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jabrena/plinth

Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers.

plinth 是什么?

plinth is a Claude Code agent skill that plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers.

兼容平台~Claude Code~Codex CLI~Cursor
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AGENTS.md Generator for Java repositories

Generate a comprehensive AGENTS.md file for Java repositories through a modular, step-based interactive process that covers role definition, tech stack, file structure, commands, Git workflow, and contributor boundaries. This is an interactive SKILL.

What is covered in this Skill?

  • AGENTS.md generation for Java repositories of any complexity
  • Role and expertise definition for AI agents and contributors
  • Tech stack documentation: language, build tool, frameworks, pipelines
  • File structure mapping with read/write boundaries
  • Command catalogue for build/test/deploy/run workflows
  • Git workflow conventions: branching strategy, commit message format
  • Contributor boundaries using ✅ Always do / ⚠ Ask first / 🚫 Never do formatting

Constraints

No Maven validation is required before generating AGENTS.md. Review the project structure and existing documentation before starting to provide accurate answers during Step 1.

  • BEFORE STARTING: Review the project structure and existing documentation to provide accurate answers during Step 1
  • BEFORE APPLYING: Read the reference for detailed good/bad examples, constraints, and safeguards for each AGENTS.md generation pattern
  • EDGE CASE: If the user goal is ambiguous, stop and ask a clarifying question before editing files or running project-wide commands
  • EDGE CASE: If required context, files, credentials, or tools are missing, report the blocker explicitly and ask whether to proceed with setup or fallback guidance
  • EDGE CASE: If requested changes conflict with project constraints or safety boundaries, explain the conflict and ask for user confirmation on the preferred trade-off

When to use this skill

  • Create AGENTS.md
  • Update AGENTS.md file
  • Add agent instructions
  • Generate contributor instructions for Java agents
  • Document repository conventions in AGENTS.md

Workflow

  1. Review repository context before drafting

Inspect project structure and existing documentation to prepare accurate responses for the AGENTS.md discovery phase.

  1. Read AGENTS generation reference

Read references/200-agents-md.md and follow its generation patterns and safeguards.

  1. Run interactive requirements capture

Gather role, tech stack, commands, workflow, and boundaries in a modular step-based conversation.

  1. Generate AGENTS.md artifact

Create AGENTS.md with ✅ Always do / ⚠ Ask first / 🚫 Never do boundaries and repository-specific conventions.

Reference

For detailed guidance, examples, and constraints, see references/200-agents-md.md.

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