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Architecture Decision Records

  • 247 installs
  • 655 repo stars
  • Updated August 2, 2026
  • spencerpauly/awesome-cursor-skills

Helps with ai & agent building tasks.

About

architecture-decision-records is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • architecture-decision-records
  • AI & Agent Building
  • AI-coding skill

Architecture Decision Records by the numbers

  • 247 all-time installs (skills.sh)
  • +30 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #2,584 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs247
repo stars655
Last updatedAugust 2, 2026
Repositoryspencerpauly/awesome-cursor-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Architecture Decision Records

Document significant technical decisions so future you (and your team) understands why choices were made.

When to Write an ADR

Write one when you're making a decision that:

  • Is hard to reverse later
  • Affects multiple parts of the system
  • Involves tradeoffs between valid options
  • Will be questioned by someone in 6 months

Examples: choosing a database, adopting a framework, changing auth strategy, restructuring the API, adding a build tool.

Template

Create files in docs/decisions/ (or adr/) with sequential numbering:

# ADR-001: Use PostgreSQL for primary database

## Status

Accepted | Proposed | Deprecated | Superseded by ADR-XXX

## Date

2026-04-10

## Context

What is the problem or situation that requires a decision?
Include constraints, requirements, and forces at play.

## Options Considered

### Option A: PostgreSQL
- Pros: ACID compliance, JSON support, mature ecosystem, free
- Cons: Requires managing connections, vertical scaling limits

### Option B: MongoDB
- Pros: Flexible schema, horizontal scaling
- Cons: No transactions across collections, eventual consistency issues

### Option C: PlanetScale (MySQL)
- Pros: Serverless, branching, managed
- Cons: Vendor lock-in, no foreign keys in their branching model

## Decision

We chose **PostgreSQL** because:
1. Our data is relational — users, teams, projects with clear relationships
2. We need ACID transactions for billing operations
3. JSON columns give us schema flexibility where needed
4. Prisma/Drizzle have excellent Postgres support

## Consequences

- We need to manage connection pooling (use PgBouncer or Prisma's built-in pool)
- Migrations must be backwards-compatible for zero-downtime deploys
- We accept vertical scaling limits and will shard later if needed

Workflow

1. Identify the decision being made 2. Research the options (at least 2-3 alternatives) 3. Write the ADR using the template 4. Review with the team (PR or discussion) 5. Merge as accepted 6. Reference from code comments when relevant: // See ADR-001

File Naming

docs/decisions/
├── 001-use-postgresql.md
├── 002-adopt-trpc-over-rest.md
├── 003-switch-to-pnpm.md
└── template.md

Tips

  • Keep ADRs short — 1-2 pages max
  • Write them in the present tense ("We choose X" not "We chose X")
  • It's OK to write an ADR after the fact if you forgot to write one during the decision
  • Superseded ADRs should link to their replacement, not be deleted
  • ADRs are not design docs — they capture the decision, not the full design

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