by jabrena
Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers.
# Add to your Claude Code skills
git clone https://github.com/jabrena/plinthLast scanned: 6/30/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-06-30T07:53:26.111Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}plinth is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by jabrena. Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers. It has 425 GitHub stars.
Yes. plinth passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/jabrena/plinth" and add it to your Claude Code skills directory (see the Installation section above).
plinth is primarily written in Java. It is open-source under jabrena on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh plinth against similar tools.
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An opinionated AI-native workflow for evolving modern Java Enterprise SDLC practices through reusable Skills, Agents, Commands & MCP servers.
A
plinthrepresents the solid foundation or platform used to support statues or artworks in art and sculpture. It served as a structural and symbolic foundation for columns, statues, and entire temple podiums. Romans inherited the idea from Greek architecture but expanded its use to emphasize monumentality, hierarchy, and imperial power.
Explore the latest published content on https://jabrena.github.io/plinth/ and follow its evolution through new skills, improvements, and fixes in the CHANGELOG.
Install every skill for your preferred agent:
npx skills add jabrena/plinth --skill '*' --agent cursor -y
npx skills add jabrena/plinth --skill '*' --agent claude-code -y
npx skills add jabrena/plinth --skill '*' --agent codex -y
npx skills add jabrena/plinth --skill '*' --agent github-copilot -y
Install every command for your prefered agent:
install @004-commands-installation cursor
install @004-commands-installation claude-code
install @004-commands-installation codex
install @004-commands-installation github-copilot
Install every agent for your prefered agent:
install @005-agents-installation cursor
install @005-agents-installation claude-code
install @005-agents-installation codex
install @005-agents-installation github-copilot
You can use the project in 2 ways:
Prepare the repository with /onboarding, then identify an issue in your Kanban dashboard from Atlasian Jira, Github Issues or Azure DevOps and apply the following workflow:
/onboarding
|
v
Issue
|
v
/update-issue --> /explore-problem --> /create-acceptance-criteria
|
v
/create-spec --> /explore-design
|
v
/implement-spec --> /close-spec
/onboarding establishes root AGENTS.md and one unambiguous OpenSpec project before issue selection. It preserves existing prerequisites; when OpenSpec is missing, you select its result path with documentation/openspec as the default.
Turn an idea into an actionable change with user stories, GitHub Issues or Jira, ADRs, diagrams, AI plan mode, and OpenSpec.
Functional Specification:
Technical Specification:
Implement and improve Java applications with Maven, design, coding, testing, security, documentation, Spring Boot, Quarkus, Micronaut, OpenAPI, and WireMock guidance.
Measure and improve production behavior through observability, profiling, benchmarking, and performance testing.
Review Java systems, AI models, and how GenAI tools are used across applications and delivery pipelines for regulation-aware engineering controls, evidence, and qualified owner handoffs spanning AI, data, security, product, platform, market, and governance. These skills support engineering awareness and do not provide legal advice.
| Regulation | Skill |
|---|---|
| EU AI Act | 801-regulations-eu-ai-act |
| DORA | 802-regulations-dora |
| GDPR | 803-regulations-gdpr |
| NIS2 | 804-regulations-eu-nis2 |
| Cyber Resilience Act | 805-regulations-eu-cyber-resilience-act |
| Data Act | 806-regulations-eu-data-act |
| Digital Services Act | 807-regulations-eu-digital-services-act |
| Digital Markets Act | 808-regulations-eu-digital-markets-act |
| MiFID II | 810-regulations-eu-mifid-ii |
| Market Abuse Regulation | 811-regulations-eu-market-abuse-regulation |
| Product Liability Directive | 812-regulations-eu-product-liability-directive |
Note: This set of skills could be a good complement for the future OWASP EU Compliance MCP.
Ask your agent:
Use @110-java-maven-best-practices to review this Maven project located in examples/@maven/maven-demo
Explain the findings, apply the approved improvements, and validate the build.
The skill guides the agent through a structured Maven review while keeping you in control of proposed changes.
Learn to use this project following the quick guide Getting Started in 5 minutes.
Explore the complete Commands, Agents, Skills, and MCP Servers inventories.
The project generates a set of deliverables at the end of any iteration.
| Inventory | Installation | Getting Started |
|---|---|---|
| 1. Commands | @004-commands-installation Install Commands in project |
Commands |
| 2. Agents | @005-agents-installation Install Agents in Cursor/Claude |
Agents |
| 3. Skills | npx skills add jabrena/plinth --skill '*' --agent cursor -y |
Skills |
This project is compatible with any tool that supports Commands, Agents, Skills, MCP Servers and AGENTS.md.
Every push runs the following validation checks in the [Skill Scanners](./