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Architecture Decision Record

Community
yonatangross
architecture-decision-record

ADR templates in the Nygard format with context, decision, consequences, and alternatives. Use when writing ADRs, recording an architectural decision, or evaluating options.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namearchitecture-decision-record
Stars
298
Forks
35
Bundled files
16
LicenseMIT
Links
  • 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.

  • 16 bundled files

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

  • Open source

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

Installation

Install the Architecture Decision Record 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/architecture-decision-record
  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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/architecture-decision-record .claude/skills/architecture-decision-record
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Architecture Decision Record 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 Architecture Decision Record 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 Architecture Decision Record 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.

Architecture Decision Records

Architecture Decision Records (ADRs) are lightweight documents that capture important architectural decisions along with their context and consequences. This skill provides templates, examples, and best practices for creating and maintaining ADRs in your projects.

Overview

  • Making significant technology choices (databases, frameworks, cloud providers)
  • Designing system architecture or major components
  • Establishing patterns or conventions for the team
  • Evaluating trade-offs between multiple approaches
  • Documenting decisions that will impact future development

Why ADRs Matter

ADRs serve as architectural memory for your team:

  • Context Preservation: Capture why decisions were made, not just what was decided
  • Onboarding: Help new team members understand architectural rationale
  • Prevent Revisiting: Avoid endless debates about settled decisions
  • Track Evolution: See how architecture evolved over time
  • Accountability: Clear ownership and decision timeline

ADR Format (Nygard Template)

Each ADR should follow this structure:

1. Title

Format: ADR-####: [Decision Title] Example: ADR-0001: Adopt Microservices Architecture

2. Status

Current state of the decision:

  • Proposed: Under consideration
  • Accepted: Decision approved and being implemented
  • Superseded: Replaced by a later decision (reference ADR number)
  • Deprecated: No longer recommended but not yet replaced
  • Rejected: Considered but not adopted (document why)

3. Context

What to include:

  • Problem statement or opportunity
  • Business/technical constraints
  • Stakeholder requirements
  • Current state of the system
  • Forces at play (conflicting concerns)

4. Decision

What to include:

  • The choice being made
  • Key principles or patterns to follow
  • What will change as a result
  • Who is responsible for implementation

Be specific and actionable:

  • ✅ "We will adopt microservices architecture using Node.js with Express"
  • ❌ "We will consider using microservices"

5. Consequences

What to include:

  • Positive outcomes (benefits)
  • Negative outcomes (costs, risks, trade-offs)
  • Neutral outcomes (things that change but aren't clearly better/worse)

6. Alternatives Considered

Document at least 2 alternatives:

For each alternative, explain:

  • What it was
  • Why it was considered
  • Why it was not chosen

7. References (Optional)

Links to relevant resources:

  • Meeting notes or discussion threads
  • Related ADRs
  • External research or articles
  • Proof of concept implementations

ADR Lifecycle

Proposed → Accepted → [Implemented] → (Eventually) Superseded/Deprecated
          ↓
      Rejected

Best Practices

1. Keep ADRs Immutable

Once accepted, don't edit ADRs. Create new ADRs that supersede old ones.

  • ✅ Create ADR-0015 that supersedes ADR-0003
  • ❌ Update ADR-0003 with new decisions

2. Write in Present Tense

ADRs are historical records written as if the decision is being made now.

  • ✅ "We will adopt microservices"
  • ❌ "We adopted microservices"

3. Focus on 'Why', Not 'How'

ADRs capture decisions, not implementation details.

  • ✅ "We chose PostgreSQL for relational consistency"
  • ❌ "Configure PostgreSQL with these specific settings..."

4. Review ADRs as Team

Get input from relevant stakeholders before accepting.

  • Architects: Technical viability
  • Developers: Implementation feasibility
  • Product: Business alignment
  • DevOps: Operational concerns

5. Number Sequentially

Use 4-digit zero-padded numbers: ADR-0001, ADR-0002, etc. Maintain a single sequence even with multiple projects.

