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affaan-m/architecture-decision-records

affaan-m

architecture-decision-records

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.

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v1.1Saved Apr 20, 2026

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**Status**: proposed | accepted | deprecated | superseded by ADR-NNNN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:

  1. Initialize (first time only) — if docs/adr/ does not exist, ask the user for confirmation before creating the directory, a README.md seeded with the index table header (see ADR Index Format below), and a blank template.md for manual use. Do not create files without explicit consent.
  2. Identify the decision — extract the core architectural choice being made
  3. Gather context — what problem prompted this? What constraints exist?
  4. Document alternatives — what other options were considered? Why were they rejected?
  5. State consequences — what are the trade-offs? What becomes easier/harder?
  6. Assign a number — scan existing ADRs in docs/adr/ and increment
  7. Confirm and write — present the draft ADR to the user for review. Only write to docs/adr/NNNN-decision-title.md after explicit approval. If the user declines, discard the draft without writing any files.
  8. Update the index — append to docs/adr/README.md

Reading Existing ADRs

When a user asks "why did we choose X?":

  1. Check if docs/adr/ exists — if not, respond: "No ADRs found in this project. Would you like to start recording architectural decisions?"
  2. If it exists, scan docs/adr/README.md index for relevant entries
  3. Read matching ADR files and present the Context and Decision sections
  4. 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
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Overall Score

87/100

Grade

A

Excellent

Safety

92

Quality

88

Clarity

88

Completeness

80

Summary

This skill guides AI agents to capture architectural decisions as structured ADR (Architecture Decision Record) documents during coding sessions. It detects decision moments in conversation, gathers context and alternatives, and helps maintain a decision log that evolves alongside the codebase.

Detected Capabilities

Detect architectural decision moments from conversation patternsParse and structure ADR documents using the Nygard formatCreate and manage ADR directory structure (docs/adr/)Read existing ADR files and search by decision topicMaintain an indexed README of all recorded ADRsTrack ADR lifecycle (proposed → accepted → deprecated/superseded)Present draft ADRs for user review before file writes

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

record architectural decisionadr thiswhy did we chooseframework trade-offtechnology comparisondesign decision rationaledecision alternatives

Use Cases

  • Record a framework or technology choice with alternatives and rationale
  • Document database design decisions and trade-offs
  • Capture architectural pattern choices (monolith vs microservices, REST vs GraphQL)
  • Look up past decisions to understand why the codebase is structured a certain way
  • Maintain a living record of infrastructure and deployment decisions

Quality Notes

  • Clear, well-structured instructions with explicit workflow steps
  • Strong emphasis on user consent before file writes ('Only write... after explicit approval')
  • Comprehensive decision detection signals (explicit and implicit) help agent recognize decision moments
  • Good coverage of edge cases: no ADR directory yet, no matching ADR found, past decisions
  • Well-defined ADR format (Nygard) with clear section requirements
  • Index format and directory structure examples make implementation unambiguous
  • Helpful guidance on what makes a good ADR (do's and don'ts)
  • Decision categories table provides concrete examples across domains
  • ADR lifecycle states (proposed/accepted/deprecated/superseded) are clearly explained
  • Integration suggestions with other skills (planner, code reviewer) show ecosystem awareness
  • One minor gap: no guidance on how to handle ADR numbering conflicts or concurrent creation
Model: claude-haiku-4-5-20251001Analyzed: Apr 20, 2026

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Version History

v1.1

Content updated

2026-04-20

Latest
v1.0

No changelog

2026-04-12

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