apply-aesthetic vs data-throughput-accelerator

apply-aesthetic and data-throughput-accelerator are both finance skills. data-throughput-accelerator scores higher (89 vs 86 out of 100). data-throughput-accelerator has more GitHub stars (287k), and data-throughput-accelerator was updated more recently (2 days ago). The table compares them side by side.

	apply-aesthetic	data-throughput-accelerator
Score	86 / 100	89 / 100
What it does	Apply a visual direction — an archetype (high-end agency, editorial minimal, brutalist, soft-SaaS, dark-tech) or one of 138 named design systems (apple, linear-app, stripe, vercel, notion, material, shadcn, spotify, tesla…) — by resolving it into the token system. Use when the user wants a specific look/vibe/brand feel, or asks to make a design feel premium/expensive/non-generic.	Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness.
Publisher	Community: plugin87	Community: affaan-m
Grades	Maintenance A, Licence A, Quality A	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	2,865	286,849
Last commit	20 Oct 2026	20 Oct 2026
Licence	MIT	MIT
Listed since	22 Oct 2026	23 Oct 2026
	Install apply-aesthetic	Install data-throughput-accelerator

Questions

Is apply-aesthetic or data-throughput-accelerator more popular?

data-throughput-accelerator has more GitHub stars: 286,849.

Can I use apply-aesthetic and data-throughput-accelerator together?

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