From prompt-architecture
Specifies constraints for AI prompts on output format, length, tone, content boundaries, and quality to ensure predictable, consistent responses.
npx claudepluginhub owl-listener/ai-design-skills --plugin prompt-architectureThis skill uses the workspace's default tool permissions.
Constraints are the rules that shape AI output — what format to use, how long to be, what to include, what to exclude. Well-specified constraints produce predictable, useful outputs. Vague constraints produce inconsistent results.
Transforms vague prompts into structured ones with roles, task decomposition, output formats, constraints, and quality checks. Useful for inconsistent AI outputs, multi-step reasoning, or safety guardrails.
Provides universal prompt engineering techniques like XML structuring, output constraints, scope controls, and ambiguity handling to craft, optimize, or review LLM prompts.
Guides crafting effective LLM prompts using techniques like chain-of-thought, XML tags, role prompting, multishot examples, and self-verification. Use for improving output quality or debugging responses.
Share bugs, ideas, or general feedback.
Constraints are the rules that shape AI output — what format to use, how long to be, what to include, what to exclude. Well-specified constraints produce predictable, useful outputs. Vague constraints produce inconsistent results.
Format constraints:
Constraints interact and can conflict: