「composition」の検索結果

Wire the Prisma Next runtime — `db.ts` setup using `postgres<Contract>(...)` from `@prisma-next/postgres/runtime`, `sqlite<Contract>(...)` from `@prisma-next/sqlite/runtime`, or `mongo<Contract>(...)` from `@prisma-next/mongo/runtime`; middleware composition (telemetry from `@prisma-next/middleware-telemetry`; lints and budgets), `DATABASE_URL` config, per-environment branching, switching between Postgres, SQLite, and Mongo façades. Use for db.ts, postgres(), sqlite(), mongo(), middleware, telemetry, lints, budgets, DATABASE_URL, .env, connection pool, poolOptions, dev vs prod config, transactions, db.transaction, read replicas, multi-database, script won't exit, hangs, close connection, db.end, db.close, pool.end, [Symbol.asyncDispose], await using.

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。

Guide for creating distinctive, production-grade frontend interfaces. Covers visual design systems, typography, color, motion, spatial composition, and web interface standards. Use when designing UI, establishing design systems, or reviewing visual quality of frontend 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。

Record, compose, publish, serve, and review short desktop validation video proofs for Pulp UX/test-harness work. Use when the user asks to "show me it working", record a validation video, prove a click/interaction, share a local proof link, attach a video to a review issue, or compare an implemented UI against source material. Covers macOS desktop capture, Remotion proof composition, attachment budgets, local/Tailscale serving, and review closure.

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。

Unity game architecture decision patterns. Service Locator vs Singleton vs DI, Event Bus vs ScriptableObject channels, MonoBehaviour vs plain C#, component composition, manager bootstrap sequences. DECISION format: WHEN/DECISION/SCAFFOLD/GOTCHA. Based on Unity 6.3 LTS.

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。

Unity scene and asset architecture decisions. Additive scene composition, Addressables vs Resources, AssetReference workflow, asset lifecycle coordination, loading screens. DECISION format: WHEN/DECISION/SCAFFOLD/GOTCHA. Based on Unity 6.3 LTS.

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 reviewing Vue 3 + TypeScript project structure, SFC/component boundaries, composables organization, route composition, Pinia ownership, API/error/styling defaults, directives, or repository-wide Vue conventions. Prefer narrower skills for forms, data fetching, tests, accessibility, virtualization, animation, or security deep dives; Chinese triggers include Vue 3 project specification, Vue component architecture.

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 reviewing React + TypeScript project structure, feature/module boundaries, component architecture, hooks organization, routing composition, state/API/error/styling defaults, or repository-wide React conventions. Prefer narrower skills for forms, data fetching, tests, accessibility, virtualization, animation, or security deep dives; Chinese triggers include React project specification, React component architecture.

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, implementing, or reviewing Tailwind CSS design systems, token mapping, theme extension, utility class governance, component variants, dark mode, responsive utilities, safelists, or maintainable class composition; Chinese triggers include Tailwind, design Token, component variants, dark mode, class management.

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 embalmer — assessing a case's decomposition stage and preservation difficulty, calculating an arterial-fluid dilution ratio for a specific case condition, choosing a restorative-art approach for trauma or discoloration, or working through a bloodborne-pathogen exposure-control decision.

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 eligibility interviewer for government benefit programs — calculating household income against a means-tested program's limits, determining household composition for benefit purposes, judging whether submitted verification documents are sufficient, or distinguishing a documentation gap from a fraud indicator.

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 English Language and Literature Professor — backward-designing a first-year composition or literature syllabus against a shared outcomes rubric, deciding whether an AI-detection or plagiarism flag on a student essay warrants an integrity case, reading where a tenure case's monograph actually sits in a university press's pipeline, or handling a content complaint about an assigned literary text.

