analyzing-text-sentiment

Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. use this skill when a user requests sentiment analysis, opinion mining, or emoti... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill analyzing-text-sentiment

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Review — 21%

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Learn more

Evaluation — 100%

Agent success when using this skill

Validation — 9 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

Product Review Sentiment Analysis

Per-item sentiment classification with scores

Criteria

Without context

With context

Three-way classification

100%

Per-item scores

100%

Per-item processing

100%

All 15 reviews covered

100%

Distribution in summary

100%

Neutral category used

100%

Negative category used

100%

Positive category used

100%

Score scale defined

20%

100%

Structured JSON output

100%

Without context: $0.2051 · 48s · 10 turns · 11 in / 3,340 out tokens

With context: $0.4901 · 1m 38s · 23 turns · 1,983 in / 5,516 out tokens

100%

Social Media Brand Sentiment Tracker

Context-aware social media sentiment analysis

Criteria

Without context

With context

Three-way classification

100%

Per-post scores

100%

All 12 posts analyzed

100%

Sarcasm detection flagged

100%

Sarcasm-aware classification

100%

Social media approach noted

100%

Sarcasm handling explained

100%

Neutral category used

100%

Structured JSON output

100%

Score scale specified

100%

Without context: $0.2427 · 1m 22s · 11 turns · 12 in / 4,508 out tokens

With context: $0.5358 · 2m 11s · 24 turns · 56 in / 7,322 out tokens

100%

Employee Engagement Survey Sentiment Report

Structured sentiment report with methodology and key drivers

Criteria

Without context

With context

Technique specified

100%

Technique justification

100%

Scoring scale defined

100%

Thresholds defined

100%

Three-way classification

100%

Per-response scores

100%

Sentiment distribution

100%

Positive key drivers

100%

Negative key drivers

100%

Limitations section

100%

Recommendations section

100%

All 20 responses covered

100%

Without context: $0.3105 · 1m 43s · 10 turns · 11 in / 6,594 out tokens

With context: $0.6912 · 2m 37s · 29 turns · 1,739 in / 8,821 out tokens

Evaluated: about 7 hours ago
Agent: Claude Code

Table of Contents

Product Review Sentiment Analysis Social Media Brand Sentiment Tracker Employee Engagement Survey Sentiment Report

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