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Found 11,891 Skills
Use this skill when working on an Expo or React Native app that uses, adds, debugs, or migrates to Convex. It covers `npx convex dev`, `EXPO_PUBLIC_CONVEX_URL` and EAS envs, `ConvexReactClient` and provider wiring in `expo-router` or `App.tsx`, generated `api` imports, schema and index design, queries, mutations, actions, auth (Clerk, Convex Auth, JWT or OIDC), file uploads from Expo URIs, pagination, migrations, and common `useQuery` or `_generated` failures. Do not use it for generic Expo UI or navigation work, or for non-Expo Convex frontends unless the task is specifically about adapting them to this mobile stack.
Use 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.
Vector search best practices for Azure DocumentDB using `cosmosSearch` — choosing between DiskANN / HNSW / IVF, creating indexes, tuning `lBuild` / `lSearch` / `maxDegree`, Product Quantization (up to 16,000 dims), half-precision (fp16) indexing, and normalizing embeddings for cosine similarity. Use when building RAG / semantic-search applications, creating a vector index, tuning recall/latency, or reducing vector-index memory footprint.
Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.
Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.
Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.
Gathers inputs, defines initiatives, prioritises with an impact/effort matrix, sequences dependencies, and produces a roadmap table. Invoked when the user asks to plan a technical roadmap, prioritise engineering initiatives, or create a quarter/half-year engineering plan.
Use when writing or editing a system prompt for any LLM API or SDK (any code passing a `system=` / `system` role parameter, or a `.txt`/`.md` file holding such a prompt). Applies prompt-engineering and prompt-caching best practices.
Professional document preparation with LaTeX for academic papers, resumes, books, presentations, and formal documents
Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.
Vue 3 and Vue.js best practices for TypeScript, vue-tsc, Volar, and component patterns. Use when writing, reviewing, or refactoring Vue 3 components with TypeScript, configuring Volar/vueCompilerOptions, extracting component types, working with defineModel/withDefaults, setting up Pinia store tests, or debugging Vue tooling issues. Triggers on Vue components, props extraction, wrapper components, template type checking, strictTemplates, vueCompilerOptions, Volar 3, CSS modules, fallthrough attributes, defineModel, withDefaults, deep watch, vue-router typed params, Pinia mocking, HMR SSR, moduleResolution bundler, useTemplateRef, onWatcherCleanup, useId, generic components, reactive props destructure.
Buy gift cards, top up phones, and get travel eSIMs with Bitcoin, Lightning, Ethereum, Solana, USDC, USDT, or 15+ other cryptos on Base, Polygon, Arbitrum, Tron, and more. No account or CLI install — MCP-native. 10,500+ brands, 180+ countries.