Skill UI

A comprehensive playbook for building visual novels, covering core components like branching scripts, character presentation, backgrounds, and choice mechanics. It details necessary quality-of-life features such as save-anywhere, backlog, and auto-advance, ensuring a rich, engaging, and readable story experience.

A comprehensive guide for developing full-featured VS Code extensions from scratch or converting existing web applications (JS/React/Vue). Learn to implement custom commands, complex webviews, hierarchical tree views, custom editors, and integrate advanced features like AI agents using file-bridge IPC. Supports modern build stacks including TypeScript, esbuild, and Vite.

This documentation serves as a catalog for integrating various AI powerups and structured features into administrative web panels. It guides developers on locating and correctly importing specific abstractions, such as `GetSettingsFeature`, ensuring type safety and proper implementation when extending system capabilities.

This skill implements spec-driven feature work by freezing obligations before planning. It uses a human-reviewed plan with EARS criteria, paths, and entities, followed by proof-backed checks and an independent Verifier. Use when asked to plan features, write checks, or verify work. It prevents requirement drift by ensuring tests assert claims rather than implementation details.

Creates a personal, motivating daily focus board in a browser canvas, driven by conversation with an AI partner. Tracks task statuses with progress notes, supports numeric goals with progress bars, and includes neurodivergent-friendly features like focus mode, kind carryover, brain-dump box, reduced motion, and gentle deadline countdowns. Priorities via Eisenhower matrix, daily mantra, check-in, and end-of-day recap. Persists in localStorage.

This skill enables structured AI red team exercises to evaluate model resilience against jailbreaks, data exfiltration, and harmful outputs. It helps identify exploitable failure modes before attackers do, suitable for new LLM features, third-party model evaluation, and compliance audits. Includes adversarial prompt libraries and automated testing scripts for security assessments.

Implement Conversational Language Understanding with the Azure AI Language Conversations Python SDK. Use ConversationAnalysisClient to analyze conversation intent and entities, build NLP features, and integrate language understanding into applications.

This SDK provides a comprehensive Java client for interacting with Azure Monitor. It allows developers to execute powerful Kusto Query Language (KQL) queries against Log Analytics workspaces to retrieve detailed operational logs, and to query time-series metrics from various Azure resources. It supports both synchronous and asynchronous operations, making it ideal for building monitoring, auditing, and analytics features in Java applications.

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

Cloudflare Pages enables deploying static sites and full-stack applications globally with edge functions. It supports preview deployments per pull request, custom domains, and TLS. Users can manage projects via Wrangler CLI or the dashboard, integrating with GitHub/GitLab. Features include serverless functions, middleware, and bindings for KV, D1, and R2, facilitating server-side logic alongside static content.

This skill simplifies and refines code to enhance clarity, consistency, and maintainability without altering functionality. It applies project-specific best practices such as using ES modules, explicit type annotations, and readable structures. Ideal for cleaning up recently modified code, reducing complexity, and improving readability while preserving all original features and behaviors.

Create new development tracks (features, bugs, chores, refactors) with detailed specifications and phased implementation plans. Helps organize work with acceptance criteria, dependencies, and verification steps for structured development workflows.