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Found 2,230 Skills
Code review and PR review skill for Python PySide6/Qt 6.8+ applications. Focuses on modern best practices, performance, thread safety, signal/slot patterns, Model/View architecture, QML integration, and async patterns. Use when reviewing Python Qt code, PySide6 PRs, GUI application code, or when asked to review code that uses QtWidgets, QtQuick, QtCore, QtGui, or any Qt module. Catches common anti-patterns, memory issues, thread violations, and suggests modern Qt 6.8+ idioms.
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data. Use when the user asks for a diagram, architecture overview, diff review, plan review, project recap, comparison table, or any visual explanation of technical concepts. Also use proactively when you are about to render a complex ASCII table (4+ rows or 3+ columns) — present it as a styled HTML page instead.
FuseCore Modular Architecture - Laravel 12 modular monolith with auto-discovery, React integration, and SOLID principles. Use when creating modules, understanding FuseCore structure, or implementing features in FuseCore projects.
Manages .NET project setup, build systems, and developer tooling including solution structure, MSBuild (authoring, tasks, Directory.Build), build optimization, performance patterns, profiling (dotnet-counters/trace/dump), Native AOT publishing, trimming, GC/memory tuning, CLI app architecture (System.CommandLine, Spectre.Console, Terminal.Gui), docs generation, tool management, version detection/upgrade, and solution navigation.
Comprehensive documentation audit and generation. Launches parallel agents for high-level docs, module-level docs, decision records, and state diagrams. Use when: documentation gaps, post-implementation docs, README updates, architecture docs.
Swift language patterns and best practices including concurrency, performance, and modern idioms. Use for Swift language-level code review or architecture guidance.
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes memory architecture with pre-compaction flush (so context survives when the window fills), reverse prompting (surfaces ideas you didn't know to ask for), security hardening, self-healing patterns (diagnoses and fixes its own issues), and alignment systems (stays on mission, remembers who it serves). Battle-tested patterns for agents that learn from every interaction and create value without being asked.
AI-driven Game Development Studio using BMAD methodology. Routes game projects through Pre-production, Design, Architecture, Production, and Game Testing phases with 6 specialized agents. Supports Unity, Unreal Engine, Godot, and custom engines.
Architecture Diagram Creator - Auto-activating skill for Visual Content. Triggers on: architecture diagram creator, architecture diagram creator Part of the Visual Content skill category.
Iterative codebase quality audit with multi-agent validation and escalating-depth SEEK/VALIDATE/FIX/RECURSE cycle. Use for quality audit, code audit, codebase review, technical debt audit, refactoring opportunities, module quality check, or architecture review.
Manage tasks, track progress, and log daily updates via the ai-todo CLI. Trigger scenarios: 1) EXPLICIT — user mentions tasks, todos, to-do lists, progress tracking, daily standup, sprint planning, project management, work logs, or task completion. 2) POST-ACTION (proactive) — after git commit, git push, deploy to Vercel, merge PR, release, or any significant milestone (feature implemented, bug fixed, refactor done), proactively log progress and update/complete related tasks. When git-tools or vercel:deploy skill finishes, ALWAYS trigger this skill to record what was accomplished. 3) PRE-ACTION (proactive) — when user discusses implementation plans, architecture design, feature breakdown, technical specs, RFC, sprint planning, or requirement analysis, proactively suggest creating tasks to track planned work. When brainstorming skill completes, trigger this skill to convert outcomes into trackable tasks. 4) SESSION-END — when a work session involves substantial code changes, suggest a progress summary before ending. This skill connects to ai-todo (https://ai-todo.stringzhao.life) for persistent task management across sessions.