data-throughput-accelerator vs apply-aesthetic

data-throughput-accelerator and apply-aesthetic 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 (3 days ago). The table compares them side by side.

	data-throughput-accelerator	apply-aesthetic
Score	89 / 100	86 / 100
What it does	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.	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.
Publisher	Community: affaan-m	Community: plugin87
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	286,849	2,865
Last commit	20 Oct 2026	20 Oct 2026
Licence	MIT	MIT
Listed since	23 Oct 2026	22 Oct 2026
	Install data-throughput-accelerator	Install apply-aesthetic

Questions

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

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

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

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