performance
performance is a Web performance & accessibility skill for AI agents, published by nuclia in the frontend repository on GitHub. Skillspace rates performance D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Performance patterns for the Nuclia frontend monorepo — covering OnPush change detection with signals, computed() memoisation, track in @for loops, lazy routing, shareReplay(1) placement, debounce/auditTime conventions, CDK virtual scroll, bundle budgets, and the known shareReplay() anti-pattern. Activate this skill when reviewing a component for performance, adding @for loops, choosing between signal() and computed(), setting up lazy routes, writing service-level streams, or when the user asks about bundle size, change detection, or rendering performance. Also use when a code review finds markForCheck(), shareReplay() without a buffer argument, $index in track expressions, or eager route loading — these are all actionable problems this skill covers.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 56
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
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