Identifies missing prerequisites (blockers) for each /architect: command based on _state.json field requirements
原文の言語: 英語
メニュー
SkillsMP は navraj007in/architecture-cowork-plugin から 48 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 48 件中 40 件を表示しています。
Identifies missing prerequisites (blockers) for each /architect: command based on _state.json field requirements
原文の言語: 英語
Tracks actual infrastructure costs against estimated costs and alerts when spend drifts from projection
原文の言語: 英語
Defines when and how commands must log architecture decisions to _state.json decisions[] for auditability
原文の言語: 英語
Provides the 4-part template for clear, actionable error messages across commands
原文の言語: 英語
Generate AI-consumable coding rules (CLAUDE.md, .cursorrules, copilot-instructions) and enforcement tooling from SDL
原文の言語: 英語
Compliance frameworks (SOC2, HIPAA, GDPR, PCI DSS) with control mappings and implementation guidance
原文の言語: 英語
Step-by-step remediation procedures for the consistency rules used by /architect:validate-consistency --fix
原文の言語: 英語
Defines the rules used by /architect:validate-consistency to detect conflicts across project outputs
原文の言語: 英語
Maps project constraints (budget, team size, timeline, ops maturity, compliance) to architecture decisions
原文の言語: 英語
Shows cost and performance impact of what-if infrastructure changes before committing to them
原文の言語: 英語
Patterns for metrics, tracing, logging, alerting, dashboards, and SLO definition
原文の言語: 英語
Validates that a command can execute before running it, failing fast on missing prerequisites or invalid state
原文の言語: 英語
Documents the dependency graph of /architect: commands, execution order, and estimated chain times
原文の言語: 英語
Verifies that chosen technologies integrate well together before a stack decision is committed
原文の言語: 英語
Estimates cost and effort to switch from one tech stack to another
原文の言語: 英語
Detects the current project stage (concept/mvp/growth/enterprise) from _state.json field presence and completeness
原文の言語: 英語
Test naming conventions, fixture patterns, mocking strategies, and coverage thresholds by stage
原文の言語: 英語
Quantifies exact trade-offs when switching between architecture options
原文の言語: 英語
Structured web research methodology for market analysis, competitor research, and technology evaluation. Ensures research uses live web data with source citations and confidence tags.
原文の言語: 英語
Mermaid diagram templates for solution architecture, service communication, C4 Context/Container, data flow, agent flow, deployment, and sequence diagrams. Use when generating architecture diagrams.
原文の言語: 英語
Solution Design Language (SDL) specification — schema, validation, normalization, and generation rules
原文の言語: 英語
Core methodology for analysing requirements, building system manifests, and generating architecture deliverables. Use when planning or designing any software architecture.
原文の言語: 英語
Extract and render all Mermaid diagrams from architecture blueprints to PNG images. Creates a diagrams/ folder with high-quality images ready for presentations and documentation.
原文の言語: 英語
Convert architecture documents (blueprints, stakeholder presentations) from Markdown to professionally formatted Word (.docx) files. Applies corporate styling, embeds PNG diagrams, and creates presentation-ready documents.
原文の言語: 英語
Generate OpenAPI 3.0 specification from blueprint API documentation. Creates interactive API docs that can be imported into Postman, Swagger UI, and other API testing tools.
原文の言語: 英語
Generate comprehensive security audit checklist from architecture blueprint. Covers OWASP Top 10, data security, authentication, authorization, secrets management, compliance, and testing procedures.
原文の言語: 英語
Run comprehensive quality checks on architecture blueprints. Validates completeness, consistency, best practices, and readiness for implementation. Identifies missing sections, conflicting decisions, and potential issues.
原文の言語: 英語
Structural code quality rules applied at write time (implementer, scaffolder) and check time (reviewer). Covers function length, single responsibility, abstraction levels, meaningful naming, magic values, parameter design, boolean traps, DRY, dead code,…
原文の言語: 英語
Generate a context-aware, production-grade design system from the SDL blueprint. Produces design tokens, typography, palette, motion language, and component inventory — grounded in the product domain, audience, and architecture. Use this skill when generating…
原文の言語: 英語
Starter file templates and boilerplate for scaffolding projects across frontend, backend, mobile, and AI agent frameworks. Sub-files: nextjs.md, react-vite.md, react-native.md, ios-swift.md, android-kotlin.md, frontend-config.md, nodejs.md, python.md, go.md,…
原文の言語: 英語
ORM and data model generation patterns. Core file covers Node.js (Prisma/Drizzle/TypeORM). Runtime-specific files: python.md (SQLAlchemy/Django ORM), dotnet.md (EF Core), go.md (GORM/sqlc).
原文の言語: 英語
Core Node.js patterns + cross-runtime reference. For Python see python.md, for .NET see dotnet.md, for Go see go.md.
原文の言語: 英語
Environment variable setup patterns. Core file covers Node.js (dotenv, NEXT_PUBLIC_, VITE_). Runtime files: python.md (pydantic-settings, Django settings), dotnet.md (appsettings.json, User Secrets), go.md (caarlos0/env, godotenv).
原文の言語: 英語
Templates and rules for generating OpenAPI specs, Postman collections, AsyncAPI specs, and GraphQL schemas from architecture manifests
原文の言語: 英語
SDL generators for Docker Compose, Kubernetes, Monitoring, Nginx, and Deploy Diagram
原文の言語: 英語
JSON wireframe spec patterns — SDL-to-screen mapping and section examples for each screen type.
原文の言語: 英語
Setup steps, credentials, free tiers, and documentation links for 70+ commonly used services. Use when listing required accounts or recommending third-party services.
原文の言語: 英語
Architecture pattern selection, folder structures, coding conventions, error handling, testing strategies, and platform-specific patterns for structuring application code
原文の言語: 英語
Canonical system manifest format with all enumerated types for project, frontend, service, database, integration, LLM, agent, and communication components. Use when structuring architecture output.
原文の言語: 英語
AI agent orchestration patterns (ReAct, chain-of-thought, multi-agent), tool design, memory strategies, guardrails, and token cost modeling. Use when designing AI agent systems.
原文の言語: 英語