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Few shot example gen

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/few-shot-example-gen

Few-shot example generation and optimization for improved LLM performanceFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill few-shot-example-gen

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SKILL.md

1.5 KB, 216 tokens by cl100k_base, as published. Nobody here has run it

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

  1. Semantic Similarity: Select similar examples
  2. MMR Selection: Diverse example selection
  3. N-Gram Overlap: Lexical similarity
  4. Random Sampling: Baseline selection
  5. 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)

What ships with it: 1 file

536 B alongside SKILL.md

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