Swift framework guidance for Wax on-device memory/RAG. Use when writing Swift code with the public Memory facade, experimental PhotoMemory / VideoMemory, BuiltInMultimodalEmbeddings, embedding providers, retrieval modes, or hybrid search. For agent operators using the Wax MCP server tools, use the separate wax-mcp…
Apply, review, and explain discriminated unions in TypeScript. Use automatically for tasks involving mutually exclusive variants, invalid state prevention, exhaustiveness checking, variant-specific object properties, application state, function arguments, or React props.
Apply the C# coding and design guidelines by Dennis Doomen when writing, reviewing, or refactoring C# code. Use this skill whenever you generate or evaluate C# to ensure it follows the established rules for class design, member design, maintainability, naming, performance, testability, and more.
Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python. Use this skill whenever a user wants to create an async Python web app, REST API, WebSocket server, or ASGI application using Starlette. Triggers include mentions of 'Starlette', 'ASGI', async Python web frameworks, or…
MANDATORY reading before writing ANY backend, API, server, or fullstack application code (createartifact types fullstack-stateless-app / fullstack-stateful-app, or anything that will be launched with launchbackend). Contains the complete hard contract: the canonical FastAPI+Mangum backend.py template, SECRETS…
Provides guidance for writing, optimizing, and benchmarking C++ CPU kernels with SIMD intrinsics (AVX2/AVX512) for the Hugging Face kernels ecosystem. Includes a two-phase workflow: Phase 1 correctness (generic → AVX2) and Phase 2 performance exploration (AVX512 with branching trial loop), runtime CPU dispatch, OpenMP…
Common design patterns with Java examples (Factory, Builder, Strategy, Observer, Decorator, etc.). Use when user asks "implement pattern", "use factory", "strategy pattern", or when designing extensible components.
Review Ruby/Rails code like DHH would - direct, opinionated, allergic to over-engineering. Use when the user runs /dhh or asks for a DHH-style review of a diff, file, or recent changes.
Use this skill when writing or modifying tests in the llxprt-code repository. Covers mandatory TDD, behavioral testing, bun:test conventions and file naming, mock hygiene (no mock theater), and what never to test. Distilled from dev-docs/RULES.md, which remains the source of truth.
Instructions for AI coding agents. Following this file installs the Jac programming language, wires Jac expertise into your tooling, and teaches you enough to work productively in a Jac codebase. Execute the steps in order and verify each one before moving on.
Add a new lint rule to protolint — every file that has to change, and how the official/unofficial, fixable and auto-disable behaviours are wired. Use when asked to add, implement, or write a new rule.
Create, revise, and troubleshoot publication-ready scientific plots in Python with cnsplots, including distribution, regression, heatmap, genomics, survival, set, flow, and multi-panel figures. Use when a user asks for cnsplots code, Cell/Nature/Science-style visualization, precise pixel-sized figures, statistical…
Use this skill when working with bnlearn, a Python library for Bayesian networks, probabilistic graphical models, causal discovery, parameter learning, structure learning, inference, sampling, and directed acyclic graphs (DAG).
Use when writing tutorial documentation or create-leo-app examples for the Provable SDK (@provablehq/sdk). Covers how to structure runnable templates, write tutorial-style docs, and handle Node.js vs web runtime differences.
Expert use of the LitData library and work on its codebase. Use when writing or reviewing code that calls litdata (StreamingDataset, StreamingDataLoader, StreamingRawDataset, optimize, map, CombinedStreamingDataset, ParallelStreamingDataset, TokensLoader, serializers, typed media wrappers…
Integrate and build on the @alpacahq/alpaca-trade-api TypeScript SDK for the Alpaca Trading and Market Data APIs (the unified Alpaca client, ergonomic order builders, normalized market-data shapes, pagination, typed errors, resilience, and real-time streaming). Use when writing or reviewing code that imports…
Use when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. Covers imports, data loading, DataFrame operations, expression building, SQL-to-DataFrame mappings, idiomatic patterns, and common pitfalls.
Create a new Lunatik kernel module binding (lib/luaX.c) with its build wiring, docs and tests. Use when adding a Lua binding for a kernel API or subsystem.
★not rated 599 yesterdayA40 tokens
GPL-2.0
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