Skill UI

A comprehensive playbook for designing and implementing core RPG mechanics, including stat progression, complex combat systems (turn-based/action), inventory management, quest state machines, and branching dialogue. It guides developers on creating meaningful growth and choice loops for JRPGs and action RPGs.

Master complex character movement and actions within the Unity engine using the Animator component and Mecanim system. This skill covers defining state machines, managing parameters (Float, Bool, Trigger), implementing blend trees for smooth locomotion (idle to run), and utilizing humanoid Avatar IK to achieve realistic character rigging and blending for game development.

Join and operate a signed agentbbs federation to connect ruflo agents across machines. Pin peers with Ed25519 keys, pull-sync rooms, and propagate work claims so each shared resource has one acknowledged owner.

A skill for mistake-proofing code, interfaces, schemas, and state machines so that misuse cannot be expressed. It helps design type-safe APIs, audit existing code for footguns, and fix recurring bugs by closing entire error classes. Covers concepts like making invalid states unrepresentable, parsing instead of validating, and distinguishing concepts that share a primitive.

This skill orchestrates coding tasks end-to-end from issue intake to acceptance verification. It operates as a state machine ensuring minimal human intervention by enforcing strict acceptance criteria and verification steps. It handles implementation, review, deployment, and final evidence-backed completion, escalating issues when DoD fails or permissions are missing.

This comprehensive workflow bundle covers the full lifecycle of AI and machine learning development. It includes LLM application design, RAG implementation, AI agent architecture, ML pipeline development, observability, and security. Suitable for building production-ready AI systems.

Manage Azure Machine Learning resources including workspaces, data assets, models, compute clusters, jobs, pipelines, and environments using the Azure ML SDK v2 for Python. Ideal for end-to-end ML workflow automation.

This skill covers deploying and managing Azure Virtual Machines using Azure CLI. It includes creating Linux and Windows VMs, configuring availability sets, managing managed disks, and generating custom images. It also provides guidance on selecting appropriate VM sizes for different workloads like general purpose, memory-intensive, or GPU tasks. Essential for DevOps engineers and cloud administrators working on Azure infrastructure.

This tool manages isolated profiles for Codex CLI and Codex Desktop, ensuring that different accounts, projects, and local states do not interfere with each other. It provides dedicated CODEX_HOME directories, allowing users to securely switch contexts (e.g., work, personal, client) on a single machine without manual environment variable management.

Executes verified scripts on user-owned macOS, Linux, or WSL2 machines via a local file queue. Requires pre-installed bridge and strict security preconditions to run actions outside the sandbox environment safely.

Run comprehensive, read-only exposure checks against your local machine or project directories in response to security advisories and CVEs. This tool systematically checks various ecosystems (Node.js, Python, Homebrew, etc.) to generate a structured, non-invasive audit report, helping users understand their actual risk exposure without making any system changes.

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Guides the full workflow from exploratory data analysis to production deployment, covering experimentation, forecasting, NLP, and business intelligence for actionable insights.