writing-adrs

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Format, numbering, and when-to-write criteria for Architecture Decision Records in docs/adr/. Use when recording an architectural decision, when another skill flags a decision as ADR-worthy, or when the user asks to write or review an ADR.

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NPX Install

npx skill4agent add frankify-app/skills writing-adrs

Writing ADRs

ADRs live in
docs/adr/
and use sequential numbering:
0001-slug.md
,
0002-slug.md
, etc.
Create the
docs/adr/
directory lazily — only when the first ADR is needed.

Template

md
# {Short title of the decision}

{1-3 sentences: what's the context, what did we decide, and why.}
That's it. An ADR can be a single paragraph. The value is in recording that a decision was made and why — not in filling out sections.

Optional sections

Only include these when they add genuine value. Most ADRs won't need them.
  • Status frontmatter (
    proposed | accepted | deprecated | superseded by ADR-NNNN
    ) — useful when decisions are revisited
  • Considered Options — only when the rejected alternatives are worth remembering
  • Consequences — only when non-obvious downstream effects need to be called out

Numbering

Scan
docs/adr/
for the highest existing number and increment by one.

When to write an ADR

All three of these must be true:
  1. Hard to reverse — the cost of changing your mind later is meaningful
  2. Surprising without context — a future reader will look at the code and wonder "why on earth did they do it this way?"
  3. The result of a real trade-off — there were genuine alternatives and you picked one for specific reasons
If a decision is easy to reverse, skip it — you'll just reverse it. If it's not surprising, nobody will wonder why. If there was no real alternative, there's nothing to record beyond "we did the obvious thing."

What qualifies

  • Architectural shape. "We're using a monorepo." "The write model is event-sourced, the read model is projected into Postgres."
  • Integration patterns between contexts. "Ordering and Billing communicate via domain events, not synchronous HTTP."
  • Technology choices that carry lock-in. Database, message bus, auth provider, deployment target. Not every library — just the ones that would take a quarter to swap out.
  • Boundary and scope decisions. "Customer data is owned by the Customer context; other contexts reference it by ID only." The explicit no-s are as valuable as the yes-s.
  • Deliberate deviations from the obvious path. "We're using manual SQL instead of an ORM because X." Anything where a reasonable reader would assume the opposite. These stop the next engineer from "fixing" something that was deliberate.
  • Constraints not visible in the code. "We can't use AWS because of compliance requirements." "Response times must be under 200ms because of the partner API contract."
  • Rejected alternatives when the rejection is non-obvious. If you considered GraphQL and picked REST for subtle reasons, record it — otherwise someone will suggest GraphQL again in six months.