「build」の検索結果

Work with the @upstash/workflow TypeScript/JavaScript SDK for durable, long-running workflows in serverless functions, multi-step processes that survive timeouts, retries, and restarts (built on QStash). Use when defining a workflow endpoint with serve(), running steps with context.run, sleeping for minutes to days without holding a function open, calling external APIs with context.call, waiting for an external event or webhook, invoking other workflows, configuring retries, failure callbacks, and a DLQ, controlling concurrency, rate, and parallelism, triggering, cancelling, or inspecting runs with the Workflow client, building AI agents and orchestrators, human-in-the-loop approvals, realtime updates, local development with the QStash dev server, adding middleware, or migrating workflows safely. Also use when the user asks for durable execution, step functions, saga or orchestration patterns, background jobs with checkpoints, or long-running tasks on Vercel, Next.js, Cloudflare Workers, or other serverless platforms.

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。

Work with the @upstash/qstash TypeScript/JavaScript SDK, an HTTP-based message queue, task scheduler, and background job system for serverless and edge runtimes (Next.js, Vercel, Cloudflare Workers, Deno, Node.js). Use when publishing messages to HTTP endpoints or URL groups, running background jobs without a long-running worker process, scheduling with cron expressions, delaying messages, building FIFO queues with parallelism and flow control, configuring retries and callbacks, handling a dead letter queue (DLQ), deduplicating messages, fanning out to multiple endpoints, verifying QStash webhook signatures (Next.js App Router, Pages Router, and Edge Runtime), running a local QStash dev server, or migrating regions. Also use when the user asks for a serverless cron job, async task queue, job scheduler, delayed delivery, webhook delivery with retries, or event-driven messaging between services.

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。

Develop accessible mobile applications (iOS and Android) conforming to RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework, based on EN 301 549 v3.2.1 / WCAG 2.1). Use when building native mobile apps, React Native, Flutter, or any mobile UI that must meet Luxembourg accessibility law. Covers all 15 RAAM themes with platform-specific code guidance. Default conformance target: Level AA.

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。

Analyzes Android build files and R8 keep rules to identify redundancies, broad package-wide rules, and rules that subsume library consumer keep rules. Use when developers want to optimize their app's size, remove redundant or overly broad keep rules, or troubleshoot Proguard configurations.

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。

Provides guidelines for developing projected Android XR apps for display glasses using the Jetpack Compose Glimmer UI toolkit. This skill covers foundational Glimmer design principles, workflows for implementing Jetpack Compose Glimmer, and interaction models for the glasses form factor. Use this skill to build an Android XR Augmented Experience app with Jetpack Compose Glimmer that adheres to the Glimmer design system for optimized glasses styling.

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 the free built-in .NET SDK analyzers and analysis levels with gradual Roslyn warning promotion. Use when a .NET repo needs first-party code analysis, `EnableNETAnalyzers`, `AnalysisLevel`, or warning-as-error policy wired into build and CI.

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。

Build or review distributed .NET applications with Orleans grains, silos, persistence, streaming, reminders, placement, transactions, serialization, event sourcing, testing, and cloud-native hosting.

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。

The complete Go development skill. REQUIRED for ALL Go work — writing, refactoring, reviewing, generating, scaffolding, or discussing Go code, including any change to .go files. Use whenever the user mentions Go, Golang, go.mod, a Go package, or asks to build a Go backend service, CLI, library, script, MCP server (Model Context Protocol), or AI/LLM agent with tool calling or ReAct-style reasoning. Routes by project type to the right architecture, conventions, and review checklist. Highly opinionated; overrides generic Go style and lint guidance on conflicts.

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Use whenever the user mentions Betaflight, FPV drone firmware, flight-controller config, PID/filter/rates tuning, or blackbox log analysis — or shares a Betaflight artifact: a CLI diff/dump (lines like 'diff all', 'set ', 'feature ', 'resource ') or a .bbl/.bfl blackbox log, even when not named as such — or runs a chirp tuning session via Sweep Studio / FPVLogForge (a chirp log ID to analyse, 'analyse log', 'résultat chirp', iterative Bode/step/Ms tuning). Covers flight symptoms (oscillations, wobble, propwash, jello, hot motors, drift), motor/ESC and RX/ELRS/CRSF setup, builds from 3" to 10" (cinewhoop, tinywhoop, longrange, X-class), version migrations (4.4 → 4.5 → 4.6), and configuring a new drone from scratch (setup wizard). Trigger even when phrased casually ("mon drone wobble", "PID help", "config FC") — under-triggering is worse than over-triggering.

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Use when designing or building any terminal user interface — choosing a layout paradigm, keybindings/interaction model, color system, data visualization, or motion. Framework-agnostic universal patterns that work with Ratatui, Ink, Textual, Bubbletea, or any TUI toolkit. For the repo's own pythinker-code TUI, use write-tui instead.

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。

Build terminal UIs with OpenTUI. Covers core, components, audio, keymaps, React, Solid, plugins, testing, standalone executables, QR encoding, SSH, and Three.js WebGPU.

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。

Build defenses against AI jailbreak attempts. TRIGGERS - Use when user needs help with ai-jailbreak-defense related tasks.

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。

Build AI image generation applications. TRIGGERS - Use when user needs help with ai-image-generator-app related tasks.

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。

Build AI image processing pipelines for generation and analysis. TRIGGERS - Use when user needs help with ai-image-pipeline related tasks.

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。

Build AI patent analysis systems. TRIGGERS - Use when user needs help with ai-patent-analyzer related tasks.

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。

Build AI employee onboarding assistants. TRIGGERS - Use when user needs help with ai-onboarding-assistant related tasks.

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。

Build ML pipeline orchestration systems. TRIGGERS - Use when user needs help with ai-pipeline-orchestrator related tasks.

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。

Build integration hubs connecting AI services. TRIGGERS - Use when user needs help with ai-integration-hub related tasks.

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。

Build AI performance review assistance systems. TRIGGERS - Use when user needs help with ai-performance-reviewer related tasks.

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。

Build AI inventory prediction. TRIGGERS - Use when user needs help with ai-inventory-predictor related tasks.

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。

Build AI orchestration pipelines with routing. TRIGGERS - Use when user needs help with ai-orchestration-pipeline related tasks.

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。

Build AI invoice processing systems. TRIGGERS - Use when user needs help with ai-invoice-processor related tasks.

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。

Build AI output validation systems with guardrails. TRIGGERS - Use when user needs help with ai-output-validator related tasks.

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。

Build AI lead scoring systems. TRIGGERS - Use when user needs help with ai-lead-scorer related tasks.

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。