Skill UI

This component is an essential extension for KubeSphere Observability Platform, designed for comprehensive collection, processing, and storage of Kubernetes and KubeSphere audit events. It supports various sinks, including OpenSearch and Doris, and provides an API for querying historical audit data, ensuring robust auditing capabilities for platform operations.

A comprehensive guide to deploying cloud-native deception across AWS, Azure, and GCP. This skill utilizes decoy resources—such as canary IAM keys, honey object storage buckets, and decoy secrets—whose sole purpose is to generate high-fidelity alerts the instant they are interacted with by an attacker. It detects cloud reconnaissance, credential theft, and lateral movement by wiring detection through native logging services (CloudTrail, Sentinel, Cloud Audit Logs), ensuring near-zero false positives for the SOC.

rclone is a powerful, feature-rich command-line utility designed to manage files across diverse cloud storage backends, including S3-compatible services. It provides robust, reliable equivalents to core Unix commands (sync, copy, move, mount). Use this skill for all terminal-based cloud operations, such as syncing, backing up, downloading, or managing remote data securely.

This comprehensive guide outlines best practices for achieving rigorous scientific reproducibility, especially for research involving storage systems and hardware dependencies. It mandates documenting not only the code but also the specific device models, firmware versions, operating states, and full measurement protocols to ensure verifiable results by peer readers.

This guide provides a comprehensive project management workflow for submitting research to the USENIX FAST conference. It covers the entire academic lifecycle, detailing milestones from initial topic selection and evidence locking to double-blind submission, author response, and managing the complex two-deadline cycle, including potential one-shot revisions. Use this to back-plan your research schedule based on concrete storage measurement timelines.

This skill helps authors determine if their manuscript is suitable for the International Conference for High Performance Computing, Networking, Storage and Analysis (SC). It provides comprehensive guidelines on framing the work, establishing the evidence bar (requiring scale, performance portability, and systems impact), and positioning the contribution for a top-tier HPC flagship venue. Use it for strategic venue selection and manuscript re-framing.

A comprehensive guide for optimizing computer science manuscripts targeting the USENIX Annual Technical Conference (ATC). It covers core systems research fields (OS, networking, storage, security), defining the required evidence bar (built artifacts, clean evaluation), and re-framing the paper's contribution to align with top-tier systems venue expectations.

A specialized guide for assessing whether a storage systems or file system manuscript fits the USENIX FAST conference. It covers venue positioning, required evidence (realistic workloads, fault models), appropriate framing, and comparison methodologies necessary for top-tier systems conference submissions.