Results for “nat”

Master Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.

Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file using trace_processor.

Automate Cisco Webex collaboration workflows: send messages, manage rooms and teams, configure webhooks, and look up people through natural language commands.

Automate time tracking, project management, and invoicing in Harvest by logging hours, managing projects, clients, and tasks through natural language commands.

Manage HR operations in Workday, including workers, time off requests, absence balances, and employee data through natural language commands.

Automate project management workflows in Shortcut -- create stories, manage tasks, track epics, and organize workflows through natural language commands.

Compiles research inputs—PDFs, code, logs, notes—into structured Agent-Native Research Artifacts with cognitive and physical layers.

Discovers and executes bioinformatics tools from the Galaxy ecosystem via natural language, with multi-signal scoring, workflow templates, and reproducibility bundles.

Rewrites text to remove AI writing patterns and add a natural, human voice, based on Wikipedia's guide to signs of AI writing.

Optimize SQL queries, design database schemas, and tune performance across cloud-native and hybrid OLTP/OLAP environments.

Pretrains large language models at scale using PyTorch-native torchtitan with 4D parallelism, Float8, and distributed checkpointing.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

Master iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

Execute this when the user requests code context for a repository, library, or any natural-language code/technology question using DeepWiki, Context7, Exa, git clone, and/or web search+fetch.

Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.

Find brand products that should be added to an existing article. Compares the article's current product mentions to the brand-config product list and proposes natural insertion points.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

YAGNI-first code-minimalism ladder — before writing code, check in order: does this need to exist? already in the codebase? stdlib? native platform feature? installed dependency? one line? Cuts unnecessary code/tokens while never trading away validation, error handling, security, or accessibility. Triggers on: 'ponytail mode', 'write minimal code', 'don't over-engineer this', 'yagni', 'is there already something for this', 'use native instead of a library', 'keep this simple', 'fewest lines possible', 'lazy senior dev mode'.

Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "automate Slack app", "control VS Code", "interact with Discord app", "test this Electron app", "connect to desktop app", or any task requiring automation of a native Electron application.

Transform text plans into interactive visual documents with diagrams, code snippets, and review surfaces for coding agents.

Write and run unit tests with Vitest, a Vite-native testing framework offering Jest-compatible API, mocking, coverage, and snapshot testing.

Finds, inspects, and compares .NET project templates by resolving natural-language descriptions to ranked template matches with pre-filled parameters.

Generate natural speech from text using ElevenLabs voice AI, supporting 70+ languages, multiple models, and various output formats.

Interact with Cat Town, a Farcaster-native game world on Base, covering KIBBLE staking, world state, fishing drops, competitions, raffles, boutique, gacha, and tokenomics.

Manage Shopify stores via GraphQL Admin and Storefront APIs using curl, with Bankr-native bridges for onchain data, x402 payments, and loyalty drops.

Automate time tracking workflows in Toggl Track by creating time entries, managing projects, clients, tags, and workspaces through natural language commands.

Manage Instantly cold email campaigns, sending accounts, lead lists, and analytics through natural language commands via the Composio MCP integration.

Build or review SwiftUI features using the iOS 26+ Liquid Glass API with native modifiers, container patterns, and performance-aware guidance.

Enforces a strict efficiency ladder—YAGNI, reuse, stdlib, native platform, existing deps—before writing any new code, preventing over-engineering and unnecessary dependencies.

Specialized CTF workflow for reverse engineering, malware analysis, DFIR, firmware, pwnable, and native exploit challenges under sandbox assumptions.

Generates OMG-compliant BPMN 2.0 XML and SVG diagrams from natural language process descriptions, with validation, automatic layout, and optional process optimization advisories.