prompt-template-design
Structured prompt template creation with variables, formatting, and version control
npx skills add a5c-ai/babysitter --skill prompt-template-design --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Capabilities
- Target Processes
- Implementation Details
- Template Patterns
- Configuration Options
- Best Practices
- Dependencies
What does the prompt-template-design skill do?
Structured prompt template creation with variables, formatting, and version control
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill prompt-template-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.