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)

Installation

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

Plugins

Plugin	Purpose
ai-ml-planning	AI/ML project planning: ML lifecycle, prompt engineering, RAG architecture, AI safety
business-analysis	BABOK techniques: capability mapping, stakeholder analysis, value streams, journey mapping
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
contract-testing	API contract testing: Pact, consumer-driven contracts, schema evolution
cursor-ecosystem	Cursor IDE docs, CLI, agent, keyword-based search
data-architecture	Data modeling: conceptual, logical, physical, data vault, MDM
documentation-standards	Technical docs: arc42, C4 model, ADRs, RFC process, docs-as-code
duende-ecosystem	Duende IdentityServer, BFF, IdentityModel docs
enterprise-architecture	TOGAF, Zachman, ADRs, cloud alignment
estimation-planning	Project estimation: function points, Monte Carlo, risk assessment, tech debt
event-modeling	Event-driven design: Event Modeling, Event Storming, CQRS, sagas
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
milan-jovanovic	Milan Jovanovic .NET patterns: Clean Architecture, DDD, CQRS, EF Core
observability-planning	Observability design: logs, metrics, traces, SRE practices, incident response
openai-ecosystem	OpenAI Codex CLI docs
product-discovery	Product discovery: Design Thinking, Lean Startup, Design Sprints, JTBD
quality-attributes	NFRs and quality modeling: ISO 25010, FURPS+, SLO/SLI, green software
requirements-elicitation	Requirements gathering: LLMREI interviews, gap analysis, prioritization
response-quality	Response quality standards, source citations
saas-patterns	SaaS architecture: multi-tenancy, billing, compliance, onboarding
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
ux-research	UX research: usability testing, information architecture, accessibility
visualization	Diagrams-as-code (Mermaid, PlantUML)
wardley-mapping	Strategic positioning: value chain visualization, evolution analysis
windows-diagnostics	Windows system diagnostics, troubleshooting

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