alphamoemoe/foci
6 skills1.5k installs42 starsGitHub
Install
npx skills add https://github.com/alphamoemoe/fociSkills in this repo
1Stock Analysisstock-analysis from alphamoemoe/foci generates a comprehensive sentiment analysis report for one stock ticker such as NVDA, TSLA, or AAPL. Triggers include natural-language requests like analyze TSLA or slash commands /stock-analysis NVDA with a required ticker argument. The workflow first calls get_ticker_sentiment(ticker) for overall sentiment and breakdown data, then assembles a full report developers or quant-minded engineers can read before trading or product decisions. Reach for stock-analysis when you need structured sentiment synthesis for a single symbol instead of manual news scraping.985installs2Morning Briefingmorning-briefing structures an agent-driven start-of-day summary that pulls together what matters now: deadlines, carryover work, and intentional focus. It turns scattered inputs into a short actionable brief so operators begin with clarity instead of re-reading notes, inboxes, and trackers from scratch.222installs3Hot TopicsThe hot-topics skill from alphamoemoe/foci helps agents identify and rank emerging discussion themes so founders and marketers choose timely angles, keywords, and narratives before writing landing pages or campaigns.155installs4Sentiment ShiftA skill that identifies stocks where finance-blogger sentiment has changed significantly. It compares daily summaries across recent dates, finds tickers that flipped bullish or bearish, and searches viewpoints to explain the reasoning. It tracks both direction reversals and changes in mention volume.55installs5CompareA skill that compares sentiment and finance-blogger opinions between two stock tickers. It pulls sentiment and detailed viewpoints for each ticker, then builds a side-by-side comparison of bullish versus bearish arguments and coverage. It presents data objectively and avoids buy or sell recommendations.51installs6ConsensusA skill that finds stocks with consensus sentiment across multiple finance YouTubers. It reads a daily summary to identify hot tickers, then checks per-blogger sentiment to surface stocks where three or more bloggers agree. It groups results into consensus-bullish, consensus-bearish, and high-disagreement buckets.50installs