skills/rust-best-practices/SKILL.md
Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook. Use this skill when: (1) writing new Rust code or functions, (2) reviewing or refactoring existing Rust code, (3) deciding between borrowing vs cloning or ownership patterns, (4) implementing error handling with Result types, (5) optimizing Rust code for performance, (6) writing tests or documentation for Rust projects.
npx skillsauth add koolamusic/claudefiles rust-best-practicesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Apply these guidelines when writing or reviewing Rust code. Based on Apollo GraphQL's Rust Best Practices Handbook.
Before reviewing, familiarize yourself with Apollo's Rust best practices. Read ALL relevant chapters in the same turn in parallel. Reference these files when providing feedback:
&T over .clone() unless ownership transfer is required&str over String, &[T] over Vec<T> in function parametersCopy types (≤24 bytes) can be passed by valueCow<'_, T> when ownership is ambiguousResult<T, E> for fallible operations; avoid panic! in productionunwrap()/expect() outside teststhiserror for library errors, anyhow for binaries only? operator over match chains for error propagation--release flagcargo clippy -- -D clippy::perf for performance hints.iter() instead of .into_iter() for Copy types.collect() callsRun regularly: cargo clippy --all-targets --all-features --locked -- -D warnings
Key lints to watch:
redundant_clone - unnecessary cloninglarge_enum_variant - oversized variants (consider boxing)needless_collect - premature collectionUse #[expect(clippy::lint)] over #[allow(...)] with justification comment.
process_should_return_error_when_input_empty()///) for public API examplescargo insta for snapshot testing generated outputdyn Trait only when heterogeneous collections are neededEncode valid states in the type system to catch invalid operations at compile time:
struct Connection<State> { /* ... */ _state: PhantomData<State> }
struct Disconnected;
struct Connected;
impl Connection<Connected> {
fn send(&self, data: &[u8]) { /* only connected can send */ }
}
// comments explain why (safety, workarounds, design rationale)/// doc comments explain what and how for public APIsTODO needs a linked issue: // TODO(#42): ...#![deny(missing_docs)] for librariesdevelopment
Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
data-ai
Turn the current session into a coordination thread that routes per-branch implementation work to durable, reusable child agents. Use when the user says 'orchestrator on', wants this session to act as chief-of-staff across branches, or asks to route work without implementing locally.
development
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework with built-in backward tracing for deep-stack failures, ensuring root-cause understanding before implementation
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.