Skill UI

A comprehensive skill for systematically building, refining, and documenting a project's domain model. It helps define core terminology, establish a ubiquitous language, and record critical architectural decisions (ADRs). Use this when you need to challenge ambiguous language, invent edge-case scenarios, or maintain architectural consistency throughout the development lifecycle.

Specialist in reducing developer friction, automating repetitive tasks, and improving development workflows. Analyzes current setup, identifies pain points, and implements incremental improvements to tooling, scripts, documentation, and IDE configuration. Use for onboarding, build/test feedback, and repeatable scripts.

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.

Agent-native knowledge compiler for embodied-AI development. Consults, searches, and verifies a typed graph of papers, ROS packages, models, datasets, and benchmarks to assemble grounded, source-linked implementation workflows and capabilities.

FAF Expert is an advanced tool for creating standardized, persistent context for complex software projects. It uses the IANA-registered FAF format to transform codebases into AI-intelligent assets. Use it for multi-AI workflow management (Claude, Gemini, etc.), enterprise-grade deployment, and standardizing project context across development lifecycles.

Search live AU/NZ government tenders, rank them against a company's capabilities (from its website), and explain fit with gap analysis for bid preparation. Useful for business development and market research.

This skill enforces strict architectural and performance standards for senior frontend engineers. It guides the creation of scalable React applications using Suspense-first data fetching, feature-based organization, and strict TypeScript discipline. Use it when building components, adding features, fetching data, or refactoring code to ensure maintainability and performance.

Orchestrates game development projects by routing to specialized sub-skills based on platform, dimension, and engine fit. Covers core principles like game loop, pattern selection, input abstraction, performance budgets, AI, and collision strategies. Use when starting or structuring a game project, choosing frameworks, or picking among Phaser, PixiJS, Kaplay, Three.js, Godot, Unity, and more.

This skill enables building production-ready serverless applications on Google Cloud Platform using Cloud Run. It covers containerized services, event-driven functions, cold start optimization, and Pub/Sub integration. Includes guidance on memory management, concurrency settings, and scaling bottlenecks to ensure efficient deployment and cost control.

Build real-time bidirectional streaming applications using the Gemini Live API. Supports WebSocket-based audio/video/text streaming, voice activity detection, function calling, and session management. Includes SDKs for Python and JavaScript for low-latency AI interactions.

This skill provides patterns for automating GitHub workflows with AI assistance. It helps in automating PR reviews, setting up issue triage, creating GitHub Actions workflows, and integrating AI into CI/CD pipelines. It also covers automating Git operations like rebases and cherry-picks. Inspired by modern DevOps practices and tools like Gemini CLI, this skill streamlines development processes and reduces manual effort in repository management.

This skill acts as a ruthless business-idea pathologist to validate concepts before development. It employs a kill-list check, five hard filters (pain, money, demand, legal, moat), a free-AI one-prompt test, and live ad-market verification. The output provides a clear verdict (DEAD or SURVIVED) with a named kill-pattern and evidence, helping founders avoid wasting resources on unviable projects.