Identifies missing prerequisites (blockers) for each /architect: command based on _state.json field requirements
navraj007in/architecture-cowork-plugin
SkillsMP has collected 48 skills from navraj007in/architecture-cowork-plugin. Open a skill to review its source and details.
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Showing 40 of 48 collected skills.
Tracks actual infrastructure costs against estimated costs and alerts when spend drifts from projection
Defines when and how commands must log architecture decisions to _state.json decisions[] for auditability
Provides the 4-part template for clear, actionable error messages across commands
Generate AI-consumable coding rules (CLAUDE.md, .cursorrules, copilot-instructions) and enforcement tooling from SDL
Compliance frameworks (SOC2, HIPAA, GDPR, PCI DSS) with control mappings and implementation guidance
Step-by-step remediation procedures for the consistency rules used by /architect:validate-consistency --fix
Defines the rules used by /architect:validate-consistency to detect conflicts across project outputs
Maps project constraints (budget, team size, timeline, ops maturity, compliance) to architecture decisions
Shows cost and performance impact of what-if infrastructure changes before committing to them
Patterns for metrics, tracing, logging, alerting, dashboards, and SLO definition
Validates that a command can execute before running it, failing fast on missing prerequisites or invalid state
Documents the dependency graph of /architect: commands, execution order, and estimated chain times
Verifies that chosen technologies integrate well together before a stack decision is committed
Estimates cost and effort to switch from one tech stack to another
Detects the current project stage (concept/mvp/growth/enterprise) from _state.json field presence and completeness
Test naming conventions, fixture patterns, mocking strategies, and coverage thresholds by stage
Quantifies exact trade-offs when switching between architecture options
Structured web research methodology for market analysis, competitor research, and technology evaluation. Ensures research uses live web data with source citations and confidence tags.
Mermaid diagram templates for solution architecture, service communication, C4 Context/Container, data flow, agent flow, deployment, and sequence diagrams. Use when generating architecture diagrams.
Solution Design Language (SDL) specification — schema, validation, normalization, and generation rules
Core methodology for analysing requirements, building system manifests, and generating architecture deliverables. Use when planning or designing any software architecture.
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.
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.
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.
Generate comprehensive security audit checklist from architecture blueprint. Covers OWASP Top 10, data security, authentication, authorization, secrets management, compliance, and testing procedures.
Run comprehensive quality checks on architecture blueprints. Validates completeness, consistency, best practices, and readiness for implementation. Identifies missing sections, conflicting decisions, and potential issues.
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,…
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…
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,…
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).
Core Node.js patterns + cross-runtime reference. For Python see python.md, for .NET see dotnet.md, for Go see go.md.
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).
Templates and rules for generating OpenAPI specs, Postman collections, AsyncAPI specs, and GraphQL schemas from architecture manifests
SDL generators for Docker Compose, Kubernetes, Monitoring, Nginx, and Deploy Diagram
JSON wireframe spec patterns — SDL-to-screen mapping and section examples for each screen type.
Setup steps, credentials, free tiers, and documentation links for 70+ commonly used services. Use when listing required accounts or recommending third-party services.
Architecture pattern selection, folder structures, coding conventions, error handling, testing strategies, and platform-specific patterns for structuring application code
Canonical system manifest format with all enumerated types for project, frontend, service, database, integration, LLM, agent, and communication components. Use when structuring architecture output.
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.