few-shot-example-gen

通过少量示例生成并优化提示，提升 LLM 性能。

SKILL.md

--- frontmatter

name: few-shot-example-gen
description: Few-shot example generation and optimization for improved LLM performance
allowed-tools:
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Few-Shot Example Generation Skill

Capabilities

•Generate diverse few-shot examples
•Implement example selection strategies
•Optimize example ordering for performance
•Create dynamic example retrieval
•Design example formats for specific tasks
•Implement example quality validation

Target Processes

•prompt-engineering-workflow
•intent-classification-system

Implementation Details

Example Selection Strategies

•Semantic Similarity: Select similar examples
•MMR Selection: Diverse example selection
•N-Gram Overlap: Lexical similarity
•Random Sampling: Baseline selection
•Length-Based: Control example sizes

Configuration Options

•Number of examples
•Selection algorithm
•Example format (input/output structure)
•Max token limits
•Example store backend

Best Practices

•Cover edge cases in examples
•Balance example diversity
•Optimize example ordering
•Test with varied inputs
•Monitor token usage

Dependencies

•langchain
•sentence-transformers (for semantic selection)