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Kraken Multi Pair

Organization
krakenfx
kraken-multi-pair

Monitor multiple trading pairs simultaneously for screening and comparison.

Overview

Publisherkrakenfx
Repositorykraken-cli
Skill namekraken-multi-pair
Stars
754
Forks
104
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 krakenfx on GitHub. Read the source before you install it.

Installation

Install the Kraken Multi Pair 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.
    https://github.com/krakenfx/kraken-cli/tree/main/skills/kraken-multi-pair
  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/krakenfx/kraken-cli.git /tmp/kraken-cli
mkdir -p .claude/skills
cp -r /tmp/kraken-cli/skills/kraken-multi-pair .claude/skills/kraken-multi-pair
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kraken Multi Pair 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 Kraken Multi Pair 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 Kraken Multi Pair 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.

kraken-multi-pair

Use this skill for:

  • screening multiple pairs at once (price, spread, volume)
  • comparing relative performance across assets
  • building watchlists for agent-driven monitoring
  • identifying opportunity across a pair universe

Multi-Pair Ticker Snapshot

Pass multiple pairs to a single ticker call:

bash
kraken ticker BTCUSD ETHUSD SOLUSD DOTUSD -o json 2>/dev/null

The response contains one object per pair. Extract and compare:

bash
kraken ticker BTCUSD ETHUSD SOLUSD -o json 2>/dev/null | jq 'to_entries[] | {pair: .key, last: .value.last_price, volume: .value.volume_24h}'

Multi-Pair Streaming

Stream tickers for several pairs simultaneously:

bash
kraken ws ticker BTC/USD ETH/USD SOL/USD -o json 2>/dev/null

Each NDJSON line includes a pair identifier. Route updates by pair in the agent loop:

bash
kraken ws ticker BTC/USD ETH/USD SOL/USD -o json 2>/dev/null | while read -r line; do
  PAIR=$(echo "$line" | jq -r '.data[0].symbol // empty')
  LAST=$(echo "$line" | jq -r '.data[0].last // empty')
  [ -n "$PAIR" ] && echo "$PAIR: $LAST"
done

Pair Discovery

List all tradable pairs:

bash
kraken pairs -o json 2>/dev/null

Filter to USD-quoted pairs for a consistent base:

bash
kraken pairs -o json 2>/dev/null | jq '[to_entries[] | select(.key | endswith("USD")) | .key]'

Spread Comparison

Compare bid-ask spreads across pairs to gauge liquidity:

bash
kraken ticker BTCUSD ETHUSD SOLUSD -o json 2>/dev/null | jq 'to_entries[] | {pair: .key, spread: (.value.ask_price - .value.bid_price)}'

Volume Screening

Identify high-volume pairs from a watchlist:

bash
kraken ticker BTCUSD ETHUSD SOLUSD ADAUSD DOTUSD -o json 2>/dev/null | jq 'to_entries | sort_by(-.value.volume_24h) | .[] | {pair: .key, vol_24h: .value.volume_24h}'

Futures Multi-Symbol

Monitor multiple futures contracts:

bash
kraken futures tickers -o json 2>/dev/null

Stream multiple futures tickers:

bash
kraken futures ws ticker PF_XBTUSD PF_ETHUSD -o json 2>/dev/null

Watchlist Pattern

Define a watchlist as a space-separated string and reuse across commands:

bash
WATCHLIST="BTCUSD ETHUSD SOLUSD ADAUSD DOTUSD"
kraken ticker $WATCHLIST -o json 2>/dev/null
kraken ws ticker $WATCHLIST -o json 2>/dev/null

Context Efficiency

  • Batch pairs into a single command instead of one call per pair.
  • Use streaming for continuous monitoring; use REST snapshots for periodic checks.
  • Limit watchlist size to reduce context window consumption when passing results to an agent.

If you hit a mismatch between what you are trying to do and the CLI's interface or responses — including a mismatch between this skill and the installed CLI version's contract — feel free to submit feedback with kraken feedback.

Frequently asked questions

What does the Kraken Multi Pair AI skill do?

Monitor multiple trading pairs simultaneously for screening and comparison.

Why use Kraken Multi Pair on TypingMind?

Because you install it once and use it with any model. Kraken Multi Pair 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 Kraken Multi Pair in TypingMind?

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

Which AI models can use Kraken Multi Pair?

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 Kraken Multi Pair?

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

Is the Kraken Multi Pair AI skill free?

Yes. It is published on GitHub by krakenfx 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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