Few shot example gen

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

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

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

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What its author says it does

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Few-shot example generation and optimization for improved LLM performance

SKILL.md

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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)