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概要と使いどころ
Run Phase 2b (implementation, Green phase) and Phase 2c (refactor) for the active VCSDD feature. Invokes vcsdd-builder to implement minimal code to pass failing tests, then refactor.
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。
Game art principles. Visual style selection, asset pipeline, animation workflow.
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。
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
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, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.
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。
Expert Flutter specialist mastering Flutter 3+ with modern architecture patterns. Specializes in cross-platform development, custom animations, native integrations, and performance optimization with focus on creating beautiful, native-performance applications.
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。
Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention, and automated recovery strategies across multi-agent systems with focus on minimizing impact and learning from 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。
When reviewing, optimizing, or inheriting an LLM agent, systematically identify what's actually load-bearing vs. cruft. Instruments usage, ablates components, and strips the agent to minimum viable form. Answers: "What can we remove without degrading quality?" The goal is the leanest agent that still works.
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。
Systematically investigate and fix build errors, TypeScript errors, or test failures with minimal diffs.
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 bulletproof Terms of Service and Privacy Policy documents for SaaS applications. Infers company information from codebase/marketing site, conducts comprehensive audits, drafts documents, then asks user ONLY for missing details at the end. Minimizes user interaction. Use when the user needs to draft, review, or update legal documents (ToS, Terms of Service, Privacy Policy, legal pages). Triggers on requests for legal documents, terms drafting, privacy policy creation, "cover our bases legally", liability protection, or legal compliance for software products.
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 top-level documentation (README, SPEC, PRODUCT) against recent git history to find drift shipped features missing from docs or features listed as upcoming that already landed. Proposes minimal edits, creates a branch, and opens a PR. Use when asked to review docs for accuracy, after major feature merges, or on a periodic schedule.
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。
Content, animation and effects best practices
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。
Transcribing, displaying and animating captions
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。
Remotion Map animation knowledge
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。
Post-process exported PFC 5.0 asphalt DEM data with vedo for particle, force-chain, crack, displacement, velocity, slice, figure, and animation 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。
Post-process PFC 5.0 asphalt CSV and image exports into reproducible curves, fields, rose diagrams, animations, and summary tables without relying on a local PFC installation.
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。
Ask the minimum clarifying questions before implementing when scope, constraints, or success criteria are unclear. Use when a request has multiple plausible interpretations, missing acceptance criteria, or ambiguous environment constraints.
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。
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts. Use when creating brand-kit image prompts, identity boards, logo systems, or visual-world presentations.
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。
Fix bugs and technical debt with minimal ceremony. Issue GitHub optional — provide one for traceability or work free-form. Replaces /issue-fix.
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 rigorous A/B test plans with hypothesis, sample size calculation, Minimum Detectable Effect (MDE), randomization strategy, and decision rules. Includes guardrail metrics and rollout playbook. Use when planning product experiments, conversion optimization, or data-driven feature decisions.
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 before loading, placing, scaling, or animating GLB models in PlayCanvas to measure bounds, grounding, clips, joints, and hierarchy with the bundled offline inspector.
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 or revise Interpreter UI for non-developers with an ultra-minimal, utilitarian style inspired by the OpenAI website and ChatGPT, not the developer platform. Use when simplifying settings, onboarding, chat, forms, empty states, or helper copy; when removing extra containers, labels, or visual noise; when replacing technical wording with plain language; when clarifying hierarchy and making the main user action obvious; when making every visible label and status understandable to an average HR admin or other non-technical user; when hiding implementation details such as logs, IDs, endpoints, paths, or protocol names; or when a screen must respect the app's existing CSS variables and light/dark theme behavior.
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 setting up visual regression testing with Playwright - toHaveScreenshot baselines, masking dynamic content, handling animations, full-page and element screenshots, cross-browser runs, CI integration, VUDA MCP tooling, or debugging flaky visual diffs
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。
VueUse composable utility collection for Vue 3 - browser, sensor, network, state, animation, and component utilities
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。
React Three Fiber (R3F) 3D rendering — Canvas, meshes, materials, lights, cameras, animations, events, physics, post-processing, 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。