dtpr-datachain-structure

dtpr-datachain-structure is a Databases & SQL skill for AI agents, published by Helpful-Places in the dtpr repository on GitHub. Skillspace rates dtpr-datachain-structure D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Critique or propose changes to the DTPR (Digital Trust for Places and Routines) datachain-type itself — which categories exist, which are required, the `manifest.locales` allow-list, and whether the whole shape captures a new system class. Use whenever a user wants to iterate on the meta-structure of a datachain-type rather than on one category's contents or one element. Triggers on phrases like "critique the taxonomy", "brainstorm DTPR structure", "how should DTPR handle this system shape", "should DTPR add a category", "does the datachain-type miss X", "restructure DTPR", "what categories is DTPR missing", "add a locale to the schema", "drop a locale", or any request to reshape the category set, the locale allow-list, or the datachain-type's requirements. Produces a Markdown proposal with Scenario / Gaps / Proposed changes + inline Comprehension check + `schema:new` handoff. See also — `dtpr-element-design`, `dtpr-category-audit`, `dtpr-describe-system`, `dtpr-comprehension-audit`,…

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

25

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