Provides trading strategies for cryptocurrencies based on Binance market data, calculated technical analysis indicators, and aggregated market sentiment from crypto RSS news feeds. Use when users ask for trading advice, strategy recommendations, or analysis combining price data, TA, and sentiment for crypto assets like ETH, BTC, or altcoins.
npx claudepluginhub joshuarweaver/cascade-business-ops --plugin kukapay-crypto-skillsThis skill uses the workspace's default tool permissions.
This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Checks Next.js compilation errors using a running Turbopack dev server after code edits. Fixes actionable issues before reporting complete. Replaces `next build`.
This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools.
/api/v3/ticker/price and /api/v3/ticker/24hr)/api/v3/klines with 30-100 days of data)Use the scripts/calculate_ta.py script to compute indicators from historical data.
Combine TA signals, price action, and sentiment score to recommend:
For ETH, generate a trading strategy based on current market data.
→ Fetch ETH data, calculate TA, get sentiment, output strategy.
Analyze BTC with 50-day history, include sentiment, recommend swing trade.
→ Use longer history, focus on swing signals.
scripts/calculate_ta.py: Python script for TA indicator calculationsscripts/fetch_binance.py: Helper for Binance API calls
./skills/trading-strategies/SKILL.md