NLP

Comprehensive research skill using Exa AI tools for web search and code context retrieval. Use when conducting research on technologies, finding code examples, discovering latest tools, or gathering comprehensive information on any topic. Combines web search for articles/news with code search for implementation examples.

Master-Clone pattern implementation guide for complex multi-step tasks with full project context

Comprehensive Android device control via ADB (Android Debug Bridge). Use when user asks about: Android device management, app installation/uninstallation, APK operations, package management, file transfer (push/pull), screenshots, screen recording, input simulation (tap/swipe/text/keyevents), shell commands, logcat viewing, device info (battery/memory/storage), automation scripts, wireless ADB connection, scrcpy mirroring. Keywords: adb, android, phone, tablet, device, apk, install app, uninstall app, screenshot, screen record, tap, swipe, type text, keyevent, logcat, push file, pull file, shell, package, activity, intent, broadcast, dumpsys, getprop, settings, input, sendevent, monkey, am start, pm list, device info, battery status, wireless adb, connect device.

Install Basic Memory MCP for persistent memory between Claude sessions. Use when user needs memory/context persistence via uvx.

Analyze the CustomGPT.ai Labs Innovation workbook and cost tracking data to surface portfolio-level insights, trends, and recommendations for where to focus Innovation efforts.

Creates, analyzes, updates, and evaluates Model Context Protocol (MCP) servers including architecture assessment, security validation, and connection configuration. Use when user asks if current context or logic should be MCP, requests MCP creation/improvement/update, mentions MCP is outdated, or asks how MCPs work, what MCPs are, explaining MCP concepts, understanding MCP architecture, protocol specification, server implementation, client integration, or connecting MCP servers to Claude Code.

Analyzes project structure, dependencies, and patterns to generate comprehensive context documentation. Uses parallel agent execution for faster analysis. Helps understand unfamiliar codebases quickly.

Expert guidance for developing and integrating AI systems using LLM APIs, SDKs, and Model Context Protocol (MCP). Covers API selection, SDK patterns, MCP development, production patterns, security, cost optimization, and architecture decisions for building production-ready AI integrations.

Specialized processing for Chuukese language text including tokenization, accent handling, cultural context preservation, and language-specific patterns. Use when working with Chuukese text, translation tasks, or when building language models for this Micronesian language.

Generate and manage game image assets using AI. Use when user asks to create sprites, textures, backgrounds, portraits, or other visual assets for the game. Handles 3D textures, style consistency, and manifest updates. (project)

Comprehensive toolkit for PDF processing and manipulation. Process PDF files to extract text/tables, convert PDF to text, merge/combine/split PDFs, fill forms, add watermarks, rotate pages, handle passwords, OCR scanned documents. Use when you need to extract from PDF, extract data from PDF, get data from PDF, work with PDF files, PDF conversion, complex tasks, batch processing, or programmatic manipulation to read, parse, combine, or extract data from PDFs at scale.

Build features when user wants to implement PRDs, write code for specs, or develop functionality. Works incrementally substory-by-substory with automatic testing and code review. Automatically loads PRD context to maintain consistency. Also writes standalone tests for any file.

Transcribes audio and video files to text using OpenAI's Whisper CLI with contextual grounding. Converts audio/video to text, transcribes recordings, and creates transcripts from media files. Use when asked to "whisper transcribe", "transcribe audio", "convert recording to text", or "speech to text". Uses markdown files in the same directory as context to improve transcription accuracy for technical terms, proper nouns, and domain-specific vocabulary.

Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. Analyzes existing designs and adapts to project aesthetics.TRIGGERS - Keywords: UI, UX, CSS, SCSS, Sass, Less, styling, styles, stylesheet, Tailwind, styled-components, emotion, CSS-in-JS, Chakra, MUI, Material UI, Radix, shadcn, headless UI, layout, flexbox, grid, responsive, mobile-first, breakpoints, media queries, animation, transition, motion, keyframes, hover, focus, active states, visual design, typography, fonts, typeface, font-family, text styling, headings, color, colors, palette, color scheme, theme, theming, dark mode, light mode, branding, spacing, padding, margin, gap, whitespace, shadows, box-shadow, borders, border-radius, rounded corners, gradients, buttons, cards, forms, inputs, modals, dialogs, navigation, navbar, sidebar, header, footer, hero section, landing page, dashboard, component styling, design system, design tokens.TRIGGERS - Phrases: "make it look better", "improve the look", "looks ugly"

Help users discover Contextune capabilities and understand how to use natural language commands. Use when users ask about Contextune features, available commands, how to use the plugin, or what they can do. Activate for questions like "what can Contextune do?", "how do I use this?", "show me examples", "what commands are available?"

Define semantic layer cubes with Drizzle ORM tables, including dimensions, measures, time dimensions, and security context. Use when creating analytics cubes, defining data models, setting up multi-tenant filtering, or working with drizzle-cube semantic layers.

Complete TDD workflow for creating comprehensive failing test suites across all architectural layers (entities, use cases, services, APIs, E2E) using Vitest, Playwright, and Testing Library. Mandatory Context7 consultation for latest testing patterns.

Guide for using MCPKit Swift package to build MCP (Model Context Protocol) tool servers. Use when creating new MCP servers, defining tools, or integrating MCP into Swift projects.

MANDATORY protocol enforcing knowledge check before EVERY response - prevents explaining systems without reading docs, claiming without verification, and ignoring auto-loaded context

Implement and deserialize all CQL types including primitives (int, text, timestamp, uuid, varint, decimal), collections (list, set, map), tuples, UDTs (user-defined types), and frozen types. Use when working with CQL type deserialization, schema validation, collection parsing, UDT handling, or type-correct data generation.