Architecture decision records
Skill loulanyue/awesome-claude-notes/skills/architecture-decision-records
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Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
SKILL.md
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Architecture Decision Records
Capture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.
When to Activate
- User explicitly says "let's record this decision" or "ADR this"
- User chooses between significant alternatives (framework, library, pattern, database, API design)
- User says "we decided to..." or "the reason we're doing X instead of Y is..."
- User asks "why did we choose X?" (read existing ADRs)
- During planning phases when architectural trade-offs are discussed
ADR Format
Use the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:
# ADR-NNNN: [Decision Title]
**Date**: YYYY-MM-DD
**Status**: proposed | accepted | deprecated | superseded by ADR-NNNN
**Deciders**: [who was involved]
## Context
What is the issue that we're seeing that is motivating this decision or change?
[2-5 sentences describing the situation, constraints, and forces at play]
## Decision
What is the change that we're proposing and/or doing?
[1-3 sentences stating the decision clearly]
## Alternatives Considered
### Alternative 1: [Name]
- **Pros**: [benefits]
- **Cons**: [drawbacks]
- **Why not**: [specific reason this was rejected]
### Alternative 2: [Name]
- **Pros**: [benefits]
- **Cons**: [drawbacks]
- **Why not**: [specific reason this was rejected]
## Consequences
What becomes easier or more difficult to do because of this change?
### Positive
- [benefit 1]
- [benefit 2]
### Negative
- [trade-off 1]
- [trade-off 2]
### Risks
- [risk and mitigation]
Workflow
Capturing a New ADR
When a decision moment is detected:
- Initialize (first time only) — if
docs/adr/does not exist, ask the user for confirmation before creating the directory, aREADME.mdseeded with the index table header (see ADR Index Format below), and a blanktemplate.mdfor manual use. Do not create files without explicit consent. - Identify the decision — extract the core architectural choice being made
- Gather context — what problem prompted this? What constraints exist?
- Document alternatives — what other options were considered? Why were they rejected?
- State consequences — what are the trade-offs? What becomes easier/harder?
- Assign a number — scan existing ADRs in
docs/adr/and increment - Confirm and write — present the draft ADR to the user for review. Only write to
docs/adr/NNNN-decision-title.mdafter explicit approval. If the user declines, discard the draft without writing any files. - Update the index — append to
docs/adr/README.md
Reading Existing ADRs
When a user asks "why did we choose X?":
- Check if
docs/adr/exists — if not, respond: "No ADRs found in this project. Would you like to start recording architectural decisions?" - If it exists, scan
docs/adr/README.mdindex for relevant entries - Read matching ADR files and present the Context and Decision sections
- If no match is found, respond: "No ADR found for that decision. Would you like to record one now?"
ADR Directory Structure
docs/
└── adr/
├── README.md ← index of all ADRs
├── 0001-use-nextjs.md
├── 0002-postgres-over-mongo.md
├── 0003-rest-over-graphql.md
└── template.md ← blank template for manual use
ADR Index Format
# Architecture Decision Records
| ADR | Title | Status | Date |
|-----|-------|--------|------|
| [0001](0001-use-nextjs.md) | Use Next.js as frontend framework | accepted | 2026-01-15 |
| [0002](0002-postgres-over-mongo.md) | PostgreSQL over MongoDB for primary datastore | accepted | 2026-01-20 |
| [0003](0003-rest-over-graphql.md) | REST API over GraphQL | accepted | 2026-02-01 |
Decision Detection Signals
Watch for these patterns in conversation that indicate an architectural decision:
Explicit signals
- "Let's go with X"
- "We should use X instead of Y"
- "The trade-off is worth it because..."
- "Record this as an ADR"
Implicit signals (suggest recording an ADR — do not auto-create without user confirmation)
- Comparing two frameworks or libraries and reaching a conclusion
- Making a database schema design choice with stated rationale
- Choosing between architectural patterns (monolith vs microservices, REST vs GraphQL)
- Deciding on authentication/authorization strategy
- Selecting deployment infrastructure after evaluating alternatives
What Makes a Good ADR
Do
- Be specific — "Use Prisma ORM" not "use an ORM"
- Record the why — the rationale matters more than the what
- Include rejected alternatives — future developers need to know what was considered
- State consequences honestly — every decision has trade-offs
- Keep it short — an ADR should be readable in 2 minutes
- Use present tense — "We use X" not "We will use X"
Don't
- Record trivial decisions — variable naming or formatting choices don't need ADRs
- Write essays — if the context section exceeds 10 lines, it's too long
- Omit alternatives — "we just picked it" is not a valid rationale
- Backfill without marking it — if recording a past decision, note the original date
- Let ADRs go stale — superseded decisions should reference their replacement
ADR Lifecycle
proposed → accepted → [deprecated | superseded by ADR-NNNN]
- proposed: decision is under discussion, not yet committed
- accepted: decision is in effect and being followed
- deprecated: decision is no longer relevant (e.g., feature removed)
- superseded: a newer ADR replaces this one (always link the replacement)
Categories of Decisions Worth Recording
| Category | Examples |
|---|---|
| Technology choices | Framework, language, database, cloud provider |
| Architecture patterns | Monolith vs microservices, event-driven, CQRS |
| API design | REST vs GraphQL, versioning strategy, auth mechanism |
| Data modeling | Schema design, normalization decisions, caching strategy |
| Infrastructure | Deployment model, CI/CD pipeline, monitoring stack |
| Security | Auth strategy, encryption approach, secret management |
| Testing | Test framework, coverage targets, E2E vs integration balance |
| Process | Branching strategy, review process, release cadence |
Integration with Other Skills
- Planner agent: when the planner proposes architecture changes, suggest creating an ADR
- Code reviewer agent: flag PRs that introduce architectural changes without a corresponding ADR
Gives 0 of the 12 instructions most architecture codebase skills give in ~1.6k tokens
Counted across 811 of the 1,134 authors here whose files we hold, read 2026-08-06
- ask the user which candidate to explorein 46 of 811, across 16 files
- apply the deletion test to suspected shallow modulesin 43 of 811, across 15 files
- read any relevant architecture decision records firstin 31 of 811, across 7 files
- use exact glossary terms in every suggestionin 29 of 811, across 9 files
- accept dependencies instead of creating themin 24 of 811, across 5 files
- include before and after visualisations for each candidatein 24 of 811, across 5 files
- read the domain glossary before exploringin 24 of 811, across 6 files
- return results instead of producing side effectsin 23 of 811, across 4 files
- explore the codebase for shallow modules and frictionin 23 of 811, across 3 files
- introduce seams only where things varyin 22 of 811, across 3 files
- reduce the number of methodsin 21 of 811, across 2 files
- design deep modules with small interfacesin 21 of 811, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.