current price rather than re-quoting on every step.
  3. When live tracking is no longer relevant, call watch_market with action="unwatch" to stop watching some or all symbols (omit symbols to clear the whole list).

How the feed works

Once a symbol is watched, fresh prices arrive on their own as <market-watch> price blocks attached to conversation messages and tool results. This is ambient data: not user text, and not tool output you requested. Each block is a snapshot at a moment in time; the newest <market-watch> entry in the conversation is the current price, and any earlier entry (including numbers in your own earlier statements) may be stale.

Reading rules

  • Treat the newest <market-watch> entry as the live price. Prefer it, or a fresh get_quote, over any older number in the thread.
  • If the price moves materially mid-analysis, acknowledge it and adapt your read rather than silently carrying the older figure.
  • Before you state a price in a final answer: if the newest feed entry is more than a minute old, make one get_quote call to re-check first.

When a price leaves this skill

A live price is only live in the thread. The moment it lands in a note, a slide, a cell or a file, it is a historical figure, and it carries two things beside it: the time it was retrieved and where it came from, the ambient feed or a named get_quote call. A price written into a deliverable without its retrieval time is stale the moment the file is saved, and nothing on the page tells the reader that.

The same stamp travels with everything built on the price: market cap, enterprise value, and every multiple. The full always-timestamped list and the freshness threshold for each data type are in .agents/skills/research-conventions/references/evidence.md.

When the feed contradicts a number already stated this session, restate it: give both figures with both timestamps, and say the later one governs. One sentence does it, "we said 204.10 at 10:42; it is 207.60 as of 11:15, and the level check below uses the later figure". Switching silently leaves the reader unable to tell a correction from a typo, and carrying the older figure forward is the failure this feed exists to prevent. Where the earlier figure already went into a saved artifact, update the artifact and say what changed in the message that delivers it.

Mechanics to know

  • Stamps only flow while the market session is open: expect no feed outside trading hours.
  • Updates are throttled: roughly one stamp per ~25s across the turn, not a tick-by-tick stream.
  • The watch list is per-thread, capped at 10 symbols, and expires after ~6h of inactivity. On a long task, if the feed goes quiet, just call watch_market again to re-register.

Frequently asked questions

What does the Market Watch AI skill do?

Track live prices for the tickers central to the current task. Registers symbols for an ambient real-time price feed, keeps analysis current with the newest quotes, and re-checks staleness before stating prices.

Why use Market Watch on TypingMind?

Because you install it once and use it with any model. Market Watch 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 Market Watch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/market-watch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Market Watch?

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 Market Watch?

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

Is the Market Watch AI skill free?

Yes. It is published on GitHub by ginlix-ai under the Apache-2.0 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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