react-optimise

Application-level React performance optimization covering React Compiler mastery, bundle optimization, rendering performance, data fetching, Core Web Vitals, state subscriptions, profiling, and memory management. Use when optimizing React app performance, analyzing bundle size, improving Core Web Vitals, or profiling render bottlenecks. Complements the react skill (API-level patterns) with holistic performance strategies. Does NOT cover React 19 API usage (see react skill) or Next.js-specific features (see nextjs-16-app-router skill).

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Repository: pproenca/dot-skills
Last source activity: May 27, 2026 at 09:50
Detected SKILL.md language: English
Stars: 194
Forks: 17

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drizzle-nextjs-postgres

Drizzle ORM against PostgreSQL inside a Next.js App Router app. Covers client construction (globalThis singleton across HMR, serverless pool sizing, `prepare:false` behind PgBouncer/Supavisor, driver choice when you need interactive transactions, `server-only`), reads in Server Components under Next.js 16 Cache Components (`use cache` superseding `unstable_cache` and the `revalidate`/`dynamic` segment configs, Suspense boundaries, React `cache()` dedupe), Server Actions (authorization inside the action, `updateTag` vs `revalidateTag`, `after()`), Postgres schema types (timestamptz, identity vs serial, jsonb, numeric-as-string, bigint modes), drizzle-kit migrations (generate vs push, CONCURRENTLY outside the migrator, NOT VALID constraints, rename prompts), transactions and pooled connections, and Postgres query traps (keyset pagination, count cost, driver-dependent `db.execute()` shape, NOT IN nulls, prepared statements). Use when writing or reviewing Drizzle + Postgres code in Next.js.

2026-07-24

relational-data-modeling

Corrects the wrong defaults a model has when designing a relational schema — the DDL decisions an experienced engineer makes differently. Use when creating or reviewing tables, migrations, ER models, or ORM schema definitions. Covers identity and keys (surrogate vs natural, identity vs serial, uuidv7, composite keys that make cross-tenant references impossible), relationships (polymorphic foreign keys the database cannot enforce, referential actions, unindexed FK columns, disjoint subtypes), invariants the engine can prove instead of application code (EXCLUDE, partial unique indexes, CHECK limits, deferrable cycles, NOT VALID), types (timestamptz, exact money, range types, enum vs lookup table), derived and encoded data (generated columns, JSONB as an escape hatch), and time (events vs in-place updates, soft-delete flags that silently disable constraints, temporal keys). NOT for query tuning, index selection for read paths, or connection pooling.

2026-07-23

relational-database-design

Distills a logical relational-database design methodology into rules an agent applies while designing or reviewing a schema. Covers the design sequence (mission → tables → fields → keys → relationships → business rules → views → integrity review), one-subject-per-table decomposition, atomic single-valued fields, candidate/primary/foreign keys, relationship types with deletion rules and participation, the four levels of data integrity, database-vs-application business rules, validation tables, views for derived data, and the flat-file / spreadsheet / RDBMS-driven antipatterns to avoid. The structure is logical and RDBMS-agnostic, and normalized by construction. Use when designing a new relational schema, reviewing or refactoring an existing one, resolving redundant or repeating data, choosing keys, modeling relationships, or deciding where a constraint belongs.

2026-07-23

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name

react-optimise

description

React Optimise Best Practices

Application-level performance optimization guide for React applications. Contains 43 rules across 8 categories, prioritized by impact from critical (React Compiler, bundle optimization) to incremental (memory management).

When to Apply

Optimizing React application performance or bundle size
Adopting or troubleshooting React Compiler v1.0
Splitting bundles and configuring code splitting
Improving Core Web Vitals (INP, LCP, CLS)
Profiling render performance and identifying bottlenecks
Fixing memory leaks in long-lived single-page applications
Optimizing data fetching patterns and eliminating waterfalls

Rule Categories

Category	Impact	Rules	Key Topics
React Compiler Mastery	CRITICAL	6	Compiler-friendly code, bailout detection, incremental adoption
Bundle & Loading	CRITICAL	6	Route splitting, barrel elimination, dynamic imports, prefetching
Rendering Optimization	HIGH	6	Virtualization, children pattern, debouncing, CSS containment
Data Fetching Performance

react-optimise

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React Optimise Best Practices

When to Apply

Rule Categories

React Optimise Best Practices

When to Apply

Rule Categories

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Related Skills

react-optimise

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More from this repository

More from this repository

React Optimise Best Practices

When to Apply

Rule Categories

React Optimise Best Practices

When to Apply

Rule Categories

Quick Reference

Table of Contents

References

Related Skills