rslib-best-practices
Rslib best practices for config, CLI workflow, output, declaration files, dependency handling, build optimization and toolchain integration. Use when writing, reviewing, or troubleshooting Rslib projects.
What this skill does
# Rslib Best Practices Apply these rules when writing or reviewing Rslib library projects. ## Configuration - Use `rslib.config.ts` and `defineConfig` - Check Rslib-specific configurations first (e.g., `lib.*`), and also leverage Rsbuild configurations (e.g., `source.*`, `output.*`, `tools.*`) as needed - For deep-level or advanced configuration needs, use `tools.rspack` or `tools.bundlerChain` to access Rspack's native configurations - In TypeScript projects, prefer `tsconfig.json` path aliases ## CLI - Use `rslib` to build - Use `rslib --watch` to build in watch mode for local development - Use `rslib inspect` to inspect final Rslib/Rsbuild/Rspack configs ## Output - Prefer to build pure-ESM package with `"type": "module"` in `package.json` - Prefer to use bundleless mode with `output.target` set to `'web'` when building component libraries - Prefer to use bundle mode when building Node.js utility libraries - Ensure `exports` field in `package.json` is correctly configured and matches the actual JavaScript output and declaration files output of different formats (ESM, CJS, etc.) ## Declaration files - Prefer to enable declaration file generation with `lib.dts: true` or detailed configurations - For faster type generation, enable `lib.dts.tsgo` experimental feature with `@typescript/native-preview` installed ## Dependencies - Prefer to place dependencies to be bundled in `devDependencies` in bundle mode and dependencies in `dependencies` and `peerDependencies` will be automatically externalized (not bundled) by default - Verify the build output and dependency specifiers in `package.json` carefully to ensure no missing dependency errors occur when consumers install and use this package ## Build optimization - Keep syntax target in `lib.syntax` aligned with real compatibility requirements to enable better optimizations - Avoid format-specific APIs in source code for better compatibility with different output formats - Prefer lightweight dependencies to reduce bundle size ## Toolchain integration - Prefer to use Rstest with `@rstest/adapter-rslib` for writing tests - Prefer to use Rspress for writing library documentation, with `@rspress/plugin-preview` and `@rspress/plugin-api-docgen` for component previews and API docs ## Debugging - Run with `DEBUG=rsbuild` when diagnosing config resolution or plugin behavior - Read generated files in `dist/.rsbuild` to confirm final Rsbuild/Rspack config, not assumed config ## Documentation - For the latest Rslib docs, read https://rslib.rs/llms.txt
Related in Writing & Docs
jax-development
IncludedUse this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
nature-article-writer
IncludedDrafts, rewrites, diagnostically critiques, and style-calibrates primary research manuscripts for Nature and Nature Portfolio journals. Use when the user wants a Nature-style title, summary paragraph or abstract, introduction, results, discussion, methods, figure legends, presubmission enquiry, cover letter, reviewer response, or when a scientific draft sounds generic, jargon-heavy, structurally weak, or AI-ish and needs precise, broad-reader-friendly prose without inventing data, analyses, or references. Best for primary research articles and letters rather than reviews or press releases unless explicitly adapting one.
deckrd
IncludedDocument-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing — use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.
clinical-decision-support
IncludedGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
handling-sf-data
IncludedSalesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).
accelint-ac-to-playwright
IncludedConvert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.