rust
Rust systems-programming reference skill for storage engines, binary formats, Arrow/DataFusion, search and vectors, async concurrency, testing, and unsafe discipline. Use when the task touches Rust crates and should follow the workspace's systems-level engineering conventions.
What this skill does
<EXTREMELY-IMPORTANT> This skill is the routing shell over the Rust reference set, not the whole systems handbook. Non-negotiable rules: 1. Identify the subsystem before coding. Load only the relevant references. 2. **Safe Rust by default.** `unsafe` only when justified — every `unsafe` block gets a `// SAFETY:` comment. 3. **Zero-copy where possible.** mmap'd segments, `&str`/`&[u8]` references into pages. Never copy data without reason. 4. **Error types per crate.** `thiserror` enums in library crates. Never `anyhow` in libraries — only in binaries/tests. 5. **Async with tokio.** All I/O is async. CPU-bound work on `spawn_blocking`. Never block the tokio runtime. 6. **Workspace crate structure.** One crate per subsystem. Depend downward — never circular. 7. **Property tests for invariants.** `proptest` for round-trips, type coercion, binary parsing. </EXTREMELY-IMPORTANT> # rust ## Inputs - `$request`: The crate, subsystem, bug, feature, or review target ## Goal Route Rust work through the right subsystem conventions so changes follow the workspace’s systems-programming patterns instead of generic Rust defaults. ## Step 0: Identify the subsystem Decide which part of the Rust surface the task touches: - storage engine - binary formats - type system - Arrow or DataFusion - wire protocols - search or vectors - arena or graph code - geo indexing - async or concurrency - testing - unsafe or error design **Success criteria**: The task is mapped to the right subsystem before references are loaded. ## Step 1: Load only the relevant references Use the routing table to pick the matching files. Do not bulk-load the full reference tree. | Task / Area | Read | |---|---| | Toolchain, workspace layout, key crates, Cargo conventions | `references/stack.md` | | WAL, mmap, segments, MVCC, compaction, io_uring, backends | `references/storage-engine.md` | | Custom on-disk formats, zero-copy parsing, packed structs | `references/binary-formats.md` | | Database type system, disk/exec types, Arrow interop | `references/type-system.md` | | DataFusion table providers, UDFs, Arrow RecordBatch, planning | `references/datafusion-arrow.md` | | pgwire server, MySQL protocol, dialect mapping, ORM compat | `references/wire-protocols.md` | | tantivy FTS, HNSW vectors, SIMD distance, hybrid search | `references/search-vector.md` | | bumpalo arenas, graph adjacency, traversal algorithms | `references/arena-graph.md` | | R-tree spatial index, geo predicates, WGS84 distance | `references/geo-rtree.md` | | tokio async, io_uring, crossbeam, lock-free structures, MVCC | `references/async-concurrency.md` | | proptest, deterministic testing, integration test patterns | `references/testing.md` | | thiserror hierarchies, unsafe patterns, safety invariants | `references/error-unsafe.md` | Multiple tasks? Read multiple files. **Success criteria**: Only the subsystem-relevant Rust guidance is active. ## Step 2: Implement with the core Rust guardrails Keep these rules active: - safe Rust by default; `unsafe` only when justified with `// SAFETY:` - error types match crate boundaries (`thiserror` in libs, `anyhow` only in bins/tests) - async code does not block the runtime; CPU work on `spawn_blocking` - owned vs borrowed data choices are deliberate; prefer `&[u8]` over `Vec<u8>` in signatures - explicit `use` imports — no glob imports except in test modules - `#[must_use]` on functions returning `Result` or computed values - `#[inline]` only on small functions in hot loops — never on public API - `Send + Sync` bounds on trait objects crossing async boundaries - `#[derive(Debug)]` on all public types; `#[derive(Clone)]` only when cheap - feature flags for optional crate deps — `#[cfg(feature = "...")]` - tests match the risk: unit, integration, property, snapshot, or domain-specific verification **Success criteria**: The implementation fits the workspace’s systems-level quality bar. ## Step 3: Verify the change Use the narrowest relevant verification loop: - `cargo fmt` - `cargo clippy -- -D warnings` - focused crate tests - subsystem-specific tests such as proptest or snapshots when appropriate **Success criteria**: The Rust surface is validated the way this workspace expects. ## Guardrails - Do not inline the whole Rust handbook in `SKILL.md`. - Do not skip subsystem identification. - Do not use `anyhow` in library crates unless the project specifically allows it there. - Do not add `disable-model-invocation`; this is a normal domain skill. - Do not leave unsafe invariants undocumented. ## When To Load References - `references/stack.md` Use for workspace/toolchain context. - then only the task-relevant subsystem files under `references/` ## Output Contract Report: 1. which Rust references were loaded 2. the subsystem pattern applied 3. the change made 4. the verification run
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.