Results for “regex”

Control LLM output with regex and grammars to guarantee valid JSON, XML, or code generation, enforce structured formats, and build multi-step workflows using Microsoft Research's Guidance framework.

Apply modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable applications.

Optimizes React and Next.js performance with 69 prioritized rules covering waterfalls, bundle size, server-side rendering, and re-rendering patterns.

Produce the weekly regulatory digest — a prioritized rollup of new rules, open comment deadlines, and compliance gaps across every tracked matter.

Defines naming conventions for Apex classes, methods, variables, constants, custom objects, triggers, and test classes.

Optimize React and Next.js applications with 70 performance rules across 8 categories, prioritized by impact for automated refactoring and code generation.

Provides React composition patterns to avoid boolean prop proliferation, build flexible component libraries, and design reusable APIs, including React 19 changes.

Migrate React string refs (ref="name" + this.refs.name) to React.createRef() in class components for React 18.3.1 and 19 compatibility.

Build performant React Native and Expo mobile apps with best practices for list performance, animations, navigation, UI patterns, state management, and monorepo configuration.

Redige recurso especial (CPC 1.029 + CF 105 III) e recurso extraordinario (CF 102 III), com prequestionamento obrigatorio, repercussao geral no RE (1.035), regime de repetitivos (1.036-1.041) e a regra NOVA de feriado local (Lei 14.939/2024 + STJ AREsp 2.638.376 — nao e mais intempestividade automatica). Use quando o operador disser REsp, recurso especial, RE, recurso extraordinario, repercussao geral, repetitivo, prequestionamento, levar pro STJ/STF.

Organizes 70+ React and Next.js performance optimization rules across 8 priority categories for use when writing, reviewing, or refactoring code.

Provides guidelines and best practices for aggregates and aggregate roots, referencing detailed documentation.

Composition Patterns

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

Builds React 18+ components, implements custom hooks, debugs rendering issues, migrates class components to functional, and manages state with Context, Redux, or Zustand. Covers React 19 Server Components, Suspense boundaries, useActionState forms, and performance optimization.

Redis in-memory data store. Covers data structures, caching, and pub/sub. Use for caching and real-time features. USE WHEN: user mentions "redis", "caching", "session storage", "rate limiting", "pub/sub", "sorted sets", "in-memory database", "cache invalidation" DO NOT USE FOR: relational data - use `postgresql` or `mysql` instead, document storage - use `mongodb` instead, full-text search - use `elasticsearch` instead

Address PR review comments by fetching, evaluating, fixing, replying, pushing, and re-requesting review.

Imported skill _template from vercel

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

Remix patterns including loaders, actions, nested routing, progressive enhancement, and deployment strategies.

Build reactive backends with Convex: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Create and manage Hookify rules that define patterns to watch for and messages to display when those patterns match.

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph).

Provides comprehensive security patterns for Perl applications covering taint mode, input validation, safe file operations, SQL injection prevention, and web security.

Write correct, efficient Kusto Query Language queries with coverage of syntax, joins, dynamic types, datetime pitfalls, regex, serialization, memory management, and advanced functions.