Skillshub tracking-crypto-prices

install

source · Clone the upstream repo

git clone https://github.com/ComeOnOliver/skillshub

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/jeremylongshore/claude-code-plugins-plus-skills/tracking-crypto-prices" ~/.claude/skills/comeonoliver-skillshub-tracking-crypto-prices && rm -rf "$T"

manifest: skills/jeremylongshore/claude-code-plugins-plus-skills/tracking-crypto-prices/SKILL.md

Tracking Crypto Prices

Overview

Foundation skill providing real-time and historical cryptocurrency price data for 10,000+ coins. This is the data layer for the crypto plugin ecosystem -- 10+ other skills depend on it for price information.

Prerequisites

Install dependencies:
```
pip install requests pandas yfinance
```
Optional:
```
pip install python-dotenv
```
for API key management
Optional: Get free API key from https://www.coingecko.com/en/api for higher rate limits

Add API key to

${CLAUDE_SKILL_DIR}/config/settings.yaml

or set

COINGECKO_API_KEY

env var

Instructions

Check current prices for one or more symbols:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbols BTC,ETH,SOL

Use watchlists to scan predefined groups (available:

top10

defi

layer2

stablecoins

memecoins

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10     # Top 10 by market cap
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist defi      # DeFi tokens
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist layer2    # Layer 2 tokens

Fetch historical data by period or custom date range:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 30d
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 90d --output csv
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --start 2024-01-01 --end 2024-12-31  # 2024 full year

Configure settings by editing
```
${CLAUDE_SKILL_DIR}/config/settings.yaml
```
to customize cache TTLs, default currency, and custom watchlists. See
```
references/implementation.md
```
for the full configuration reference.

Output

Table (default): Symbol, price, 24h change, volume, market cap in formatted columns
JSON (
```
--format json
```
): Machine-readable with prices array and metadata
CSV (
```
--output csv
```
): OHLCV historical data export to
```
${CLAUDE_SKILL_DIR}/data/
```

See

${CLAUDE_SKILL_DIR}/references/implementation.md

for detailed output format examples.

Error Handling

Error	Cause	Solution
`Unknown symbol: XYZ`	Invalid ticker	Check spelling, use `--list` to search
`Rate limit exceeded`	Too many API calls	Wait 60s, or add API key for higher limits
`Network error`	No internet	Check connection; cached data used automatically
`Cache stale`	Data older than TTL	Shown with warning, refreshes on next call

The skill auto-manages rate limits: cache first, exponential backoff, yfinance fallback, stale cache as last resort.

Examples

Quick price check:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
# Output: BTC (Bitcoin) $97,234.56 USD +2.34% (24h) | Vol: $28.5B | MCap: $1.92T

Watchlist scan:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10

Historical export:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --period 90d --output csv
# Creates: ${CLAUDE_SKILL_DIR}/data/ETH_90d_[date].csv

Resources

```
${CLAUDE_SKILL_DIR}/references/implementation.md
```
- Output formats, full config, integration guide, file map
CoinGecko API - Primary data source
yfinance - Fallback for historical data