prompt-template-design

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

509 stars

Best use case

prompt-template-design is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using prompt-template-design should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/prompt-template-design/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/ai-agents-conversational/skills/prompt-template-design/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/prompt-template-design/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How prompt-template-design Compares

Feature / Agent	prompt-template-design	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

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