Simulate multi-persona event storming and domain storytelling to model bounded contexts; generate ADRs, C4 diagrams, context maps, and architecture docs from codebases; analyze against TOGAF, Zachman, cloud frameworks; enforce .NET fitness functions and resilience patterns; detect over-engineering and validate principles.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
PROACTIVELY use when generating architecture documentation. Analyzes codebase, identifies components, generates comprehensive docs with C4 diagrams.
Analyzes bounded contexts and maps relationships using DDD context mapping patterns. PROACTIVELY use after event storming when bounded contexts are identified and integration strategies need to be defined. Produces Context Mapper DSL (CML) output with upstream/downstream relationships, integration patterns (ACL, OHS, SK), and team topology suggestions.
PROACTIVELY use during event storming workshops to simulate various perspectives. Supports persona types: business-analyst, developer, devils-advocate, domain-expert, product-owner. Pass persona type as argument.
PROACTIVELY use when generating architecture tests for .NET projects. Creates NetArchTest or ArchUnitNET fitness functions that enforce architectural decisions and module boundaries.
PROACTIVELY use when exploring technical migration paths. Documents current state, identifies options with trade-offs - explores rather than prescribes strategies.
Create and manage Architecture Decision Records (ADRs). Use when documenting technology choices, design decisions, or architectural changes that need to be tracked over time. This is the CANONICAL ADR skill - all ADR-related work should use this skill.
Generate architecture documents using templates with diagram integration. Use for creating C4 diagrams, viewpoint documents, and technical overviews.
Review architecture of current codebase or staged changes
Align with cloud architecture frameworks (Microsoft CAF, AWS Well-Architected). Check alignment with pillars, identify gaps.
Map relationships between bounded contexts using DDD context mapping patterns. Use when defining upstream/downstream relationships, integration strategies (ACL, OHS, PL), or generating Context Mapper DSL output. Follows event storming for bounded context discovery.
Uses power tools
Uses Bash, Write, or Edit tools
Plugins for Claude Code: documentation management, code quality, and ecosystem support.
fnm (Fast Node Manager) is the recommended Node.js version manager for this project. It:
Install fnm:
# Windows (PowerShell as Admin)
winget install Schniz.fnm
# macOS/Linux
curl -fsSL https://fnm.vercel.app/install | bash
Configure for Git Bash (add to ~/.bashrc):
eval "$(fnm env --use-on-cd --shell bash)"
Or source the setup script which includes fnm initialization:
source "/path/to/claude-code-plugins/setup/bashrc-claude.sh"
Install Node:
fnm install 24
fnm default 24
npm install
npm run lint:md # Check for errors
npm run lint:md:fix # Auto-fix errors
Markdown linting runs automatically on PRs via GitHub Actions. The same rules apply locally and in CI.
/plugin install claude-ecosystem@claude-code-plugins
/plugin install code-quality@claude-code-plugins
/plugin install google-ecosystem@claude-code-plugins
This repo expects Codex CLI configuration to live in user scope under ~/.codex.
See .codex/README.md for the canonical locations.
| Plugin | Purpose |
|---|---|
| atlassian | Atlassian MCP server: Jira, Confluence, Compass integration |
| browser-automation | Browser automation MCP servers: Chrome DevTools, Playwright |
| business-analysis | BABOK techniques: capability mapping, stakeholder analysis, value streams, journey mapping |
| ci-cd | CI/CD pipelines: GitHub Actions, deployment automation, release management |
| claude-code-observability | Event logging, metrics, session diagnostics |
| claude-ecosystem | Claude Code docs, meta-skills, hooks, observability, auditors |
| code-quality | Code review, markdown linting, debugging, CI/CD templates |
| compliance-planning | Regulatory compliance: GDPR, HIPAA, PCI-DSS, AI governance, ISO 27001 |
| content-management-system | Headless CMS architecture: content modeling, taxonomies, media, theming |
| cursor-ecosystem | Cursor IDE docs, CLI, agent, keyword-based search |
| documentation-standards | Technical docs: arc42, C4 model, ADRs, RFC process, docs-as-code |
| dotnet | .NET 10+ automation: build, clean, SDK/tool install, version upgrades, Aspire MCP |
| duende-ecosystem | Duende IdentityServer, BFF, IdentityModel docs |
| enterprise-architecture | TOGAF, Zachman, ADRs, cloud alignment |
| event-modeling | Event-driven design: Event Modeling, Event Storming, CQRS, sagas |
| figma | Figma MCP server: design context, code generation, design tokens |
| formal-specification | Formal methods: UML/SysML, TLA+, OpenAPI/AsyncAPI, state machines |
| git | Git config, GPG signing, hooks, GitHub issues, history exploration |
| google-ecosystem | Gemini CLI docs, Claude-to-Gemini integration, configuration management |
| melodic-software | Developer onboarding, environment setup, commit workflows |
| microsoft | Microsoft MCP servers: Microsoft Learn, Azure, NuGet, Azure DevOps |
| milan-jovanovic | Milan Jovanovic .NET patterns: Clean Architecture, DDD, CQRS, EF Core |
| openai-ecosystem | OpenAI Codex CLI docs |
| requirements-elicitation | Requirements gathering: LLMREI interviews, gap analysis, prioritization |
| research | Research workflows: MCP integration, multi-source synthesis, structured output |
| response-quality | Response quality standards, source citations |
| security | Security: OWASP, authentication, cryptography, DevSecOps, threat modeling, 12 skills |
| soft-skills | Career progression, interviews, communication, professional visibility |
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sethdfordNo description provided.
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