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030 Architecture Adr General

Community
jabrena
030-architecture-adr-general

Use when you need to generate Architecture Decision Records (ADRs) for a Java project through an interactive, conversational process that systematically gathers context, stakeholders, options, and outcomes to produce well-structured ADR documents. This should trigger for requests such as Generate ADR; Create Architecture Decision Record; Document architecture decision; Architecture Decision Record for Java. Part of Plinth Toolkit

Overview

Publisherjabrena
Repositoryplinth
Skill name030-architecture-adr-general
Stars
455
Forks
95
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jabrena on GitHub. Read the source before you install it.

Installation

Install the 030 Architecture Adr General AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jabrena/plinth/tree/main/skills/030-architecture-adr-general
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jabrena/plinth.git /tmp/plinth
mkdir -p .claude/skills
cp -r /tmp/plinth/skills/030-architecture-adr-general .claude/skills/030-architecture-adr-general
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 030 Architecture Adr General in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 030 Architecture Adr General on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 030 Architecture Adr General is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Java ADR Generator with interactive conversational approach

Generate Architecture Decision Records (ADRs) for Java projects through an interactive, conversational process that elicits the decision inputs needed for a well-structured ADR. This is an interactive SKILL. Use only the current conversation and repository files explicitly available in the current session; do not expose, persist, or reuse unrelated user/project context.

What is covered in this Skill?

  • ADR file storage configuration
  • Conversational information gathering: context, stakeholders, decision drivers, options with pros/cons, outcome, consequences
  • MADR template generation

Constraints

Handle ambiguity and blockers explicitly to avoid implicit assumptions.

  • 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

  • Generate ADR
  • Create Architecture Decision Record
  • Document architecture decision
  • Architecture Decision Record for Java
  • Write ADR
  • Document technical decision
  • Architecture documentation
  • Record design decision
  • Technology choice documentation
  • Framework selection ADR
  • Database choice ADR
  • Architectural trade-offs
  • Technical alternatives evaluation
  • Why did we choose
  • Deployment strategy ADR
  • Infrastructure choice
  • Vendor selection ADR

Workflow

  1. Load ADR reference and elicit decision inputs

Load references/030-architecture-adr-general.md from this skill, then elicit stakeholders, decision drivers, options, and trade-offs through the current conversation only.

  1. Synthesize and confirm decision

Summarize recommended option, rationale, and consequences, and confirm alignment with the user before creating the ADR artifact.

  1. Generate ADR output

Create a MADR-style ADR document with the final decision, alternatives, consequences, and follow-up actions.

Reference

For detailed guidance, examples, and constraints, see references/030-architecture-adr-general.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the 030 Architecture Adr General AI skill do?

Use when you need to generate Architecture Decision Records (ADRs) for a Java project through an interactive, conversational process that systematically gathers context, stakeholders, options, and outcomes to produce well-structured ADR documents. This should trigger for requests such as Generate ADR; Create Architecture Decision Record; Document architecture decision; Architecture Decision Record for Java. Part of Plinth Toolkit

Why use 030 Architecture Adr General on TypingMind?

Because you install it once and use it with any model. 030 Architecture Adr General is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 030 Architecture Adr General in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jabrena/plinth/tree/main/skills/030-architecture-adr-general. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 030 Architecture Adr General?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 030 Architecture Adr General?

As many as you like. As long as a model supports skills, you can use 030 Architecture Adr General with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 030 Architecture Adr General AI skill free?

Yes. It is published on GitHub by jabrena under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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