Museum Collection Documentation Skill for ChatGPT: Catalog Accession, Provenance and Condition
Organize supplied accession, photography, and condition records into an object card. Preserve source, physical attributes, observations, and fields needing staff confirmation.
中文Install in ChatGPT
Requires a ChatGPT workspace where you can create skills. This is a text adaptation of the pinned GitHub source.
- Review the inputs and outputs in the pinned library/specializations/domains/social-sciences-humanities/arts-culture/skills/collection-documentation/SKILL.md.
- In ChatGPT, open Plugins, Skills, Create, and Create with editor.
- Write the skill rules using the workflow described here. Provide the institution's fields, object observations, registration details, and permitted photo identifiers.
- Save the skill and check the fictional example in a new chat.
Example task
Fictional ceramic cup A-17 is 8 cm high. P01 shows the front and P02 shows a crack on the handle. Provenance is unverified. Draft a collection card.What to check
Keep the accession number, measurement, and photo links. Record the crack as an observation with a date field, leaving provenance and attribution open.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can a photo without a scale establish crack length?
Record its visible location and photo ID. Use a scaled image or physical measurement to confirm length, and leave it unmeasured in the meantime.