before-you-refactor
Use when considering, evaluating, or performing a refactor, restructure, cross-file rename, or cleanup
Use when designing or reviewing a public API, exported function signature, module boundary, exported type/interface, or any contract other code depends on
$ npx -y skills add oribarilan/97 --skill api-design --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/api-designContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when designing or reviewing a public API, exported function signature, module boundary, exported type/interface, or any contract other code depends on
name: api-design description: Use when designing or reviewing a public API, exported function signature, module boundary, exported type/interface, or any contract other code depends on
The headline rule, from Scott Meyers (97/55), governs everything else: **make interfaces easy to use correctly and hard to use incorrectly.** Every other decision below is a tactic for that rule — encapsulate behavior so callers can't reach past the contract, lean on the type system so wrong calls fail at compile time.
This is a **rigid** skill. Run the decisions in order. If you can't satisfy one, stop and tell the user what's blocking you.
Invoke when you're about to:
If you're not sure whether a change is "public," ask: *will any code outside this file depend on the shape of what I'm about to write?* If yes, invoke.
Run every decision in order. Decision 1 is the headline; the rest are how you satisfy it.
1. **Headline: make it easy to use correctly, hard to use incorrectly.** *(Meyers, 97/55.)* Before the API exists, write a handful of realistic call sites — on a whiteboard, in a scratch file, in a test. The natural way to call it should be the correct way. Then ask: what mistakes will a tired caller make? Swapped argument order, forgotten cleanup, calling methods in the wrong sequence, passing a stringly-typed value that means nothing? Anticipate those, then change the *interface* (not the docs) so each one is awkward or impossible. Every later decision is a tactic for this rule.
2. **Prevent errors at the call site, not in the error message.** *(Colborne, 97/66.)* An error message is a sign that communication broke down upstream. Where you can, eliminate the error condition: take an enum instead of a string, take a parsed `Url` instead of `String`, take a non-empty list type instead of `List` plus a runtime check. Where free input is unavoidable, parse leniently and report specifically. Defaults should reflect the common case. Most caller mistakes are systematic — the API drew them in — not user incompetence.
3. **Encapsulate behavior, not just state.** *(Landre, 97/32.)* A type that exposes only getters and setters has pushed every business rule out into its callers, where the rule will be re-implemented inconsistently. If `Order.addItem` needs a credit check, the credit limit and the check belong on `Customer`, and `Order` asks `Customer`. Anti-pattern: an `OrderManager` / `OrderService` that holds all the logic while `Order`, `Customer`, and `Item` are records. When state and the behavior that depends on it live together, callers can't get the sequence wrong. And encapsulate *one* coherent behavior — a class with fourteen methods of which any caller uses two has the dual problem: every caller depends on a surface they don't all need. The exported surface should have one reason for callers to depend on it. *(Martin, 97/76 — SRP at the boundary.)* 4. **Don't extract a shared API until the contexts are actually shared.** *(Dahan, 97/7.)* Two call sites with the same four lines of code are not necessarily the same concept — they may be the same shape today and diverge tomorrow under different business pressures. A premature shared library ties the two callers together: every change now requires synchronizing both. Localize first; extract only when a real shared concept emerges and you can name it in the domain.
5. **Prefer domain-specific types to primitives.** *(Landre, 97/65.)* `ship(weight: Kilograms)` and `ship(thrust: Newtons)` cannot be confused at a call site; `ship(weight: double)` and `ship(thrust: double)` can — and the Mars Climate Orbiter is the canonical example of how that ends. In statically typed languages this becomes a compile-time guarantee; in dynamic ones, a small wrapper class plus a unit test gives you the same readability and the same encapsulation point for domain rules. 6. **Model state explicitly; reject illegal operations by type or guard.** *(Nilsson, 97/84.)* If an `Order` can be in `InProgress`, `Paid`, or `Shipped`, then `addItem` is only legal in one state and `ship` is only legal in another. Pretending the state doesn't exist (one flat class with a pile of booleans) leads to nonsense like "shipped before paid" being representable. Either split into state types, or check the current state at the start of every operation that depends on it. Method signatures should reflect what's actually callable.
7. **Design vocabulary, not conveniences.** *(Hohpe, 97/19.)* `parser.processNodes(text, false)` is meaningless at the call site — the reader must consult docs to learn what `false` means. A boolean or enum flag whose value flips the meaning of t
Agent skills distilled from the hard-won lessons of world-renowned programmers, in the spirit of "97 Things Every Programmer Should Know"
Repo: oribarilan/97
Use when considering, evaluating, or performing a refactor, restructure, cross-file rename, or cleanup
Use when writing, reviewing, or changing build scripts, CI workflows, deploy pipelines, repo setup, or evaluating a new tool/dependency
Use when writing or reviewing functions, classes, naming, or non-trivial logic (≥3 lines)
Use when writing or reviewing error handling, floating-point math, concurrent code, remote calls, singletons/globals, hot-path data structures, or high-volume…
Use when introducing, reviewing, or renaming a top-level type, table, or domain concept; or choosing where state lives (in-memory vs persistent)
Use when writing or reviewing request handlers, RPCs, or background jobs for production; adding tracing, metrics, or structured-log calls; or making…