From prompt-architecture
Designs reusable, parameterized prompt templates for consistent LLM outputs. Covers anatomy, variables, patterns, composition, quality criteria, and artefacts.
npx claudepluginhub owl-listener/ai-design-skills --plugin prompt-architectureThis skill uses the workspace's default tool permissions.
A prompt template is a reusable prompt structure with variable slots that get filled at runtime. Templates create consistency across similar tasks and make prompt management scalable.
Writes, refactors, and evaluates LLM prompts, generating optimized templates, structured output schemas, evaluation rubrics, and test suites for LLM applications.
Provides workflows to write, debug, and optimize LLM prompts using few-shot examples, chain-of-thought structuring, system prompts, and templates. Activates for prompt improvement requests.
Designs reusable prompts for text, image, and video focusing on clarity, control, cost, and reproducibility. Use when prompt quality is central to app features or workflows.
Share bugs, ideas, or general feedback.
A prompt template is a reusable prompt structure with variable slots that get filled at runtime. Templates create consistency across similar tasks and make prompt management scalable.
A template has:
Each variable should be:
{user_query} not {input1}Complex prompts can be built from smaller templates: