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Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".

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。

Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"

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。

Search a codebase or UI for places that don't animate but should, and reject everything that shouldn't. Read-only; it proposes motion with exact values, it does not implement it. Use when the user asks "what could be animated here?" or wants to "make this feel more alive". For fixing existing animations, use improve-animations or review-animations 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。

Diagnoses and fixes flaky tests by identifying root causes (timing issues, shared state, randomness, network dependencies) and provides stabilization strategies. Use for "flaky tests", "test stability", "intermittent failures", or "test debugging".

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。

Builds multi-step forms with validation schemas (Zod/Yup), step components, shared state management, progress indicators, review steps, and error handling. Use when creating "multi-step forms", "wizard flows", "onboarding forms", or "checkout processes".

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 smooth animations and micro-interactions using Framer Motion including page transitions, gestures, scroll-based animations, and orchestrated sequences. Use when users request "add animation", "framer motion", "page transition", "animate component", or "micro-interactions".

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 safe refactor plans for messy UI code including component splitting strategies, state simplification, performance optimizations, and accessibility improvements. Provides phased approach, risk assessment, and "done" criteria. Use when refactoring "legacy code", "messy components", "performance issues", or "large files".

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。

Establishes git workflow guardrails including conventional commits, commit message hooks, branch naming conventions, PR templates, and code review processes. Provides hook configurations, workflow templates, and emergency bypass instructions. Use when users request "setup git hooks", "enforce commit conventions", "add PR templates", or "standardize git 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。

Creates comprehensive GitHub Actions CI/CD workflows for linting, testing, building, and deploying. Includes caching strategies, matrix builds, artifact handling, and failure diagnostics. Use for "GitHub Actions", "CI pipeline", "workflow automation", or "continuous integration".

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。

Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.

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。

Designs GraphQL schemas with types, queries, mutations, subscriptions, resolvers, and DataLoader patterns for efficient data fetching. Use when users request "GraphQL API", "schema design", "GraphQL setup", "resolvers", or "Apollo Server".

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 content safety filters with PII redaction, policy constraints, prompt injection detection, and safe refusal templates. Use when adding "content moderation", "safety filters", "PII protection", or "guardrails".

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。

Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.

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。

Adds internationalization (i18n) infrastructure with translation plumbing, scalable key strategy, formatters for dates/numbers/currency, plural rules, and language switching. Use when implementing "internationalization", "translations", "multi-language support", or "i18n".

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。

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

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。

Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write 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。

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

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。

Survey a codebase's animation and motion code as a senior motion advisor, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the animations", "audit the motion", "make this app feel better", or wants a roadmap of animation fixes rather than a review of a single diff.

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。

Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

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。

Identifies and fixes XSS, SQL injection, and command injection vulnerabilities with validation schemas, sanitization libraries, and safe coding patterns. Use for "input validation", "XSS prevention", "SQL injection", or "sanitization".

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 Insomnia collection export files from Express, Next.js, Fastify, or other API routes. Creates organized workspaces with request groups, environments, and authentication. Use when users request "generate insomnia collection", "export to insomnia", "create insomnia workspace", or "insomnia import".

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 integration tests for API endpoints with database flows, including test harness setup, fixtures, setup/teardown, database seeding, and CI-friendly strategies. Use for "integration testing", "API tests", "database tests", or "test harness".

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。

Documents TypeScript code with JSDoc comments, generates API documentation, and creates type-safe documentation. Use when users request "JSDoc", "code documentation", "API docs", "TypeDoc", or "inline documentation".

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。

Plans safe API evolution with versioning strategies, client migration guides, deprecation timelines, and backward compatibility considerations. Use for "API versioning", "deprecation planning", "API evolution", or "breaking changes".

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。