Skill UI

This skill provides expert guidance on diagnosing and resolving Odoo performance issues, including slow queries, worker configuration, memory limits, and PostgreSQL tuning. It covers using built-in profiling tools and optimizing odoo.conf for specific server specifications to ensure stable production environments.

A comprehensive guide for profiling, analyzing, and optimizing Python code. It addresses identifying performance bottlenecks related to CPU usage, excessive memory consumption, I/O operations, and slow data processing. Use this skill to improve application speed and efficiency in production environments.

Reference document for monopoly scale-benchmarks. Provides quick formulas for converting DAU to RPS, storage and bandwidth estimation, known scale limits of common technologies (databases, queues, caching), capacity planning by user scale (1K to 10M DAU), SLO targets, and latency budget guidelines. Useful for system design, capacity planning, and architecture decisions.

Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to balance reliability with innovation velocity. Includes Prometheus recording rules, alerting configurations, and error budget policies for measuring service reliability targets.

Diagnose slow SQL queries using execution plans, preserve results, and validate indexing or query modifications against representative data. This skill helps debug performance issues, design efficient schemas, reduce database load, and improve application scalability for growing datasets.

Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use for SLO tracking, incident command centers, and standardizing dashboard patterns.

Build authored procedural buildings and architectural kits in Three.js, covering massing grammars, exposed edges, façade bays, roofs, ornaments, material-slot mesh compilation, and deterministic variants.

This skill performs a quick automated lint scan to detect common design system violations in seconds. It checks for hardcoded colors, raw pixel values, old width/height syntax, physical properties, forbidden colors, missing data-slots, and improper className usage. Ideal for running after every file change to maintain design consistency and prevent technical debt in UI development projects using design tokens.

Rewrites commit messages to sound like a careful human engineer wrote them. Strips AI/marketing slop (e.g., 'comprehensive solution', 'robust implementation', 'leverage') while keeping Conventional Commits format. Ensures direct, specific, and imperative subject lines with optional context-rich body. Ideal for developers who want clean, professional git history without AI-generated jargon.

This skill humanizes natural-language memory files like CLAUDE.md, AGENTS.md, and docs by removing AI-isms and adding burstiness. It offers deterministic and LLM modes, preserves code blocks, URLs, paths, and headings, and creates backups. Ideal for cleaning up AI-generated content in configuration files and documentation.

Skill for building powerful frontend claude.ai artifacts using React 18, TypeScript, Vite, Parcel, Tailwind CSS and shadcn/ui. Provides scripts to initialize, develop, bundle and test artifacts, with guidance to avoid common AI slop design patterns.