sentiment-analyzer
Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extraction.
Best use case
sentiment-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extraction.
Teams using sentiment-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/betasentiment/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sentiment-analyzer Compares
| Feature / Agent | sentiment-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extraction.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Sentiment Analyzer AI-powered sentiment analysis for financial text, social media, and news. ## Usage ```bash python3 analyze.py --text "Bitcoin to the moon! Best investment ever!" python3 analyze.py --file headlines.csv ``` ## Output Example ``` 🔍 SENTIMENT ANALYSIS ━━━━━━━━━━━━━━━━━━━━━ Text: "Bitcoin to the moon!" Score: 0.82 / 1.0 Verdict: BULLISH 🐂 Confidence: 91% Key phrases: - "to the moon" → extremely bullish signal - "best investment" → high conviction positive ```
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