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plinth

Skill Productivity Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces context-switching and manual boilerplate in Java Enterprise projects by embedding AI agents directly into development workflows, enabling faster iter…

An opinionated, AI-native development workflow for Java Enterprise — reusable Skills, Agents, Commands, and MCP servers combined with a human-in-the-loop model to modernize real-world SDLC practices.

423 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces context-switching and manual boilerplate in Java Enterprise projects by embedding AI agents directly into development workflows, enabling faster iteration while maintaining human oversight for critical decisions.

Java enterprise teams seeking to integrate AI-assisted development with existing SDLC practices and governance requirements.

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https://github.com/jabrena/plinth

By jabrena

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx skills add jabrena/cursor-rules-java --skill '*' --agent claude-code -y

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me automate repetitive Java Enterprise development tasks using reusable Skills and Agents
CostFree

Trust Signals Auto-scanned

Stars423Contributors4Last updated2026-08-11LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Community Pulse Quiet

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 413 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 413 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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