「production」の検索結果

Caddy guidance — automatic HTTPS, Caddyfile patterns, reverse proxying, and simple production deployments.

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。

AWS guidance — core services, IAM least privilege, networking, cost control, and production architecture patterns.

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。

Anthropic Claude API guidance — messages API, tool use, prompt caching, extended thinking, and production patterns.

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。

Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.

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。

AI agent guidance — agent architecture, tool design, planning loops, guardrails, evaluation, and production agents.

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。

Architect autonomous agent systems — perception/action loops, tool design, planning strategies, memory, and multi-agent orchestration patterns. Use when designing an agent from scratch or scaling a prototype to production.

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。

Production-grade TypeScript reference for React & Next.js frontend development. Covers type narrowing, component Props, generic hooks, discriminated unions, as const, satisfies, Zod validation, TanStack Query, server/client boundaries, forms, state management, performance, accessibility, debugging, and code review. Use when the user works with TypeScript in React or Next.js: type errors, Props design, generics, API typing, SSR/CSR boundaries, hydration issues, form validation, state management, performance, or code review. Also use for "how should I type this?", "why does this type error happen?", or any architectural decision involving TypeScript in a frontend context.

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。

Strict test-driven development for behavior changes. Requires verified RED before production code, minimal GREEN, and refactor only after passing tests.

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。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

Generates a new sprint plan or updates an existing one based on the current milestone, completed work, and available capacity. Pulls context from production documents and design backlogs.

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。

Read all open bugs in production/qa/bugs/, re-evaluate priority vs. severity, assign to sprints, surface systemic trends, and produce a triage report. Run at sprint start or when the bug count grows enough to need re-prioritization.

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。

Validate readiness to advance between development phases. Produces a PASS/CONCERNS/FAIL verdict with specific blockers and required artifacts. Use when user says 'are we ready to move to X', 'can we advance to production', 'check if we can start the next phase', 'pass the gate'.

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。

Creates a structured bug report from a description, or analyzes code to identify potential bugs. Ensures every bug report has full reproduction steps, severity assessment, and context.

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。

Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.

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。

Guided, section-by-section Art Bible authoring. Creates the visual identity specification that gates all asset production. Run after /brainstorm is approved and before /map-systems or any GDD authoring begins.

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 implementing UI from Figma, Sketch, MasterGo, Pixso, Modao, MockingBot, screenshots, design selections, design tokens, or design-to-code tasks for production frontend components/pages; Chinese triggers include design draft, implementation by 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。

Use when diagnosing frontend build failures, runtime errors, UI anomalies, API/data problems, white screens, request failures, or unexplained production exceptions; Chinese triggers include debugging, debug, troubleshooting, positioning, error reporting, exceptions, white screens, request failures.

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 a task needs the judgment of an Etcher/Engraver — compensating a resist pattern for expected undercut before etching fine detail, calculating etch time from a known etch rate rather than judging completion visually, verifying a functional engraving's line width/depth against its actual accuracy requirement, or re-validating process parameters on a new material batch before production.

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 a task needs the judgment of a Data Entry Keyer — resolving an illegible or ambiguous source-document field before keying it, running key-verification (double-key) reconciliation on a batch, deciding whether a production-speed quota is compromising accuracy, or sampling a completed batch for a quality-control audit.

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 a task needs senior database-administrator judgment — diagnosing replication lag or a stalled query, sizing a connection pool or index, planning a schema migration on a live table, running backup/restore and failover drills, or triaging a production incident traced to the database.

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 a task needs the judgment of a Continuous Mining Machine Operator in underground coal — reading a methane monitor trend and deciding whether to de-energize, judging whether cumulative unbolted advance has hit the roof control plan's cut-depth limit, deciding whether a permissibility defect requires immediate shutdown in a gassy heading, diagnosing whether a shift's production shortfall traces to cutting rate or shuttle-car haulage, or deciding whether a "drummy" roof sound stops the cut.

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 a task needs the judgment of a Costume Designer — deciding build vs. rent vs. buy for a specific garment, budgeting a production's costume-shop spend across principals and ensemble, engineering a quick-change to hit a scripted time window, building or reading a costume plot to track pieces across a run, or diagnosing why a build is behind schedule going into tech week.

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 a task needs the judgment of a CNC Tool Operator — diagnosing a dimension trending toward its tolerance limit across consecutive parts before it actually crosses, deciding whether to apply a tool wear offset or flag the tool for replacement, evaluating whether a failed part traces to work-holding repeatability versus a program or tool issue, or verifying a setup change with a first-article inspection before running production quantity.

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 a task needs the judgment of a Commercial and Industrial Electronics Repairer — diagnosing a VFD fault trip on a production line, tracing a PLC I/O fault back to the sensor, the wiring, or the ladder logic, selecting arc-flash PPE for live-panel diagnostic work, triaging multiple simultaneous down-lines by downtime-cost-per-hour, or deciding drive/board swap versus component-level repair.

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。