kraken-market-intel

Read market state with low-noise data pulls and streaming updates.

23 stars

Best use case

kraken-market-intel is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Read market state with low-noise data pulls and streaming updates.

Teams using kraken-market-intel should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/kraken-official-market-intel/SKILL.md --create-dirs "https://raw.githubusercontent.com/jiayaoqijia/cryptoskill/main/skills/exchanges/kraken-official-market-intel/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/kraken-official-market-intel/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How kraken-market-intel Compares

Feature / Agent	kraken-market-intel	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Read market state with low-noise data pulls and streaming updates.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# kraken-market-intel

Use this skill to answer questions like:
- "What is the current BTCUSD price?"
- "Is spread widening?"
- "What is short-term trend from candles?"

## Snapshot Pattern

```bash
kraken ticker BTCUSD -o json 2>/dev/null
kraken orderbook BTCUSD --count 10 -o json 2>/dev/null
kraken ohlc BTCUSD --interval 60 -o json 2>/dev/null
```

## Streaming Pattern

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

Parse NDJSON line by line. Do not treat stream output as one JSON object.

## Context Efficiency

- Prefer one pair at a time unless comparison is needed.
- Use `--count` and `--depth` flags to limit payload size.
- Prefer streaming over high-frequency polling.

## Typical Output Use

- Ticker: last price, bid, ask
- Orderbook: near-book depth and imbalance
- OHLC: trend and volatility windows

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