Choosing a queue: Redis streams vs RabbitMQ vs SQS for 2k jobs/min, team of 4, on AWS
You get
Decision: Amazon SQS.
Why: managed, scales past 2k/min, the team already runs on AWS.
Harder: local development needs LocalStack. Revisit if we leave AWS.
About this skill
About Architecture decision record
Big technical decisions made in meetings are forgotten within a year and argued all over again. This skill records them as an architecture decision record in Michael Nygard's format: the context and constraints, the options compared on the criteria that matter, the decision and its main reason, and the consequences — what becomes easier, what becomes harder and when to revisit. Numbers you haven't measured are marked as estimates. Commit the record next to the code and future engineers, including you, will know why the system looks the way it does.
Architecture decision record — example input and the first lines it returns. Works in ChatGPT, Claude and Gemini.
2 Paste it into a new chatChatGPT, Claude, Gemini or Copilot.
3 Send your inputSend the decision you're making.
The skill — paste this into your AI assistant
# Skill: Architecture decision record
You are running the "Architecture decision record" skill for me. I work as: Tech lead / architect. What I need from you: an ADR with context, options considered, the decision and its consequences, ready to commit.
## When I send you the decision I'm making, the options I considered and the constraints (team, budget, scale, deadline)
1. State the problem and constraints.
2. Compare options on the criteria that matter for this decision.
3. Record the decision and the main reason.
4. List consequences: what gets easier, what gets harder, when to revisit.
## Reply in this format
- Title and status
- Context
- Options table
- Decision
- Consequences
- Revisit when
## Rules
- Follow the Michael Nygard ADR format.
- Don't invent benchmarks; mark numbers as estimates.
- Use only the facts I give you; mark anything you had to assume with [ASSUMPTION].
- If something essential is missing, ask me one short question, then continue.
- No preamble or filler: start with the result.
Confirm you're ready in one line, then wait for me to send the decision I'm making, the options I considered and the constraints (team, budget, scale, deadline).
Then sendThe decision you're making, the options you considered and the constraints (team, budget, scale, deadline). For example: Choosing a queue: Redis streams vs RabbitMQ vs SQS for 2k jobs/min, team of 4, on AWS
ChatGPT
Fastest: paste the skill as your first message in a new chat, then send your input.
To keep it: open a Project, choose Instructions (or Settings → Personalization → Custom instructions for every chat) and paste it there.
To share it with a team: create a custom GPT and paste the skill into its Instructions.
In the Codex app: copy the skill's folder into ~/.codex/skills/ (or Customize → Skills → Add → Create skill).
Claude
Fastest: paste the skill as your first message in a new chat, then send your input.
To keep it: create a Project, open Project instructions and paste the skill.
As a Claude Skill: download the skill's ZIP, then in Claude open Settings → Skills → Add → Upload skill and choose the file.
Gemini
Fastest: paste the skill as your first message in a new chat, then send your input.
To keep it: open Gems → New Gem, paste the skill into Instructions and save.
Microsoft Copilot
Fastest: paste the skill as your first message, then send your input.
In Microsoft 365 Copilot, save it as a prompt or paste it into an agent's instructions to reuse it.
Any other assistant
Paste the skill as the system prompt or first message in any chat assistant (Perplexity, Meta AI, DeepSeek, Mistral, local models).
Coding agents that read the Agent Skills format (SKILL.md) can load the downloaded file from their skills folder.
Install it permanently
Upload it to Claude, add it to ChatGPT's Codex app, clone it into Claude Code, or download the SKILL.md for any agent. Full guide with screenshots →
Download the ZIP and upload it in Claude. Claude then uses the skill on its own whenever a request matches.
Claude Code: save it as ~/.claude/skills/architecture-decision-record/SKILL.md.
Claude apps: use the Claude app tab — it has a ready-made ZIP.
Other agents: place the folder wherever your tool loads Agent Skills from.
Repositoryscienceofapps.com/skills/ai-skills.git · all 200 skills, one folder each, plain git over HTTPS
What it does
The steps it follows
State the problem and constraints.
Compare options on the criteria that matter for this decision.
Record the decision and the main reason.
List consequences: what gets easier, what gets harder, when to revisit.
What you get back
The reply format
Title and status
Context
Options table
Decision
Consequences
Revisit when
Rules it never breaks
Follow the Michael Nygard ADR format.
Don't invent benchmarks; mark numbers as estimates.
Uses only the facts you give it and marks assumptions.
FAQs
Questions about Architecture decision record
What does the Architecture decision record skill do?
Big technical decisions get made in meetings and forgotten, so the team re-argues them a year later. The skill fixes that: an ADR with context, options considered, the decision and its consequences, ready to commit.
How do I install Architecture decision record in ChatGPT, Claude or Gemini?
Copy the skill and paste it as the first message of a new chat, then send your input. To keep it, paste it into a ChatGPT Project or custom GPT, a Claude Project or a Gemini Gem, or upload the SKILL.md file as a Claude Skill.
What do I send Architecture decision record after installing it?
Send the decision you're making, the options you considered and the constraints (team, budget, scale, deadline). If something essential is missing, the skill asks you one short question and then continues.
Is the Architecture decision record skill free?
Yes. It's free to copy, use and adapt, with no sign-up, and works in the free versions of ChatGPT, Claude, Gemini and Copilot.
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