Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Shiven0504/claude-skills-collection --skill perf-optimizergit clone --depth 1 https://github.com/Shiven0504/claude-skills-collectionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shiven0504/claude-skills-collection/perf-optimizer)<a href="https://agentmods.dev/skills/shiven0504/claude-skills-collection/perf-optimizer"><img src="https://agentmods.dev/badge/skills/shiven0504/claude-skills-collection/perf-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shiven0504/claude-skills-collection/perf-optimizer"><img src="https://agentmods.dev/badge/skills/shiven0504/claude-skills-collection/perf-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.03091 |
| Opus 5.5 | $0.00045 | $0.01236 |
| Sonnet 5.5 | $0.00023 | $0.00618 |
| Haiku 4.5 | $0.00011 | $0.00309 |
Grade A, and why
perf-optimizer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(url, { next: { revalidate: 3600 } }) How it starts
The opening of the file, as written. The whole thing — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Performance Optimization
Help users diagnose and fix performance issues in Next.js/React applications with Tailwind CSS. Focus on high-impact changes rather than micro-optimizations.
Core Web Vitals
Google's Core Web Vitals are the three metrics that matter most for real-world user experience:
| Metric | What it measures | Good | Needs work | Poor |
|---|---|---|---|---|
| LCP (Largest Contentful Paint) | Loading — how fast the main content appears | < 2.5s | 2.5–4s | > 4s |
| INP (Interaction to Next Paint) | Responsiveness — how fast the page responds to input | < 200ms | 200–500ms | > 500ms |
| CLS (Cumulative Layout Shift) | Visual stability — how much the page jumps around | < 0.1 | 0.1–0.25 | > 0.25 |
Measuring performance
# Next.js built-in analytics
# Add to next.config.js:
# experimental: { webVitals: true }
# Or use the web-vitals library
npm install web-vitals
// app/layout.tsx — report Web Vitals
export function reportWebVitals(metric: {
id: string
name: string
value: number
}) {
console.log(metric) // or send to analytics
}
Browser tools:
- Lighthouse (Chrome DevTools > Lighthouse tab) — synthetic lab test
- Chrome DevTools Performance tab — detailed trace of what's happening
- PageSpeed Insights — real-world field data from Chrome users
Image Optimization
Images are typically the largest elements on a page and the biggest opportunity for improvement. Next.js has a built-in Image component that handles optimization automatically.
Use next/image
import Image from 'next/image'
// Local images — automatically optimized at build time
import heroImage from '@/public/hero.jpg'
export function Hero() {
return (
<Image
src={heroImage}
alt="Product dashboard showing analytics"
priority // LCP image — preload it
placeholder="blur" // show blur while loading (local images only)
className="rounded-lg"
/>
)
}
// Remote images — optimized on-demand
export function Avatar({ user }: { user: User }) {
return (
<Image
src={user.avatarUrl}
alt={`${user.name}'s avatar`}
width={40}
height={40}
className="rounded-full"
/>
)
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 421 lines · 113 tokens per session scan A d8f463020be0
perf-optimizer is a skill published in the GitHub repository Shiven0504/claude-skills-collection (6 stars, last pushed 7mo ago), licensed MIT. It adds 113 tokens to every session and 3,091 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
perf-optimizer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| perf-optimizerShiven0504/claude-skills-collection | Skill | 6 | 7mo ago | MIT | A | 113 | Claude Code, Codex |
| build-ghost-appTryGhost/Ghost | Skill | 56k | yesterday | MIT | A | 44 | Claude Code, Codex |
| chakra-ui-builderchakra-ui/chakra-ui | Skill | 41k | yesterday | MIT | A | 214 | Claude Code, Codex |
| material-ui-tailwindmui/material-ui | Skill | 99k | yesterday | MIT | A | 67 | Claude Code, Codex |
| fuzzy-rankingTanStack/table | Skill | 29k | 4d ago | MIT | A | 62 | Claude Code, Codex |
| r3f-best-practiceszebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 74 | Claude Code, Codex |
| git-safetytamagui/tamagui | Skill | 14k | yesterday | MIT | A | 0 | Claude Code |