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 this whenever the user asks to "implement", "add", "build", "create", or "modify" a feature, page, view, component, or module in this Vue project. Three phases: Phase 0 scope analysis (flows + edge cases + UI needs + plan validation, STOP for user), Phase 1 implementation (layered UI → Store → API, Vue 3 Composition + Vuetify 4, /ui design rules), Phase 2 Definition-of-Done checklist + /verify + /pull-request. Auto-runs /create-module if the target module doesn't exist.

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。

Audit a codebase against well-known software design principles: SOLID, DRY, YAGNI, KISS, Law of Demeter, Separation of Concerns, Composition over Inheritance, and the code-relevant 12-Factor subset. Scores findings by impact and effort, runs adversarial debate on contested violations, and generates a prioritized DESIGN_AUDIT.md. Use when reviewing code quality beyond what linters catch, assessing design health before a refactor, or onboarding to an unfamiliar codebase. Can be invoked standalone or delegated from tech-debt.

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。

Professional Flutter: widget composition, state management, platform channels, and performance. Use when writing, reviewing, or structuring Flutter apps.

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。

Manage software composition analysis — SBOMs, vulnerability triage, and remediation of third-party dependencies.

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。

EEG preprocessing and analysis — filtering, artifact removal, time-frequency decomposition, and ERP workflows.

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 agents that work toward goals with minimal supervision — goal decomposition, self-correction loops, safe autonomy levels, and long-horizon task management. Use when an agent must run for hours or complete open-ended 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。

Audit ESG reporting software and sustainability metric accuracy. Analyzes Environmental (Scope 1/2/3 emissions, water, waste, biodiversity), Social (workforce diversity, pay equity, human rights due diligence), and Governance (board composition, ethics, risk) data collection against GRI.

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。

Analyze MRO parts inventory systems for field service optimization -- truck stock composition, first-time fix rate improvement, reorder point calculation, safety stock sizing, obsolescence detection, and demand forecasting..

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。

Analyze demand forecasting systems — time-series decomposition (ARIMA, Prophet, ETS), seasonal and event-driven demand modeling, booking curve and pickup analysis, cancellation prediction, forecast accuracy metrics (MAPE, bias), and model retraining pipelines.

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。

Decompose a business problem MECE using an issue tree, generate hypotheses, and prioritize branches for investigation. Use when a consultant says "help me structure this problem", "I need to break down this issue", "build me an issue tree", "I don't know where to start on this problem", "help me frame the problem", "what are the hypotheses here", "we need to prioritize our analysis", or "the client problem is too broad". Also trigger when describing a complex or ambiguous business problem that needs systematic decomposition before analysis begins, or when an engagement is starting and a workplan needs to be structured from a problem statement.

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。

Transform reference photographs and visually dense images into sparse, recognizable, high-saturation flat-vector-style illustrations through semantic compression rather than literal tracing. Use when the user asks for photo-to-flat illustration, photo-to-vector-style redraw, 照片转扁平插画, 无渐变高饱和插画, iconification, visual simplification, composition-preserving abstraction, a consistent minimal illustration set, or revisions that remove gradients, glow, texture, blur, clutter, text, logos, numbers, or UI. Default to human-perceived semantic complexity 6 out of 10 or lower, fixed-HSB solid fills, crisp boundaries, and no gradients or light-halo effects.

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 complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

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 this skill when writing acceptance criteria for Salesforce features, structuring UAT test scripts from user stories, classifying defects found during UAT, or planning regression testing before a Salesforce release. Trigger keywords: UAT, user acceptance testing, test script, acceptance criteria, defect classification, regression testing, test plan, test case. NOT for Given/When/Then AC syntax — use admin/acceptance-criteria-given-when-then. NOT for the per-case field schema and AC-to-case decomposition — use admin/uat-test-case-design. NOT for automated Flow or Apex test coverage — use flow/flow-testing. Also covers: UAT plan record, sandbox selection for UAT, pre-UAT environment checklist, sandbox email deliverability for testers, test-user personas, negative and bulk coverage, defect triage categories, go/no-go sign-off, quick-deploy window.

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。