Three-example few-shot prompt for sentiment classification. Handles positive / negative / neutral with reasoning. Template you can extend for domain-specific classes.
npx mdskills install mdskills/sentiment-analysis-few-shotRelated
Instruction + example input/output pairs
@mdskills? Sign in with GitHub to claim this listing.Classify the sentiment of the input as positive, negative, or neutral. Include one-line reasoning.
Example 1: Input: "This is the best product I've ever bought." Output: {"sentiment": "positive", "reasoning": "Superlative praise, no qualifiers."}
Example 2: Input: "It arrived broken and support hasn't replied in five days." Output: {"sentiment": "negative", "reasoning": "Concrete failure plus unresolved escalation."}
Example 3: Input: "The package arrived on Tuesday." Output: {"sentiment": "neutral", "reasoning": "Factual statement, no evaluative content."}
Now classify: Input: "{input}" Output:
Install via CLI
npx mdskills install mdskills/sentiment-analysis-few-shotSentiment Analysis (few-shot) is a free, open-source AI agent skill. Three-example few-shot prompt for sentiment classification. Handles positive / negative / neutral with reasoning. Template you can extend for domain-specific classes.
Install Sentiment Analysis (few-shot) with a single command:
npx mdskills install mdskills/sentiment-analysis-few-shotThis downloads the skill files into your project and your AI agent picks them up automatically.
Sentiment Analysis (few-shot) works with Claude Code, Openai, Gemini. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.