NLP

This skill should be used when the user asks about "prompt_toolkit Buffer", "Document", "cursor position", "text manipulation", "BufferControl", "text editing", "undo/redo", "selection", "copy paste", or needs to handle text input and manipulation in prompt_toolkit applications.

Analyzes narrative text and files to identify and remove AI-generated signals while preserving authentic voice and style. Runs input through comprehensive protocols covering vocabulary, syntax, character voice, emotional depth, and readability. Use this skill when you need to proof narrative content against AI detection patterns or humanize AI-assisted writing.

AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate generation, (3) Creating natural language incident explanations, (4) Generating recommended remediation actions. Triggers: "explain incident", "find root cause", "diagnose data issue", "what caused the alert", "RCA for incident".

Write copy that converts. Use when writing landing pages, emails, sales copy, headlines, CTAs, social posts, or any persuasive content. Triggers on: make this convert, write copy for X, help me sell X, punch this up, write a landing page, write sales copy. Produces internet-native copy that sounds like a smart friend explaining something while quietly deploying every persuasion principle in the book. Includes complete reference material from Schwartz, Hopkins, Ogilvy, Halbert, Caples, Sugarman, and Collier.

Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Implement data access for the .NET 8 WPF widget host app using EF Core or Dapper. Use when creating repositories, unit of work, migrations, DbContext configuration, and query patterns while keeping clean architecture boundaries.

Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.

Vectorized string manipulation using the char module and modern string alternatives, including cleaning and search operations. Triggers: string operations, numpy.char, text cleaning, substring search.

Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge

Lean session start. Asks focus area first, then loads only relevant context. Use when "start" is said at session beginning.

Phoenix Framework with LiveView on the BEAM. Covers OTP foundations, context-driven domain modeling, Ecto data layer, LiveView real-time patterns, PubSub/Presence, testing, performance, and deployment with releases.

Run the NOVAE loop (Sequential Thinking → Context7 QA → Parallel Tasks → Integration → Tests) for React/TypeScript + Express projects like ProAgentic. Use for features, bug fixes, or refactors that must be validated end-to-end. Prioritize user flows, Playwright MCP, and safety (never kill processes).

Kotlin 2.0 Multiplatform Enterprise Development with KMP, Coroutines, Compose Multiplatform, and Context7 MCP integration. Advanced patterns for mobile, backend, and cross-platform development.

Use fresh agents for focused subtasks to avoid context pollution

Fill prompt templates with variables from task context, replacing placeholders like {user_name} or {analysis}. Use when you need consistent, reusable prompts with dynamic content insertion and validation of required variables.

Send and read iMessages through Claude. Use when the user wants to text someone, check messages, or search conversations on macOS.

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching