Skill UI

A comprehensive guide to modeling the specific peer review cycle of MLSys submissions. It details the OpenReview workflow, the challenges posed by the mixed ML and systems reviewer pool, and provides strategic advice on addressing concerns related to workload representativeness, baseline strength, and evidence scope matching for high-stakes technical papers.

This comprehensive guide provides expert methodologies for authors writing the 'Related Work' section for top-tier networked systems research papers (e.g., NSDI, SIGCOMM, OSDI). It details the required literature coverage gaps, strategic positioning techniques (e.g., delta by mechanism), academic verification protocols, and double-blind submission rules necessary to ensure the work is academically rigorous and highly competitive.

This skill provides a detailed guide to the requirements and positioning of Science Robotics (Sci Robot), an AAAS journal. It helps authors determine if their robotics research meets the high bar for broad scientific or societal significance. Key areas covered include demonstrated real-world capability, required quantification of physical performance, AAAS submission structure, and best practices for venue selection, making it essential for authors targeting top-tier journals.

Provides a comprehensive guide on structuring the 'Related Work' section for top-tier computer graphics conferences like SIGGRAPH. It teaches authors how to position a new contribution based on 'capability delta' (what prior methods fail to do) rather than chronology, covering specialized technical lanes (rendering, geometry, AI for graphics) and managing complex academic attribution.

This guide details the rigorous academic review process for ACM Symposium on Cloud Computing (SoCC) submissions. It explains the dual-anonymous, two-round review structure, the importance of incorporating both systems performance and data measurement rigor (including tail latency and cost), and how the rebuttal period functions. Essential reading for authors aiming to publish in top-tier cloud computing venues.

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.

A rigorous guide for drafting high-stakes, technical security papers for the USENIX Security Symposium. It mandates a threat-model-first structure, requiring authors to quantify all security claims with measurable data to avoid hyperbole. The guide also details integrating responsible disclosure narratives and adhering to strict academic formatting rules.

This specialized skill is designed for advanced security analysis, tracing the complete trust chain from cloud metadata services to accepted privilege. It is used in penetration testing or CTF environments to meticulously prove how metadata-derived credentials (such as instance identities or tokens) are issued and subsequently accepted by a cloud or control plane API, thereby exposing the decisive trust edge.

A specialized skill for analyzing the discrepancy between static Kubernetes/Compose manifests and the actual live operational state of a container runtime. It traces complex dependencies, such as secrets consumption, sidecar/init container modifications, network routing, and mounted volume paths. Use this when the core challenge involves proving how the live execution path differs from the documented intent, forming a minimal, verifiable evidence chain.

A comprehensive framework for authorized security assessments of Operational Technology (OT) and Industrial Control Systems (ICS). It emphasizes a 'passive-first' approach, covering Purdue model zoning, analyzing industrial protocols (Modbus, DNP3, etc.), and identifying exposure points on SCADA/DCS environments. The methodology strictly avoids disruptive write operations on PLCs, prioritizing read-only validation and safe network analysis for physical safety.

Provides a comprehensive framework for blue-team threat hunting and detection engineering. Users learn hypothesis-driven hunting techniques, optimize SIEM queries, and build robust detection rules using industry standards like Sigma and YARA. Essential for minimizing false positives and validating security controls in a defensive posture.

This adapter acts as a specialized entry point for authorized security analysis, reverse engineering, and CTF tasks using the 'reverse-skill' repository. It guides users through a systematic, multi-step workflow, ensuring that all actions—from setting initial scope to resolving tools—are executed within the defined security contract of the repository. Ideal for defensive testing and deep technical investigations.