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概要と使いどころ
Use when generating cloud architecture diagrams as code — creating, modifying, or reviewing infrastructure diagrams using the Python Diagrams library. Covers AWS, Azure, GCP, Kubernetes, on-premises, and SaaS provider nodes. Generates PNG/SVG architecture diagrams from Python code with Graphviz rendering.
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。
Dark-themed SVG architecture/cloud/infra diagrams as HTML.
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。
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer 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。
MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagram, ERD or entity-relationship diagram, state diagram or state machine, gantt chart, or timeline. Also trigger when the user mentions Mermaid syntax or wants a system architecture, decision tree, dependency graph, API call flow, auth handshake, schema, or pipeline visualized in FigJam. Routes to type-specific guidance, sets universal Mermaid constraints, and tells you when to use a different diagram type or skip the tool entirely (mindmaps, pie charts, class diagrams, etc.).
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Scan a codebase for deepening opportunities, present them as a visual HTML report, then guide a user-directed decision loop for the selected candidate.
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。
Choose and compare cloud design patterns for distributed systems. Use when reviewing architecture, selecting workload patterns, or mapping reliability, performance, messaging, security, and migration concerns to concrete design options.
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Database Architect IA — Expert en conception de bases de données (PostgreSQL, MongoDB, Redis, schema design, migrations). Optimise le stockage et l'accès aux données.
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Expert en stratégie de marque (positionnement, messaging, architecture de marque, analyse concurrentielle)
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 Aider (AI pair programming, git integration, multi-model, 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。
Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.
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。
You are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.
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Complete toolkit for senior architect with modern tools and 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。
Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical 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。
Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.
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。
VIP+W (View-Interactor-Presenter-Worker) Clean Architecture for iOS with unidirectional data flow and proper separation of concerns
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OCI（Oracle Cloud Infrastructure）のアーキテクチャ構成図を draw.io 形式（.drawio）で生成・編集する。AWS/Azure の構成図を OCI へ変換することもできる。Generate, edit, and convert OCI architecture diagrams in draw.io (.drawio) format using official Oracle icons.
React Three Fiber architecture: production-level Canvas mount, component lifecycle, useFrame. Use when implementing, reviewing or testing react three fiber architecture for React, Vite, Next.js or Perfect_AI projects.
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Three.js architecture: production-level scene/camera/renderer resize cleanup. Use when implementing, reviewing or testing three.js architecture for React, Vite, Next.js or Perfect_AI projects.
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Next.js architecture: production-level RSC boundaries, routes, metadata, cache. Use when implementing, reviewing or testing next.js architecture for React, Vite, Next.js or Perfect_AI projects.
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。
One-question-at-a-time design interrogation. Use when: 'grill me', 'interrogate this', 'one question at a time', 'brainstorm', 'let's brainstorm', 'let's discuss', 'lets discuss', 'discuss', 'walk me through', or design review start. Produces ADRs and glossary as decisions settle. Use for unsettled designs; for settled designs go straight to architecture-mode. When the design is unsettled and also has high ambiguity, several technical approaches, or security/data risk, load architecture-mode alongside.
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Weekly review partner that compounds productivity gains over time. Tracks velocity, logs friction, sets next-week targets, recognizes patterns across weeks, and feeds insights back to the audit for the next loop. Use when you want a weekly review, need to identify friction, want to see patterns, or want to update your system map. Part of the architect-system loop. Outputs to system/compounder/week-{date}.md.
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。
Convergence loop that iteratively improves work until quality thresholds are met. Scores, diagnoses specific weaknesses, rewrites, re-scores, and repeats until all dimensions reach 8/10 or diminishing returns are detected. Use when you want to refine or iterate on work, after the analyst gives a REVISE verdict, or when output quality is below your bar. Part of the architect-system loop. Outputs to system/refinery-log.md.
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Productivity analyst that maps your workflow, scores tasks by time cost and energy drain, and builds a prioritized 4-week automation plan. Use when you want to audit your workflow, figure out what to automate, do a productivity review, identify high-leverage tasks, feel overwhelmed and need to prioritize, or after the compounder surfaces new friction. Part of the architect-system loop. Outputs to system/audit-report.md.
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。
Living project knowledge for OpenFoodJournal — an iOS 26 food journaling app with AI-powered nutrition scanning. Consult this skill FIRST when starting any work on this project. Contains architecture decisions, data models, service contracts, current state, known issues, and conventions. Update this skill whenever requirements, architecture, or project state changes so it stays accurate across sessions.
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。