Skill UI

A comprehensive guide to optimizing context window usage within AI coding environments like Cursor. Learn how to strategically use @-mentions, manage context pills, and leverage different context sources (codebase, documentation, web) to prevent context overflow and ensure the AI generates highly accurate, relevant, and context-aware code suggestions and answers for complex development tasks.

Master Cursor's AI-powered Tab completion system, generating instant, context-aware 'ghost text' suggestions. This tool predicts the next code lines based on the current file, open tabs, and even comments, allowing developers to accept or modify suggestions with minimal effort. It is designed to significantly boost coding speed and maintain coding consistency.

This skill implements a sophisticated, config-driven rules engine for OpenRouter API calls. It dynamically determines the optimal large language model (LLM) by evaluating a comprehensive context, including user subscription tier, remaining cost budget, specific task type (code, chat), required tools, and latency requirements. This is essential for building production-grade, cost-aware, and robust LLM orchestration systems.

This skill enables the configuration and optimization of Windsurf's Supercomplete AI-powered code suggestions. Supercomplete provides intelligent, context-aware suggestions that significantly enhance developer productivity, going far beyond traditional autocomplete. Use this skill when setting up, customizing, or optimizing your code completion environment within the Windsurf IDE.

This skill provides a comprehensive framework for the continuous self-improvement of makepad-skills. It outlines automatic skill triggering via hooks, context-aware skill routing, and a structured process for capturing new patterns, error solutions, and best practices. It ensures the entire skill library remains robust and up-to-date throughout the development lifecycle.

Generates and reviews Odoo XML definitions for Form, List, Kanban, Search, Calendar, and Graph views across versions 14–17, handling visibility, groups, domains, contexts, and widget rules with migration-aware syntax so you can deliver production-ready view XML.

Automates project-aware diary maintenance by recording status from conversations, refreshing context, extracting global and project progress, and syncing to Notion/Obsidian while enforcing strict workflow steps.

This guide outlines how to implement Google Cloud Identity-Aware Proxy (IAP) to enforce zero-trust, identity-based access control across various Google Cloud services (App Engine, Cloud Run, GKE, Compute Engine). It details configuring per-request authentication, context-aware policies (like device posture and location), and programmatic access management for highly secure internal applications.

Blueprint turns a single objective into an executable, multi-step construction plan tailored for coding agents and multi-session teams, complete with context briefs, review gates, dependency awareness, and installable via `/blueprint <project> <objective>`.

This comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.

This generator provides a comprehensive, production-ready template for building a Model Context Protocol (MCP) server using Kotlin. It sets up the full Gradle structure, integrates essential dependencies (MCP SDK, Ktor, Coroutines), and includes robust placeholders for custom tools, error handling, and testing, accelerating the development of context-aware backend services.

This skill provides an interactive, guided onboarding tour for the Context-Matic MCP server. It addresses the challenge of general AI models relying on outdated or incorrect public code by acting as a live, version-aware grounding layer. The tour walks users through the server's core function, demonstrates key tools (like fetching APIs, searching models, and finding endpoints), and guides them through selecting and exploring available APIs for their specific project language.