Image Optimization Stinger

SkillMedia

Image optimization specialist for React/Next.js and HTML contexts: AVIF/WebP format selection (AVIF is the 2026 production default), responsive srcset/sizes calculus, blur placeholders (LQIP via Sharp, BlurHash-as-CSS-gradient, ThumbHash), next/image remote patterns and the Next.js 16 priority→preload shift, and CLI tooling (Sharp Node API, Squoosh CLI for one-offs). Use when the user says \\\\\\\"optimize my images\\\\\\\", \\\\\\\"convert to AVIF\\\\\\\", \\\\\\\"set up srcset\\\\\\\", \\\\\\\"add blur placeholders\\\\\\\", \\\\\\\"next/image remote patterns\\\\\\\", \\\\\\\"LCP image is slow\\\\\\\", \\\\\\\"fix layout shift from images\\\\\\\", \\\\\\\"AVIF vs WebP\\\\\\\", or when auditing a codebase for unoptimized image delivery. Do NOT use for SVG icon systems (icon-system-worker-bee), general Lighthouse audits beyond image-specific findings (lighthouse-pagespeed-worker-bee), CDN/caching architecture beyond image Cache-Control (devops-worker-bee), or CSS animation performance (ux-ui-svelte-worker-bee).

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Image Optimization Stinger skill

What this skill tells your AI

The instructions your AI receives, as published by legioncodeinc/vibe-coding-tools in src/skills/image-optimization-stinger/SKILL.md and read by ahel’s review.

The image-optimization-stinger encodes the complete 2026 image delivery playbook: format selection, responsive delivery, placeholder strategies, framework integration, and tooling. Its primary audience is React/Next.js developers shipping web products where images are a material fraction of page weight and LCP candidates.

The non-negotiables (detailed in guides/00-principles.md):

  1. AVIF first, WebP fallback: never JPEG as primary for new raster content.
  2. width + height always: missing dimensions cause CLS.
  3. LCP images get priority (Next.js <16) or preload (Next.js 16+) / fetchpriority="high" (native): never loading="lazy".
  4. sizes must match the CSS layout: the default 100vw is wrong for most components.
  5. Placeholders must be chosen deliberately: LQIP via Sharp is the default; BlurHash/ThumbHash for color-faithful scenarios.

When to use this skill

Trigger on:

  • "optimize my images" / "convert to AVIF" / "switch to AVIF"
  • "set up srcset and sizes" / "responsive images"
  • "add blur placeholders" / "BlurHash" / "LQIP" / "ThumbHash"
  • "next/image remote patterns" / "next/image config" / "Image component"
  • "my LCP image is slow" / "images causing layout shift" / "CLS from images"
  • "AVIF vs WebP" / "which image format should I use"
  • "audit our images" / "image optimization report"
  • "Squoosh" / "Sharp" / "ImageOptim" (in web context)

Do NOT trigger on:

  • SVG icon library selection → icon-system-worker-bee
  • Lighthouse score interpretation / CWV remediation beyond images → lighthouse-pagespeed-worker-bee
  • CDN cache TTL / Cache-Control strategy → devops-worker-bee
  • CI build pipelines beyond per-image squash → devops-worker-bee

Quick-reference decision table

ScenarioRecommendation
New raster content (photo, hero, product)AVIF primary, WebP fallback, <picture> or next/image
Transparency neededWebP (or PNG for lossless): AVIF supports alpha but WebP encodes faster
Simple logo / diagramSVG preferred; PNG fallback if SVG not available
LCP image above the foldpriority (Next.js <16) / preload (Next.js 16+) / fetchpriority="high" (HTML)
Image below the foldloading="lazy" (HTML) / default lazy in next/image
Placeholder: simplestLQIP via Sharp (16px WebP + CSS filter: blur)
Placeholder: color-faithful no-JSBlurHash as CSS gradient via @unpic/placeholder
Placeholder: alpha channel supportThumbHash
Next.js with Vercel hostingnext/image with formats: ['image/avif', 'image/webp'] in next.config
Teams on Cloudflare / Imgix / Fastly CDNEnable CDN-level format negotiation: no code changes needed

Guide map

Read guides in order for a full orientation. Jump directly to the relevant guide for targeted work.

  • guides/00-principles.md: The five non-negotiables and why they exist. Read first on every invocation.
  • guides/01-format-selection.md: AVIF vs WebP vs JPEG vs PNG vs SVG decision tree; 2026 browser support matrix; CDN-level negotiation.
  • guides/02-srcset-sizes.md: How to calculate srcset variant sets and correct sizes values; the 100vw fallacy; art direction with <picture>.
  • guides/03-placeholders.md: LQIP via Sharp, BlurHash-as-CSS-gradient, ThumbHash, solid-color from dominant palette. Tradeoff matrix.
  • guides/04-next-image.md: next/image API, remote patterns config, priority vs preload (Next.js 16+), custom loaders, fill vs responsive vs fixed.
  • guides/05-tooling.md: Sharp Node API (primary), Squoosh CLI (one-offs), ImageOptim (macOS lossless), and build pipeline integration.

Example map

  • examples/nextjs-avif-with-lqip.md: Happy path: Next.js <Image> with AVIF/WebP formats, correct sizes, LQIP blur placeholder, and LCP priority.
  • examples/html-picture-srcset-art-direction.md: Edge case: native <picture> + <source> for art-direction responsive images in a non-Next.js context.

Template

  • templates/image-audit-report.md: The report stub the Bee fills in per audit run. Sections: inventory, format breakdown, srcset/sizes audit, placeholder audit, LCP candidates, remediation checklist.

Research trail

Populated by scripture-historian on 2026-05-20 (normal depth, 6-month window, 32 source files).

  • research/research-summary.md: executive summary, 5 most influential sources, 5 open questions.
  • research/index.md: full manifest of all 32 source files.
  • research/external/: 32 source notes from official docs, practitioner blogs, GitHub READMEs, and specs.

Key sources: caniuse.com/avif (browser support), Mux blog (LQIP/BlurHash tradeoff), Next.js official docs (next/image API + Next.js 16 changes), web.dev/articles/optimize-lcp (LCP priority framing), krunkit.me (DPR-aware srcset algorithm).


Paired with: ../../agents/image-optimization-worker-bee.md Command Brief: ai-tools/command-briefs/image-optimization-command-brief.md

Signals

GitHub stars
83
Forks
37
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
image-optimization-stinger
Source
github.com/legioncodeinc/vibe-coding-tools