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What should a prompt library include to stay useful?

A good library stores prompts with purpose, owner, version, examples, acceptance criteria, model fit notes, and failure modes. Add tags for task type and industry. Provide short, copyable templates and longer reference versions. Include eval results and last-reviewed dates so teams trust what they reuse. Keep deprecation notices visible to avoid stale patterns spreading.

In practice

Include a ‘when not to use’ note on every template to reduce misuse.

Where to start

  1. [01]Adopt a standard front-matter header for each prompt.
  2. [02]Tag by task (summarize, extract, reason) and domain.
  3. [03]Attach 3 real examples with expected outputs.
  4. [04]Schedule monthly curation and cleanup.
prompt library structureprompt repository AIprompt templates governance

Related questions

// 001How do I onboard a team to prompt engineering?// 002How do I manage prompt changes without breaking downstream systems?// 003How do I write effective prompt change logs?// 004How can teams collaborate effectively on prompt engineering?

Build it properly.

Promptise Foundry treats prompts as software — typed blocks, versioning, guards and an inspector that shows you every assembly decision.

Prompt engineering in FoundryRead the guides
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Open source · Python