assimilate-popular-wor…
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@a5c-aiInstall SkillAutomation
Skill
/prompt-template-design
Structured prompt template creation with variables, formatting, and version control
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill prompt-template-design --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill prompt-template-design -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill prompt-template-design -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill prompt-template-design -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill prompt-template-design -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill prompt-template-design -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill prompt-template-design -a windsurf -y
SKILL.md
prompt-template-design.SKILL.mdname: prompt-template-design
description: Structured prompt template creation with variables, formatting, and version control
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
graph:
domains: [domain:software-engineering]
specializations: [specialization:ai-agents-conversational]
skillAreas: [skill-area:prompt-engineering, skill-area:prompt-instruction-tuning-agents]
roles: [role:ml-engineer, role:backend-engineer]
workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
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
Read more
name: prompt-template-design description: Structured prompt template creation with variables, formatting, and version control allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:prompt-engineering, skill-area:prompt-instruction-tuning-agents] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
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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Questions about prompt-template-design.
- Which coding agents can use prompt-template-design?
- prompt-template-design installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.