Skill UI

A specialized review tool for identifying critical performance bottlenecks within Django applications. It focuses on validating issues such as N+1 queries, unbounded querysets, missing database indexes, and write loops. Use this when you suspect database slowdowns or memory exhaustion due to inefficient ORM usage, ensuring findings are provable and actionable.

This skill provides deep technical expertise regarding the DWARF debugging format (v3-v5) and the DWARF standard. It assists in analyzing, parsing, verifying, and generating debug information from compiled binaries. Use cases include answering questions about the DWARF specification, writing code that interacts with DWARF data, and utilizing tools like `dwarfdump` or `readelf` for structural validation and quality metric extraction.

This skill generates a comprehensive, structured medical summary card for quick access during emergencies, travel, or hospital visits. It extracts critical user data, including severe allergies, active medications, chronic conditions, implants, and emergency contacts. Supports multi-format output (HTML, JSON, PDF) and prioritizes information by medical urgency (P0-P2) for rapid deployment in critical situations.

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.

This comprehensive guide details how to establish secure and robust API endpoints using Expo Router and EAS Hosting. Learn best practices for handling server-side secrets (API keys, credentials), proxying third-party services (like OpenAI), executing secure database operations, and implementing complex business logic entirely on the server. It covers file structure, HTTP methods, and deployment to Cloudflare Workers.

Use this guide to build and manage Expo development clients using EAS Build. This is the recommended setup for production-grade testing, allowing developers to test custom native code, local modules, and advanced features that exceed Expo Go's capabilities. It covers local builds, TestFlight submission, and connecting to the Metro bundler.

This skill guide details the integration of Jetpack Compose Views and modifiers into Expo applications. It enables developers to build high-fidelity, Android-native UI experiences by mirroring Jetpack Compose and Material Design 3 patterns within the Expo SDK environment. It provides instructions on using core components like Host, LazyColumn, and various modifiers for advanced Android UI construction.

This guide outlines a systematic process for transforming any recurring technical pattern, complex debugging solution, or workflow into a standalone, portable skill. It details the multi-step extraction workflow, including pattern identification, structured documentation generation (SKILL.md), and quality control checks to ensure the skill can be reused across different projects.

This skill provides deep analytical insights into aggregated family health data. It assesses genetic predisposition, identifies patterns of familial diseases, calculates weighted risk scores based on historical data, and generates personalized, actionable prevention recommendations. Ideal for generating comprehensive family health reports and trend analysis.

This specialized skill acts as an expert AI auditor for Food Safety Modernization Act (FSMA) compliance. It is designed to review critical records, including HACCP plans, Preventive Controls, and Supply Chain documentation for food processing facilities. Use it to simulate FDA inspections, identify compliance gaps (such as missing CCPs or inadequate corrective actions), and receive actionable guidance to ensure the highest standards of food safety.

This specialized AI acts as an auditor for Medical Devices (SaMD) compliance. It reviews critical documentation like Design History Files (DHF) and technical files against major global regulations, including 21 CFR Part 820, IEC 62304, and ISO 13485. It identifies compliance gaps, cites specific regulations, and provides actionable remediation steps to prepare for regulatory audits.

This pattern addresses the fundamental limitation of context window size by treating the filesystem as a persistent, external memory. Agents can write large outputs, plans, or findings to files, offloading them from the active context. Instead of carrying all information, agents use targeted search and retrieval tools to load only the necessary context on demand, drastically reducing token bloat and improving performance over long, complex tasks.