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Systematic seven-step novel writing workflow with AI-assisted planning, consistency tracking, and quality validation. \n \n Guides writers through constitution (core principles), specification (story requirements), clarification (resolving ambiguities), planning (structure and technique), task breakdown (actionable steps), writing (AI-assisted drafting), and analysis (quality checks) \n Automatically activates genre-specific skills (Romance, Mystery, Fantasy) and writing technique skills (Dialog

Design effective logos with AI image generation via inference.sh CLI.

Structured prompting techniques for generating high-quality videos across multiple AI platforms. \n \n Covers eight video generation models (Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora) with model-specific optimization tips \n Provides a reusable prompt formula combining shot type, subject, action, setting, lighting, style, and technical parameters \n Includes reference tables for shot types, camera movements, lighting keywords, and visual aesthetics with practical examples \n Demonstrat

Use this skill in two modes:

Essential reference guide for ADK agent development, covering spec-driven workflow, code preservation rules, and operational best practices. \n \n Read DESIGN_SPEC.md first as your primary source of truth; all implementation decisions must align with it \n Follow four mandatory phases: understand spec, build and implement, evaluate (using /adk-eval-guide ), and deploy with human approval \n Preserve all unrelated code when making modifications; only alter explicitly targeted segments and never c

Comprehensive evaluation methodology guide for ADK agents covering metrics, schemas, and iteration workflows. \n \n Provides eight evaluation criteria (tool trajectory, response matching, rubric-based scoring, hallucination detection, safety) with configurable thresholds and judge model options \n Includes evalset schema documentation with multi-turn conversation support, tool use trajectory specification, and session state initialization patterns \n Outlines the eval-fix loop: start small, run

Comprehensive assistance with Google Search optimization, SEO best practices, and search visibility improvements based on official Google documentation.

Complete reference for migrating UWP apps to WinUI 3 with before/after code examples. \n \n Maps all namespace changes from Windows.UI.Xaml.* to Microsoft.UI.Xaml.* , plus threading, windowing, and dialog APIs \n Covers the three most common Copilot mistakes: ContentDialog without XamlRoot, MessageDialog usage, and CoreDispatcher patterns \n Includes migration tables for window management, pickers, background tasks, settings, and GetForCurrentView() replacements \n Provides a 15-item migration c

Battle-tested utilities for Convex backends covering relationships, authentication, filtering, sessions, and data migrations. \n \n Relationship helpers ( getOneFrom , getManyFrom , getManyVia ) simplify loading related data across tables with type safety \n Custom functions provide TypeScript-based data protection and access control as an alternative to row-level security, with automatic auth injection and role-based access patterns \n Additional utilities include filtering for complex logic, s

Best practices for writing effective AI video generation prompts via inference.sh.