Sentiment Analyzer
技能 已验证 活跃Analyze sentiment in text using ML models. Use when: analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses; categorizing support tickets
To understand the sentiment expressed in text data at scale, enabling better analysis of customer feedback, brand mentions, and campaign responses.
功能
- Analyze sentiment in single text inputs
- Perform batch sentiment analysis on CSV files
- Generate HTML sentiment analysis reports
- Support for multiple sentiment analysis models (simple, VADER, transformer)
使用场景
- Analyzing customer reviews for product feedback
- Processing NPS survey responses to gauge satisfaction
- Monitoring brand sentiment across social media mentions
- Evaluating audience response to marketing campaigns
非目标
- Replacing statistical expertise or business decision-making
- Guaranteeing absolute prediction accuracy
- Accessing or processing user's private data without explicit input
安装
npx skills add guia-matthieu/clawfu-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Treat
100修剪臃肿的会话，附带处方。移除进度标记、陈旧读取、重复内容等。
Trader Regime
100Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Setup
100Use first for install/update routing — sends setup, doctor, or MCP requests to the correct OMC setup flow
Project Session Manager
100Worktree-first dev environment manager for issues, PRs, and features with optional tmux sessions
Mcp Setup
100Configure popular MCP servers for enhanced agent capabilities
Oh My Claudecode
100Process-first advisor routing for Claude, Codex, or Gemini via `omc ask`, with artifact capture and no raw CLI assembly