6. Store in Git

Keep ADRs in version control alongside code:

  • Location: /docs/adr/ or /architecture/decisions/
  • Format: Markdown for easy reading
  • Branch: Same branch as implementation

Quick Start Checklist

Option 1: Use Script-Enhanced Generator (Recommended)

  • Run /create-adr [number] [title] to generate ADR with auto-filled context
  • ADR number, date, and author are auto-populated
  • Review and fill in decision details
  • Set Status to "Proposed" and review with team

Option 2: Use Static Template

  • Copy ADR template from assets/adr-template.md
  • Assign next sequential number (check existing ADRs)
  • Fill in Context: problem, constraints, requirements
  • Document Decision: what, why, how, who
  • List Consequences: positive, negative, neutral
  • Describe at least 2 Alternatives: what, pros/cons, why not chosen
  • Add References: discussions, research, related ADRs
  • Set Status to "Proposed"
  • Review with team
  • Update Status to "Accepted" after approval
  • Link ADR in implementation PR
  • Update Status to "Implemented" after deployment

Available Scripts

  • scripts/create-adr.md - Dynamic ADR generator with auto-filled context
    • Auto-fills: ADR number, date, author, total ADRs count
    • Usage: /create-adr [number] [title]
    • Uses $ARGUMENTS and !command for dynamic context
  • assets/adr-template.md - Static template for manual use

Rules Quick Reference

RuleImpactWhat It Covers
interrogation-scalabilityHIGHScale questions, data volume, growth projections
interrogation-reliabilityHIGHData patterns, UX impact, coherence validation
interrogation-securityHIGHAccess control, tenant isolation, attack surface

Common Pitfalls to Avoid

❌ Too Technical: "We'll use Kubernetes with these 50 YAML configs..." ✅ Right Level: "We'll use Kubernetes for container orchestration because..."

❌ Too Vague: "We'll use a better database" ✅ Specific: "We'll use PostgreSQL 15+ for transactional data because..."

❌ No Alternatives: Only documenting the chosen solution ✅ Comparative: Document why alternatives weren't chosen

❌ Missing Consequences: Only listing benefits ✅ Balanced: Honest about costs and trade-offs

❌ No Context: "We decided to use Redis" ✅ Contextual: "Given our 1M+ concurrent users and sub-50ms latency requirement..."

Related Skills

  • ork:api-design: Use when designing APIs referenced in ADRs
  • ork:database-patterns: Use when ADR involves database choices
  • security-checklist: Consult when ADR has security implications

Skill Version: 2.0.0 Last Updated: 2026-01-08 Maintained by: OrchestKit

Capability Details

adr-creation

Keywords: adr, architecture decision, decision record, document decision Solves:

  • How do I document an architectural decision?
  • Create an ADR
  • Architecture decision template

adr-best-practices

Keywords: when to write adr, adr lifecycle, adr workflow, adr process, adr review, quantify impact Solves:

  • When should I write an ADR?
  • How do I manage ADR lifecycle?
  • What's the ADR review process?
  • How to quantify decision impact?
  • ADR anti-patterns to avoid
  • Link related ADRs

tradeoff-analysis

Keywords: tradeoff, pros cons, alternatives, comparison, evaluate options Solves:

  • How do I analyze tradeoffs?
  • Compare architectural options
  • Document alternatives considered

consequences

Keywords: consequence, impact, risk, benefit, outcome Solves:

  • What are the consequences of this decision?
  • Document decision impact
  • Risk and benefit analysis

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 Architecture Decision Record AI skill do?

ADR templates in the Nygard format with context, decision, consequences, and alternatives. Use when writing ADRs, recording an architectural decision, or evaluating options.

Why use Architecture Decision Record on TypingMind?

Because you install it once and use it with any model. Architecture Decision Record 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 Architecture Decision Record in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/architecture-decision-record. 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 Architecture Decision Record?

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 Architecture Decision Record?

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

Is the Architecture Decision Record AI skill free?

Yes. It is published on GitHub by yonatangross under the MIT 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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