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Document decisions, not just implementations. ADRs for architectural choices, inline docs for non-obvious code, and runbooks for operational knowledge.

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$ npx -y skills add DevelopersGlobal/ai-agent-skills --skill documentation --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/documentation
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Document decisions, not just implementations. ADRs for architectural choices, inline docs for non-obvious code, and runbooks for operational knowledge.

SKILL.md

documentation.SKILL.md
name: documentation
description: Document decisions, not just implementations. ADRs for architectural choices, inline docs for non-obvious code, and runbooks for operational knowledge.
category: review
applies-to: [claude, gemini, cursor, copilot, any]
version: 1.0.0

Overview

Code explains what. Documentation explains why. The most valuable documentation records decisions that aren't obvious from reading the code: why this architecture, why this tradeoff, why not the obvious alternative.

When to Use

  • After any significant architectural decision
  • Before complex code that future maintainers will question
  • When an operational procedure isn't self-evident
  • When a non-obvious tradeoff was made

Process

Step 1: Architectural Decision Records (ADRs)

For every significant architectural decision: 1. Write an ADR with:

  • **Context**: What was the situation requiring a decision?
  • **Decision**: What was decided?
  • **Alternatives considered**: What else was evaluated and why rejected?
  • **Consequences**: What are the positive and negative consequences?
  • **Status**: Proposed | Accepted | Deprecated | Superseded

2. Store ADRs in `docs/decisions/` as numbered markdown files.

**Verify:** Every significant decision in the last sprint has an ADR.

Step 2: Code-Level Documentation

3. Document the WHY, not the WHAT:

  • ✅ `// Using exponential backoff here — the payment API has strict rate limits (3 req/sec)`
  • ❌ `// Retry the request`

4. Document non-obvious algorithmic choices. 5. Document external constraints (rate limits, API quirks, platform limitations). 6. Remove comments that state the obvious — they add noise.

**Verify:** Every non-obvious code block has a "why" comment.

Step 3: Runbooks

7. For every production process that humans execute, write a runbook:

  • When is this runbook used?
  • What steps to execute?
  • What does "done" look like?
  • What could go wrong and how to recover?

8. Runbooks live in `docs/runbooks/`.

**Verify:** Every on-call alert has a linked runbook.

Step 4: README Currency

9. README reflects current state (not v1 state). 10. Setup instructions work on a fresh machine. 11. Architecture diagram updated after significant changes.

Common Rationalizations (and Rebuttals)

| Excuse | Rebuttal | |--------|----------| | "The code is self-documenting" | Code says what; documentation says why. Both are needed. | | "I'll document it later" | The context in your head right now is irreplaceable. Write it now. | | "Docs go stale" | Outdated docs are better than no docs. Update when you touch the code. |

Verification

  • [ ] ADRs written for significant architectural decisions
  • [ ] Non-obvious code blocks have "why" comments
  • [ ] Every production alert has a linked runbook
  • [ ] README is current and setup instructions work

References

  • [git-workflow skill](../git-workflow/SKILL.md)
  • [Michael Nygard's ADR template](https://github.com/joelparkerhenderson/architecture-decision-record)
Read more
Read it on GitHub ↗
Ships withai-agent-skills

AI agent skills for production grade applications

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Repo: DevelopersGlobal/ai-agent-skills