Skill UI

This skill utilizes the Gemini Nano Banana Pro model to generate and edit high-quality images. It is ideal for users needing to create visuals, generate product mockups, design logos, or perform complex photo editing tasks based on text prompts. Supports file-based API calls for robust operation.

This skill executes an LLM Council workflow, allowing multiple open-weight large language models (LLMs) to independently answer a prompt. The process involves parallel deliberation, peer ranking, and final synthesis by a designated Chairman LLM, providing a comprehensive and highly vetted final answer. Ideal for complex problem-solving and critical analysis.

This skill uses Python and boto3 to analyze AWS CloudTrail logs. It establishes statistical baselines of normal API activity and detects various anomalies, such as unusual event sources, first-time API usage, geographic IP deviations, and high-frequency calls. This is critical for identifying credential compromise, privilege escalation, and unauthorized resource access in a security incident.

This skill manages the entire lifecycle of long-running deep learning training and inference jobs deployed on remote, ephemeral computing environments (e.g., AutoDL, RunPod, bare SSH, Slurm, K8s). It provides critical capabilities like resilient checkpointing, managing spot instance preemption, debugging resource failures (OOM, NaN), and ensuring safe billing teardown, making it essential for professional ML Ops on rented resources.