「apis」の検索結果

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

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React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

日本語の概要は準備中です。原文の説明を表示しています。

Design and review intuitive, scalable, maintainable HTTP APIs. Use this skill whenever the user wants to design a new REST API, review an existing API or spec, write OpenAPI 3.x definitions, or work with HTTP semantics (GET/POST/PUT/PATCH/DELETE), status codes, idempotency (Idempotency-Key), error envelopes (RFC 7807 problem+json), pagination, filtering, versioning, or API auth (API keys, OAuth2 client credentials, rate limits). Also trigger for "API design", "RESTful", "endpoints", "OpenAPI", "Swagger", "ReDoc", "contract testing", or GraphQL and gRPC design questions.

日本語の概要は準備中です。原文の説明を表示しています。

TypeScript-only skill for generating and debugging high-resolution AI images through sub2api OpenAI-compatible APIs. Use this whenever the user wants a TS/Node sub2api image generator, 4K image generation, stream=true /v1/images/generations or /v1/responses image generation, Cloudflare 524 timeout avoidance, partial image capture, or SUB2API_BASE_URL/SUB2API_API_KEY based image generation.

日本語の概要は準備中です。原文の説明を表示しています。

Use when selecting serialisation formats and contracts for APIs, messaging, caching, or persistence. Keywords: serialisation, System.Text.Json, source generator, protobuf, messagepack, wire compatibility, AOT.

日本語の概要は準備中です。原文の説明を表示しています。

Use when designing or changing public C#/.NET APIs with compatibility and versioning constraints. Keywords: breaking change, API design, backward compatibility, binary compatibility, deprecation strategy, versioning.

日本語の概要は準備中です。原文の説明を表示しています。

Use when you need to inspect NuGet package APIs, list public types, or decompile method/property signatures. Keywords: inspect package API, list types, decompile type, method signatures, NuGet interface.

日本語の概要は準備中です。原文の説明を表示しています。

Sync reusable frontend decisions into persistent project documentation after UI work. Use when frontend changes introduce or modify component APIs, variants, design-system tokens, styling conventions, layout behavior, accessibility rules, interaction patterns, responsive behavior, or agent operating instructions; when the user asks to reflect decisions in components.md, design system docs, AGENTS.md, CLAUDE.md, GEMINI.md, or similar project memory files; or before finalizing frontend work where future consistency depends on decisions made during implementation.

日本語の概要は準備中です。原文の説明を表示しています。

Use when documenting APIs — OpenAPI/Swagger, PHP attributes, Redocly validation, versioned specs — even when the user just says 'document this endpoint' without naming OpenAPI.

日本語の概要は準備中です。原文の説明を表示しています。

Use when designing APIs, planning endpoints, REST conventions, versioning, or deprecation — even when the user just says 'expose this as an endpoint' without naming API design.

日本語の概要は準備中です。原文の説明を表示しています。

Automate terminal UI (TUI) apps with agent-tui for testing, inspection, demos, and scripted interactions. Use when automating CLI/TUI flows, regression testing terminal apps, verifying interactive behavior, or extracting structured text from terminal UIs. Also use when asked what agent-tui is, how it works, or to demo it. Do not use for web browsers, GUI apps, or non-terminal interfaces.

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Use this skill whenever the user wants to create, edit, explain, validate, or troubleshoot a proctmux.yaml/procmux.yaml file, add or change proctmux processes, configure lifecycle behavior such as stop signals/on_kill/autostart, customize unified-mode layout/keybindings/style, or enable Makefile/package.json process discovery. Use it even when the user says this casually, such as "add my dev server to proctmux", "fix this proctmux config", "write a config for these services", or "what YAML option controls focus".

日本語の概要は準備中です。原文の説明を表示しています。

Use when reading or writing Zig files (.zig, build.zig, build.zig.zon).

