linear_datamodel_fit vs fp-types-ref

linear_datamodel_fit and fp-types-ref are both productivity skills. fp-types-ref scores higher (89 vs 56 out of 100). fp-types-ref has more GitHub stars (48k), and fp-types-ref was updated more recently (today). The table compares them side by side.

	linear_datamodel_fit	fp-types-ref
Score	56 / 100	89 / 100
What it does	Fit target-specific linear datamodel surrogates from subset membership vectors to observed target outcomes.	Quick reference for fp-ts types. Use when user asks which type to use, needs Option/Either/Task decision help, or wants fp-ts imports.
Publisher	Community: VectorSpaceLab	Community: sickn33
Grades	Maintenance B, Licence A, Quality B	Maintenance A, Licence A, Quality A
npm downloads a week	Not on npm	Not on npm
Runs	Skill	Skill
Works with	Claude Code, Claude apps	Claude Code, Claude apps
GitHub stars	339	48,364
Last commit	3 Sept 2026	23 Oct 2026
Licence	Apache-2.0	MIT
Listed since	19 Oct 2026	23 Oct 2026
	Install linear_datamodel_fit	Install fp-types-ref

Questions

Is linear_datamodel_fit or fp-types-ref more popular?

fp-types-ref has more GitHub stars: 48,364.

Can I use linear_datamodel_fit and fp-types-ref together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.