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claude-codedevelopment

Babysitter prompt-template-design

Structured prompt template creation with variables, formatting, and version control

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/prompt-template-design" ~/.claude/skills/a5c-ai-babysitter-prompt-template-design && rm -rf "$T"
manifest: library/specializations/ai-agents-conversational/skills/prompt-template-design/SKILL.md
tags
#prompt-engineering#template-design#variable-handling#version-control#langchain
source content

Prompt Template Design Skill

Capabilities

  • Create structured prompt templates with variables
  • Implement prompt formatting with different styles
  • Design system/user/assistant message templates
  • Handle dynamic context injection
  • Implement prompt versioning and management
  • Create reusable prompt components

Target Processes

  • prompt-engineering-workflow
  • system-prompt-guardrails

Implementation Details

Template Patterns

  1. LangChain PromptTemplate: Variable-based templates
  2. ChatPromptTemplate: Message-based templates
  3. FewShotPromptTemplate: With example selection
  4. PipelinePromptTemplate: Composed templates

Configuration Options

  • Variable names and defaults
  • Input validation rules
  • Output format specification
  • Partial variable handling
  • Template inheritance

Best Practices

  • Clear variable naming conventions
  • Structured output instructions
  • Version control for templates
  • Testing with edge cases
  • Documentation of template purpose

Dependencies

  • langchain-core