What problem does it solve? Understanding how people feel about a brand, product, or topic on social media requires manually reading hundreds of posts across multiple platforms. This Skill automates that work by fetching real posts from Twitter/X, Reddit, and Instagram via Xpoz, classifying each post's sentiment, and producing a structured report with themes and notable posts. ## Core Features & Use Cases - Multi-platform sentiment classification: Fetches posts from Twitter, Reddit, and Instagram and classifies each into five levels from positive to negative, with sarcasm and engagement-weighting guidance. - Theme extraction and reporting: Identifies 5-8 recurring themes with representative quotes and generates a structured report including an overall sentiment score, platform breakdown, and executive summary. - Flexible access: Works through the Xpoz MCP server, the Python SDK, or the TypeScript SDK, with a free access key supporting up to 75K results. - Use Case: Ask "What's the sentiment around Tesla this week?" and receive a report quantifying positive, neutral, and negative reactions across Twitter and Reddit, with the top themes driving the conversation. ## Quick Start Ask your agent to analyze the sentiment around your brand or topic on Twitter and Reddit for the past week, and it will connect to Xpoz, fetch the posts, and return a full sentiment report.
