AgentSkillsCN

sentiment-analytics-v2

通过情境理解与关键词提示，以简洁的推理步骤分析文本情感。

SKILL.md
--- frontmatter
name: sentiment-analytics-v2
description: Analyze text sentiment through concise reasoning steps using contextual understanding and keyword cues.

Sentiment Analytics Skill

This skill determines whether text expresses a positive, negative, or neutral sentiment.
It reasons through keywords, context, and tone to reach a consistent judgment.

Reasoning Chain

Step 1 — Identify sentiment cues
Detect positive or negative keywords that signal emotional intent.

Step 2 — Interpret context and modifiers
Analyze how negations, contrasts, or nuanced phrasing modify the sentiment.

Step 3 — Conclude overall sentiment
Decide which emotional direction (positive, negative, or neutral) dominates, and summarize the reasoning briefly.

Keyword Reference

Positive

good, great, excellent, amazing, best, love, friendly, fast

Negative

bad, terrible, awful, worst, hate, poor, slow, disappointing

Example

Input:

“The service was friendly and fast, though the food could be better.”

Reasoning (following the chain):

  1. •Identify sentiment cues:
    Positive keywords: “friendly,” “fast.” Negative phrase: “could be better.”
  2. •Interpret context and modifiers:
    The contrast word “though” introduces a mild critique but does not outweigh earlier praise.
  3. •Conclude overall sentiment:
    Positive sentiment dominates — the reviewer seems satisfied overall.

Output:
positive — Expresses overall satisfaction despite a minor complaint.