veloxdb-scalable-performance
veloxdb-scalable-performance is a Frontend state & data fetching skill for AI agents, published by veloxbase in the veloxdb repository on GitHub. Skillspace rates veloxdb-scalable-performance D (56/100) and it passed the safety scan; the rating is based on static analysis only.
Guides scalability and performance work for VeloxDB's Tauri + Rust PostgreSQL backend and React + TanStack frontend. Covers pnpm-only tooling, src/ file layout (features, data, components/ui, lib), connection pooling, bounded query results, IPC payload size, TanStack Query defaults, virtualization, memo patterns, minimal useEffect usage, and shadcn-style UI consistency. Use when the user asks about performance, memory, latency, large result sets, slow queries, pooling, caching, N+1 patterns, scaling the UI, effects/hooks, repo structure, package manager, or component styling aligned with the design system.
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 497
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.