Individual skill
nextjs-bundle-optimizer
Next.js 16 bundle-size and build-time optimization — runs a data-driven iteration loop: measure baseline → analyze top offenders → apply ONE recipe → re-measure → verify nothing broke (build + types + tests + no regression) → commit or revert. Built for Next.js 16 with Turbopack default, and falls back to webpack-mode tooling when the project hasn't migrated yet. Triggers on phrases like "First Load JS is huge", "bundle size", "build takes too long", "page is slow to TTI", "reduce bundle", "tree-shake", or when the user shares output from `next experimental-analyze` / `@next/bundle-analyzer` — even if the user doesn't say "optimize" explicitly.
skills/.experimental/nextjs-bundle-optimizer/SKILL.md
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- Last checked
- Nov 5, 2026
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- Repository stars (not skill ratings)
- 221
- Repository last updated
- Aug 15, 2026
- License
- MIT
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- data Derived category
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- engineering-web Derived category
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SKILL.mdcore · 6,282 bytesSKILL.mdcore · 6,282 bytesSKILL.mdcore · 6,282 bytesSKILL.mdcore · 6,282 bytesconfig.jsonasset · 1,157 bytesgotchas.mddoc · 2,743 bytesmetadata.jsonasset · 1,061 bytesreferences/optimizations.mddoc · 13,193 bytesreferences/workflow.mddoc · 9,707 bytesscripts/_common.shruns · 2,279 bytesscripts/analyze.shruns · 5,829 bytesscripts/baseline.shruns · 4,742 bytesscripts/compare.shruns · 3,342 bytesscripts/diagnose.shruns · 4,784 bytesscripts/measure.shruns · 1,915 bytesscripts/verify.shruns · 2,436 bytes
Read excerpt
# Next.js Bundle & Build-Time Optimizer
Data-driven optimization loop for Next.js 16 applications. The skill orchestrates `next experimental-analyze`, builds, type checks, and tests to make verifiable improvements one change at a time.
## When to Apply
Use this skill when:
- The user wants to reduce bundle size / First Load JS / route bundles in a Next.js 16 app.
- Production builds are slow and the user wants to diagnose and fix the bottleneck.
- The user shares analyzer output, a screenshot of the treemap, or asks "why is `<X>` so big?"
- A new dependency was added and bundles grew — they want to understand why and unwind it.
- The user wants to set a performance budget and enforce it iteratively.
## Why iterative (not "apply all optimizations at once")