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Next.js 16+ and Turbopack: incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | nextjs-turbopack |
| description | Next.js 16+ and Turbopack: incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack. |
Next.js 16+ uses Turbopack by default for local development: an incremental bundler written in Rust that significantly speeds up dev startup and hot updates.
--webpack (or --no-turbopack depending on your Next.js version; check the docs for your release).next build) may use Turbopack or webpack depending on Next.js version; check the official Next.js docs for your version.Use when: developing or debugging Next.js 16+ apps, diagnosing slow dev startup or HMR, or optimizing production bundles.
next dev runs with Turbopack unless disabled..next; no extra config needed for basic use.next dev
next build
next start
Run next dev for local development with Turbopack. Use the Bundle Analyzer (see Next.js docs) to optimize code-splitting and trim large dependencies. Prefer App Router and server components where possible.
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
Describes how skills and agents from the EGC library are surfaced to a target harness, and how to inspect or install the catalog. Use when the user asks which skills/agents EGC ships, or wants to discover or install a curated profile.
Use when auditing Gemini skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
Autonomous loop that learns while it runs: recalls stored lessons before each iteration, saves new lessons on failures and wins, and reinforces known lessons instead of repeating mistakes. Orchestrates continuous-agent-loop patterns with the egc-memory lesson tools.
Automatically extract reusable patterns from Gemini Code sessions and save them as learned skills for future use.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.