social-sentiment-analyzer
Analyze brand or topic sentiment across Twitter, Reddit, and Instagram using Xpoz. Classifies posts as positive/neutral/negative, extracts recurring themes, and generates a sentiment report. Use when asked for "sentiment analysis", "what are people saying about X", "brand sentiment", or "social media opinion on X".
npx skills add majiayu000/claude-skill-registry --skill social-sentiment-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Social Sentiment Analyzer ## Overview Analyze public sentiment for any brand, product, or topic across Twitter/X, Reddit, and Instagram. Fetches real posts, classifies sentiment, extracts themes, and produces a structured report. ## When to Use Activate when the user asks: - "What's the sentiment around [TOPIC]?" - "Analyze sentiment for [BRAND] on Twitter" - "What are people saying about [PRODUCT] on social media?" - "Is the reaction to [EVENT] positive or negative?" - "Social media opinion on [TOPIC]" ## Setup & Authentication Before fetching data, ensure Xpoz access is configured. Follow these checks in order. ### Check 1: Already authenticated? **If you have MCP tools**, try calling any Xpoz tool (e.g., `checkAccessKeyStatus`). If it works → skip to Step 1. **If you have the SDK**, try: ```python from xpoz import XpozClient client = XpozClient() # reads XPOZ_API_KEY env var ``` If this succeeds without error → skip to Step 1. If neither works, you need to authenticate. Choose the path that fits your environment: --- ### Path A: MCP via mcporter (OpenClaw agents) If `mcporter` is available: ```bash mcporter call xpoz.checkAccessKeyStatus ``` If `hasAccessKey: true` → ready. If
- Overview
- When to Use
- Setup & Authentication
- Check 1: Already authenticated?
- Path A: MCP via mcporter (OpenClaw agents)
- Path B: MCP via Claude Code config
- Path C: SDK (Python or TypeScript)
- Auth Errors
- Step-by-Step Instructions
- Step 1: Parse the Request
- Step 2: Fetch Posts
- Step 3: Classify Sentiment
- Step 4: Extract Themes
- Step 5: Generate Report
mcporter call xpoz.checkAccessKeyStatus mcporter config add xpoz https://mcp.xpoz.ai/mcp --auth oauth pip install xpoz npm install @xpoz/xpoz export XPOZ_API_KEY=THE_KEY_FROM_USER
What does the social-sentiment-analyzer skill do?
Analyze brand or topic sentiment across Twitter, Reddit, and Instagram using Xpoz. Classifies posts as positive/neutral/negative, extracts recurring themes, and generates a sentiment report. Use when asked for "sentiment analysis", "what are people saying about X", "brand sentiment", or "social media opinion on X".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill social-sentiment-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.