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documentation-and-adrs

Write documentation that stays accurate and decisions that stay recorded

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Quellinformationen

Repository
vignesh2027/AI-AGENT-SKILLS
Letzte Quellaktivität
13. Mai 2026 um 19:03
Erkannte Sprache von SKILL.md
Englisch
Sterne
1
Forks
0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
documentation-and-adrs
description
Write documentation that stays accurate and decisions that stay recorded
difficulty
junior
domains
["general"]
## Overview Documentation that is wrong is worse than no documentation — it confidently misleads. This skill writes documentation that is minimal, accurate, and maintained. It also captures architectural decisions (ADRs) so future engineers understand why the system is the way it is. ## When to Use - Before shipping a new feature or API - When changing a public interface - When making an architectural decision that is hard to reverse - When documenting a non-obvious system behavior ## Process ### Step 1: Audience-first Before writing: who is the reader? What do they already know? What do they need to do after reading this? Write for that person, not for yourself. ### Step 2: Document the why, not just the what The code describes what. The documentation must describe: why this design, what was rejected, what trade-offs were made. This is what prevents future engineers from "improving" something that can't be improved. ### Step 3: README structure Good README: 1. What is this? (one sentence) 2. Why does it exist? (one paragraph) 3. Quick start (the first 5 minutes) 4. Core concepts (only what's non-obvious) 5. Reference (exhaustive, machine-readable if possible) 6. Contributing (link to CONTRIBUTING.md) ### Step 4: API documentation For every public API endpoint or function: - Purpose (one sentence) - Parameters: name, type, constraints, required/optional - Return value: type, shape, possible values - Error cases: what errors can occur and when - Example: one complete working example ### Step 5: Architecture Decision Records (ADRs) Write an ADR for every decision that is: - Hard to reverse - Non-obvious in its rationale - Likely to be questioned by a future engineer ADR format: ```markdown # ADR-NNN: [Short Title] ## Status [Proposed | Accepted | Deprecated | Superseded by ADR-NNN] ## Context [What situation led to this decision?] ## Decision [What was decided?] ## Alternatives Considered [What else was evaluated and why was it rejected?] ## Consequences [What becomes easier or harder as a result?] ``` ### Step 6: Keep documentation close to the code Documentation in a separate wiki will drift. Prefer: inline docstrings for functions, README.md in each directory, ADRs in a `docs/decisions/` folder. ### Step 7: Test your documentation Have someone unfamiliar with the system follow the quick start. If they get stuck, the documentation is wrong. ## Anti-Rationalizations **"The code is self-documenting"** Code says what. Documentation says why. No code is self-documenting for the why. **"No one reads ADRs"** No one reads ADRs until they need to. That moment always comes. ## Verification Requirements - [ ] README has: what, why, quick start, contributing - [ ] All public APIs documented with parameters, returns, and examples - [ ] ADR written for hard-to-reverse decisions - [ ] Documentation reviewed by someone unfamiliar with the system - [ ] Docs live close to the code they describe
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