日本語の概要は準備中です。原文の説明を表示しています。

Use when adding, running, or debugging proctmux end-to-end integration tests, especially PTY/TUI behavior, terminal snapshots, unified/client modes, timing flakes, VT100 emulator limits, or files under tests/e2e and internal/testharness/e2e.

日本語の概要は準備中です。原文の説明を表示しています。

Harness-first workflow for evaluating and improving terminal UIs through real interaction. Use this whenever the user wants to review a TUI experience, compare before/after behavior, identify UX friction, validate navigation or filtering flows, inspect visual stability, or turn observed interaction problems into concrete follow-up tests and improvement recommendations. Prefer this skill any time a TUI should be exercised through a reproducible PTY/session harness instead of only reading code.

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used when designing terminal user interfaces, creating TUI layouts, choosing TUI color schemes, implementing keyboard navigation, building terminal dashboards, or working with any TUI framework. Activates on mentions of TUI design, terminal UI, Ratatui layout, Ink components, Textual widgets, Bubbletea views, terminal color palette, keybinding design, panel layout, split panes, terminal dashboard, box-drawing characters, sparklines, progress bars, modal dialogs, focus management, or terminal accessibility.

日本語の概要は準備中です。原文の説明を表示しています。

Guia completo de desenvolvimento backend para microserviços Node.js/Express/TypeScript. Use ao criar routes, controllers, services, repositories, middleware ou trabalhar com Express APIs, acesso a banco de dados com Prisma, rastreamento de erros com Sentry, validação com Zod, unifiedConfig, injeção de dependências ou padrões assíncronos. Cobre arquitetura em camadas (routes → controllers → services → repositories), padrão BaseController, tratamento de erros, monitoramento de performance, estratégias de testes e migração de padrões legados.

日本語の概要は準備中です。原文の説明を表示しています。

Arquiteto especialista em backend especializado em design de APIs escaláveis, arquitetura de microsserviços e sistemas distribuídos.

日本語の概要は準備中です。原文の説明を表示しています。

Especialista em construir produtos que envolvem APIs de IA (OpenAI, Anthropic, etc.) em ferramentas focadas pela qual as pessoas pagarão. Não apenas 'ChatGPT mas diferente' - produtos que resolvem problemas específicos com IA. Cobre engenharia de prompts para produtos, gestão de custos, rate limiting e construção de negócios de IA defensáveis. Use quando: wrapper de IA, produto GPT, ferramenta IA, envolver IA, IA SaaS.

日本語の概要は準備中です。原文の説明を表示しています。

Use quando o usuário pergunta como construir com produtos ou APIs da OpenAI e precisa de documentação oficial atualizada com citações (por exemplo: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, capacidades ou limites de modelos); priorize ferramentas MCP de docs da OpenAI e restrinja qualquer fallback de navegação a domínios oficiais da OpenAI.

日本語の概要は準備中です。原文の説明を表示しています。

Plataforma GPU serverless em nuvem para executar workloads de ML. Use quando você precisar de acesso GPU sob demanda sem gerenciamento de infraestrutura, fazendo deploy de modelos de ML como APIs, ou executando jobs em batch com auto-scaling.

日本語の概要は準備中です。原文の説明を表示しています。

Serve LLMs com alta throughput usando PagedAttention do vLLM e continuous batching. Use ao fazer deploy de APIs LLM em produção, otimizar latência/throughput de inferência, ou servir modelos com memória GPU limitada. Suporta endpoints compatíveis com OpenAI, quantização (GPTQ/AWQ/FP8) e tensor parallelism.

日本語の概要は準備中です。原文の説明を表示しています。

Padrões de design para construir agentes de codificação autônomos. Cobre integração de tools, sistemas de permissão, automação de browser e workflows com intervenção humana. Use ao construir agentes IA, projetar APIs de tools, implementar sistemas de permissão ou criar assistentes de codificação autônomos.

日本語の概要は準備中です。原文の説明を表示しています。