Skill UI

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

Master comprehensive evaluation strategies for LLM applications, covering automated metrics like BLEU and ROUGE, human evaluation dimensions, and LLM-as-Judge patterns. This skill helps measure performance, compare models, detect regressions, and validate prompt improvements. Includes Python implementation examples for metrics and evaluation suites.

Covers core principles for mobile game development, including touch input handling, battery and thermal optimization, and performance targets. Provides guidance on iOS and Android app store requirements, monetization models, and common anti-patterns to ensure a smooth user experience on constrained mobile platforms.

Expert guidance on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, CRUD operations, and practical integration examples in Python, JavaScript, and curl. Includes best practices for security and performance.

A guide to building robust projections and read models from continuous event streams. This pattern is essential for implementing CQRS read sides, creating materialized views, optimizing query performance, and building complex search indexes in event-sourced architectures. Use it when data needs to be transformed and aggregated from raw events into optimized query structures.

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Covers execution model, performance factors, and practical patterns for improving job speed and scalability.

This guide provides a comprehensive framework for early-stage companies to track, calculate, and optimize their key performance indicators (KPIs). It covers best practices for various startup business models, guiding teams from the initial seed stage through to Series A funding. Use this skill when developing, analyzing, or refining a structured startup metrics strategy.