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From prompt-architecture
Guides versioning prompts like code with Git, testing changes via regression/A/B tests, and managing deployments/rollbacks. Useful for prompt engineering workflows to track iterations and avoid regressions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/prompt-architecture:prompt-versioningThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Prompts are code. They should be versioned, tested, reviewed, and deployed with the same rigor as software. Treating prompts as casual text that anyone can edit leads to quality regressions, inconsistent behavior, and debugging nightmares.
Prompts are code. They should be versioned, tested, reviewed, and deployed with the same rigor as software. Treating prompts as casual text that anyone can edit leads to quality regressions, inconsistent behavior, and debugging nightmares.
Before deploying a prompt change:
npx claudepluginhub owl-listener/ai-design-skills --plugin prompt-architectureDesigns, tests, compares, versions, and validates prompts or LLM behavior using measurable criteria and datasets. Useful when evaluating prompt quality, edge cases, and deployment readiness.
Authors, imports, labels, promotes, lists, edits, deletes, and duplicates prompts in Arize Prompt Hub via the `ax prompts` CLI. Use when managing prompt templates with `{variable}` placeholders or production/staging labels.