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Claude Code Plugins

Plugins for Claude Code: documentation management, code quality, and ecosystem support.

Prerequisites

  • Claude Code installed
  • Python 3.13+ (for spaCy-based operations)
  • Node.js 18+ (for markdown linting)

Development Setup

Node.js Version Manager (fnm)

fnm (Fast Node Manager) is the recommended Node.js version manager for this project. It:

  • Works natively in Git Bash (unlike nvm-windows which has known issues)
  • Is significantly faster than nvm-windows (Rust-based)
  • Has cross-platform consistency (Windows/macOS/Linux)

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

Install Dependencies

npm install

Run Markdown Linting

npm run lint:md        # Check for errors
npm run lint:md:fix    # Auto-fix errors

CI

Markdown linting runs automatically on PRs via GitHub Actions. The same rules apply locally and in CI.

Installation

/plugin install claude-ecosystem@claude-code-plugins
/plugin install code-quality@claude-code-plugins
/plugin install google-ecosystem@claude-code-plugins

Codex CLI Configuration

This repo expects Codex CLI configuration to live in user scope under ~/.codex. See .codex/README.md for the canonical locations.

Plugins

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
spec-driven-development Spec Kit workflow: EARS, Gherkin, Kiro, ADRs, User Stories
systems-design Scalability, distributed systems, quality attributes
tac Tactical Agentic Coding: multi-agent workflows, prompt engineering, ADW
team-design Team structure: Team Topologies, cognitive load, inverse Conway
test-strategy Test planning: test pyramid, test case design, automation ROI
visualization Diagrams-as-code (Mermaid, PlantUML)
wardley-mapping Strategic positioning: value chain visualization, evolution analysis
windows-diagnostics Windows system diagnostics, troubleshooting

Removed Plugins (v2.0 Consolidation)

The following plugins were removed because they primarily wrapped published standards that can be researched on-demand via MCP servers (perplexity, context7, microsoft-learn):

Removed Plugin Methodology MCP Alternative
ai-ml-planning CRISP-DM, NIST AI RMF perplexity for methodology, Claude generates templates
data-architecture Kimball, Data Vault perplexity for patterns, microsoft-learn for Azure Data
estimation-planning Monte Carlo, FMEA perplexity for technique, Claude calculates
observability-planning SLO/SLI patterns perplexity for observability patterns
product-discovery Design Thinking, Lean Startup perplexity for methodology, templates on-demand
quality-attributes ISO 25010 perplexity for ISO 25010 model
saas-patterns Multi-tenancy, Stripe billing perplexity for architecture, context7 for Stripe docs
ux-research SUS, Nielsen heuristics, WCAG perplexity for standards, checklists on-demand

Usage: Instead of these plugins, ask Claude directly: "Help me design X using [methodology]" and Claude will research via MCP and generate equivalent guidance.

Usage

List available skills and commands:

/claude-ecosystem:list-skills
/claude-ecosystem:list-commands

Architecture

  • Pure delegation: Skills delegate to docs-management for official docs
  • Progressive disclosure: Content loads on-demand to optimize tokens

See individual plugin READMEs for details.

License

MIT - see LICENSE

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