alphamoemoe/foci

Overview

This skill generates a comprehensive sentiment analysis report for a single stock ticker. It synthesizes aggregated sentiment, detailed viewpoints, blogger conviction and positions, and highlighted risk factors into a structured, fair, and time-aware summary.

How this skill works

The skill calls a sentiment service to produce an overall score and bull/bear breakdown, then searches for detailed viewpoints and representative quotes. It retrieves blogger profiles and positions to measure conviction and weight arguments. Finally, it compiles a clear report with sentiment metrics, core bull and bear arguments, notable bloggers, risk items, and a neutral summary.

When to use it

• You want a deep, balanced view of one ticker (e.g., NVDA, TSLA, AAPL).
• Preparing for an earnings call or event and need market sentiment context.
• Validating community conviction and who is influencing opinion.
• Investigating why sentiment shifted recently or to find recurring risk themes.
• Gathering representative quotes and citations for research or reporting.

Best practices

• Provide the exact ticker symbol to ensure accurate retrieval.
• Request a recency cutoff if you need only the latest viewpoints (e.g., last 30 days).
• Use the report as context and not as buy/sell advice—this skill avoids recommendations.
• Look at blogger positions to weigh arguments by conviction, not just volume.
• Check the cited quotes and dates to verify timeliness and relevance.

Example use cases

• Analyze NVDA before writing an article about semiconductor sentiment.
• Compare recent TSLA narrative drivers after a product announcement.
• Summarize AAPL community consensus ahead of an investor meeting.
• Identify which influencers are heavily positioned in a small-cap stock.
• Extract representative quotes and risk points for a research brief.