few-shot-example-gen
// Few-shot example generation and optimization for improved LLM performance
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namefew-shot-example-gen
descriptionFew-shot example generation and optimization for improved LLM performance
allowed-toolsRead,Write,Edit,Bash,Glob,Grep
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)