Pulls recent articles from crypto RSS feeds, runs sentiment analysis on each one, and spits out a score from -1 to +1 with an explanation of what's driving the market mood. It classifies news as positive (partnerships, ETF approvals, rallies), negative (hacks, crashes, regulatory crackdowns), or neutral based on keywords and context. The workflow is straightforward: select feeds, fetch articles, analyze sentiment, average the scores, and generate evidence-based reasoning. Useful when you need a quick read on crypto market sentiment for trading calls or research without manually skimming dozens of headlines. The Python script automates the whole process, though sentiment accuracy will depend heavily on keyword matching rather than deep NLP.
npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment