adr-creation
Generate Architecture Decision Records following the project template and numbering convention. Use when documenting architecture decisions, technical choices, or when the user asks to create an ADR.
Best use case
adr-creation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate Architecture Decision Records following the project template and numbering convention. Use when documenting architecture decisions, technical choices, or when the user asks to create an ADR.
Teams using adr-creation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adr-creation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adr-creation Compares
| Feature / Agent | adr-creation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate Architecture Decision Records following the project template and numbering convention. Use when documenting architecture decisions, technical choices, or when the user asks to create an ADR.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ADR Creation Skill > **Purpose:** Generate Architecture Decision Records (ADRs) following the project template and numbering convention. ## Trigger **When:** User requests architecture documentation OR major technical decision made **Context Needed:** Decision context, options considered, final decision **MCP Tools:** `mcp_payment-syste_search_full_text`, `read_file` ## ADR Numbering Format: `NNN-SHORT-TITLE.md` ``` 001-AUTH-STRATEGY.md 002-OFFLINE-STRATEGY.md 003-[NEXT-DECISION].md ``` ## Required Sections ```markdown # ADR-NNN: [Title] ## Status [proposed | accepted | rejected | deprecated | superseded] ## Context [What is the issue that we're seeing that motivates this decision?] ## Decision [What is the change that we're proposing and/or doing?] ## Options Considered ### Option 1: [Name] **Pros:** ... **Cons:** ... ### Option 2: [Name] **Pros:** ... **Cons:** ... ## Rationale [Why was this option chosen?] ## Consequences [What becomes easier or more difficult?] ## Related ADRs [Links to related decisions] ``` ## Frontmatter Template ```yaml --- document_type: "adr" module: "architecture" status: "accepted" version: "1.0.0" last_updated: "YYYY-MM-DD" author: "@username" keywords: - "adr" - "[topic]" - "[technology]" related_docs: database_schema: "" api_design: "" adr_metadata: adr_number: NNN decision_date: "YYYY-MM-DD" stakeholders: ["@Architect", "@Backend"] --- ``` ## ADR Categories | Category | Keywords | Example | | :----------- | :----------------- | :------------------------ | | Architecture | pattern, structure | Monolith vs Microservices | | Technology | framework, library | Angular vs React | | Data | database, storage | PostgreSQL vs MongoDB | | Security | auth, encryption | JWT vs Sessions | | Integration | api, protocol | REST vs GraphQL | ## Workflow 1. **Get next number** - Check existing ADRs in `docs/technical/architecture/adr/` 2. **Load template** - Read 02-ADR-TEMPLATE.md 3. **Gather context** - Document the problem 4. **List options** - At least 2 alternatives 5. **Document decision** - Clear statement 6. **Explain rationale** - Why this choice? 7. **Create file** - `docs/technical/architecture/adr/NNN-TITLE.md` ## Reference - [02-ADR-TEMPLATE.md](/docs/templates/02-ADR-TEMPLATE.md) - [001-AUTH-STRATEGY.md](/docs/technical/architecture/adr/001-AUTH-STRATEGY.md) - [002-OFFLINE-STRATEGY.md](/docs/technical/architecture/adr/002-OFFLINE-STRATEGY.md)
Related Skills
ontopo
An AI agent skill to search for Israeli restaurants, check table availability, view menus, and retrieve booking links via the Ontopo platform, acting as an unofficial interface to its data.
chrome-debug
This skill empowers AI agents to debug web applications and inspect browser behavior using the Chrome DevTools Protocol (CDP), offering both collaborative (headful) and automated (headless) modes.
modal-deployment
Run Python code in the cloud with serverless containers, GPUs, and autoscaling using Modal. This skill enables agents to generate code for deploying ML models, running batch jobs, serving APIs, and scaling compute-intensive workloads.
grail-miner
This skill assists in setting up, managing, and optimizing Grail miners on Bittensor Subnet 81, handling tasks like environment configuration, R2 storage, model checkpoint management, and performance tuning.
astro
This skill provides essential Astro framework patterns, focusing on server-side rendering (SSR), static site generation (SSG), middleware, and TypeScript best practices. It helps AI agents implement secure authentication, manage API routes, and debug rendering behaviors within Astro projects.
vly-money
Generate crypto payment links for supported tokens and networks, manage access to X402 payment-protected content, and provide direct access to the vly.money wallet interface.
thor-skills
An entry point and router for AI agents to manage various THOR-related cybersecurity tasks, including running scans, analyzing logs, troubleshooting, and maintenance.
tech-blog
Generates comprehensive technical blog posts, offering detailed explanations of system internals, architecture, and implementation, either through source code analysis or document-driven research.
whisper-transcribe
Transcribes audio and video files to text using OpenAI's Whisper CLI, enhanced with contextual grounding from local markdown files for improved accuracy.
ux
This AI agent skill provides comprehensive guidance for creating professional and insightful User Experience (UX) designs, covering user research, information architecture, interaction design, visual guidance, and usability evaluation. It aims to produce actionable, user-centered solutions that avoid generic AI aesthetics.
lets-go-rss
A lightweight, full-platform RSS subscription manager that aggregates content from YouTube, Vimeo, Behance, Twitter/X, and Chinese platforms like Bilibili, Weibo, and Douyin, featuring deduplication and AI smart classification.
advanced-skill-creator
Meta-skill that generates domain-specific skills using advanced reasoning techniques. PROACTIVELY activate for: (1) Create/build/make skills, (2) Generate expert panels for any domain, (3) Design evaluation frameworks, (4) Create research workflows, (5) Structure complex multi-step processes, (6) Instantiate templates with parameters. Triggers: "create a skill for", "build evaluation for", "design workflow for", "generate expert panel for", "how should I approach [complex task]", "create skill", "new skill for", "skill template", "generate skill"