「advanced」の検索結果

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.

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 an Advanced Materials result is sound but its central advance and significance are not yet sharp, or when a Communication's opening paragraph must double as its abstract. Structures the one-advance narrative; does not run characterization or design figures.

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 running the final pre-submission preflight for an Advanced Materials manuscript — article type, format, files, Supporting Information, TOC graphic, ORCID, and metadata for the Wiley submission system. Verifies submission readiness; does not write content.

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 choosing suggested and opposed referees for an Advanced Materials submission and pre-empting the objections materials reviewers most often raise. Plans referee selection and objection defense; does not write the manuscript or the rebuttal.

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 drafting the cover letter for an Advanced Materials submission, whose core job is to convince the editor that the work is a genuine materials advance of broad impact worthy of the journal. Argues the impact case; does not fix the science or format the manuscript.

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 deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the Experimental Section and Supporting Information. Partitions and stress-tests methods; does not design figures or run analysis.

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 auditing figures for an Advanced Materials manuscript, including the lead figure, multi-panel characterization figures, and the Table-of-Contents graphic, where visual quality is a house expectation. Designs figure strategy; does not run the analysis or write prose.

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 responding to Advanced Materials reviewer reports and an editor's decision — major or minor revision, or a rejection with a resubmission or transfer path. Structures the response and the manuscript changes; does not perform the underlying new experiments.

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 deciding which advmat-* sub-skill to invoke next, or when sequencing manuscript work from scope-fit through revision for an Advanced Materials (Adv. Mater.) manuscript. Routes — does not replace — the specialized skills.

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 partitioning content between an Advanced Materials main text and its Supporting Information, ensuring the paper stands alone while extended data, full experimental detail, and secondary characterization live in the SI. Organizes the Supporting Information; does not write the main 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 when polishing the prose of an Advanced Materials manuscript for Wiley house style, concision, precise materials nomenclature and units, and readability across materials subfields. Polishes language; does not restructure the advance or manage the length budget.

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 an Advanced Materials manuscript must be fit to its article-type format — Communication versus Research Article — where word count and display items are budgeted together against a typeset page limit. Manages the length budget; does not restructure the science or polish prose line by line.

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。

Writes and migrates Swift Testing framework tests with @Test, @Suite, #expect, #require, confirmation, traits, withKnownIssue, Attachment.record, processExitsWith exit tests and capture lists, Test.cancel, Issue.record warnings/manual failures, XCTest-to-Swift Testing migration, Xcode 27 interoperability modes, XCUITest UI-test boundaries, performance/snapshot boundaries, mocking, async patterns, and test organization. Use when writing tests, converting XCTest assertions such as XCTUnwrap or XCTFail, reviewing advanced Swift Testing API availability, or deciding when to keep XCTest/XCUITest.

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。

[Deprecated] Optional advanced tool for complex data modeling. For simple MySQL table creation, use relational-database-tool directly; for PostgreSQL / CloudBase PG schema work, use postgresql-development. New environments should use PostgreSQL DDL via queryPgDatabase/managePgDatabase — see postgresql-development skill 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。

Comprehensive skill for Locomotive Scroll smooth scrolling library with parallax effects, viewport detection, and scroll-driven animations. Use this skill when implementing smooth scrolling experiences, creating parallax effects, building scroll-triggered animations, or developing immersive scrolling websites. Triggers on tasks involving Locomotive Scroll, smooth scrolling, parallax, scroll detection, scroll events, sticky elements, horizontal scrolling, or GSAP ScrollTrigger integration. Integrates with GSAP for advanced scroll-driven animations.

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 and verify a third-party `.ppmplugin` end to end. This recommended entry point detects Android and iOS source, confirms target platforms, then invokes the manifest, platform build, assemble, and audit stages in order. Advanced users can invoke a stage directly for focused reruns or debugging. Produces a native-only bundle (`manifest.json` plus an Android DEX and/or iOS framework) and stops on any failed stage rather than emitting an unverified partial build. Run after the native module exists.

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 rigging a character, creature or prop in Maya: "rig this character", placing or orienting joints, Orient Joint doing nothing, IK/FK switch and matching, pole vector flips or elbow drift, space switching, foot roll, spline IK spine, offsetParentMatrix, blendMatrix or matrix rigging, controls and lockdown for animators, Quick Rig, HumanIK, AdvancedSkeleton or mGear, a game skeleton for Unreal or Unity, or a slow rig (parallel evaluation, profiling, GPU Override not kicking in).

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。

Architecting cross-tool conversion flows that match audience and stage. Landing page to lead magnet to nurture sequence to offer to advanced funnels. Honest about silo-funnels (every tool standalone), kitchen-sink-funnels (every audience squeezed through one path), and matched-funnels (architecture matched to audience-and-stage) patterns. Triggers on funnel design, conversion architecture, marketing funnel, growth funnel, lifecycle architecture, nurture sequence design, multi-tool funnel orchestration. Also triggers when the team's growth tools are working individually but not together, when audience segments share one nurture path, or when a funnel is being architected from scratch.

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。

Implements advanced TypeScript type systems with custom type guards, utility types, branded types, discriminated unions, and full-stack type safety with tRPC.

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。

Optimizes PostgreSQL queries, configures replication, implements advanced features including EXPLAIN analysis, JSONB operations, extension usage, and VACUUM tuning.

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 Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance.

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。

Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira operations.

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 to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model performance", "set up MLOps pipeline", "analyze time series", "calculate sample size", or "deploy a model to production". Expert data science covering statistical modeling, experimentation, causal inference, feature engineering, ML deployment, and advanced analytics with Python, R, and SQL.

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。

Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis

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。