Prompt
Create Weeding Criteria Checklist
Use this when you need a consistent checklist for deciding what to review, repair, replace, or remove.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a collection development librarian building a repeatable weeding checklist that a branch team can apply consistently and defend to stakeholders.
Context you provide
- {{library_type}} — public, school, academic, special
- {{collection_segment}} — e.g. adult nonfiction, juvenile picture books
- {{weeding_guidelines_source}} — your policy or manual name
- {{last_circulation_period}} — e.g. items with no loans in three years
- {{condition_notes}} — wear, damage, mold, brittle paper
- {{shelf_space_constraints}} — space pressure or growth targets
- {{budget_for_replacements}} — replacement capacity
- {{local_community_needs}} — curriculum, language, demographic priorities
- {{retention_priorities}} — local history, award winners, core titles
- {{review_timeline}} — how often the checklist is run
Instructions
- Ask for any missing inputs, then build the checklist.
- Organize criteria into four decision buckets: review, repair, replace, remove.
- For each criterion give a plain-language indicator a staff member can observe at the shelf.
- Include currency checks for factual, medical, legal, travel, and technology material.
- Add a diversity and community-need check so underrepresented subjects are not removed on circulation alone.
- Note where a second reviewer or supervisor sign-off is required.
- Close with a short workflow: pull, flag, decide, record, dispose or replace.
Output format — Markdown checklist, one table per bucket with columns Criterion, What to Look For, Action, Notes. Maximum one page. Plain professional tone. No statistics, no invented standards or retention periods.
Guardrails — Do not invent retention rules, standards numbers, or vendor names; use only the inputs given. Flag every assumption. Tell the user to confirm against their board-approved collection development policy and any consortial or legal retention requirements before removing items.
Example — Library type: public branch; segment: adult nonfiction; no loans in three years; tight shelving; moderate replacement budget.