Skill UI

This pattern demonstrates how to build a robust, thread-safe data persistence layer in Swift using the 'actor' model. It combines fast in-memory caching with reliable file-backed storage, automatically eliminating data races and the need for manual locks. Ideal for offline-first applications and managing shared mutable state in modern Swift concurrency.

A read-only macOS and Windows storage analysis assistant that scans disk usage, classifies large items by cleanup risk, and generates an interactive HTML report with copyable commands for safe cleanup decisions.

This skill facilitates the persistent storage of critical brand knowledge, including campaign learnings, brand guidelines, and competitive intelligence, into a specialized memory layer (such as a vector database). It automatically indexes content, deduplicates entries via hashing, and applies rich metadata tagging, ensuring that valuable institutional knowledge is preserved and retrievable through natural language search across different sessions.

A comprehensive guide for researchers to determine the optimal venue for their computer systems paper. It teaches the critical differences between broad, practical conferences (like ATC) and selective, specialized venues (like OSDI, SOSP, or NSDI). The guide helps authors assess whether their work is novel, useful, focused on deployed experience, or requires specific networking/storage expertise.

This guide provides rigorous criteria for authors targeting top-tier journals in electrochemical energy storage. It emphasizes that successful submissions must move beyond simple synthesis-plus-capacity reports, instead focusing on robust structure–property–mechanism relationships, supported by advanced operando/in-situ characterization and detailed scientific evidence.

This guide details the USENIX FAST artifact evaluation process, providing systematic advice for researchers submitting system papers. It explains the requirements for earning the three USENIX badges (Available, Functional, Reproduced). Key topics include managing hardware dependencies in storage systems, packaging best practices (e.g., Docker containers, raw logs, comprehensive READMEs), and ensuring the final artifact is maximally reproducible for external evaluation.

A comprehensive methodology for designing scientific and reproducible storage evaluations, particularly for high-stakes submissions. This guide covers controlling device state (aging, preconditioning, TRIM), selecting credible workloads (fio, YCSB), matching metrics (P99.9 latency, bytes-written) to claims, and rigorously testing durability and crash consistency on real hardware.

This guide provides comprehensive best practices for writing the 'Related Work' section for submissions to top-tier storage conferences like FAST. It emphasizes adopting a 'delta-first' contrast approach, requiring authors to position their novelty against the entire spectrum of storage literature (including OSDI, SOSP, and dedicated workshops), rather than merely citing proximate works. It also covers handling concurrent submissions and maintaining double-blind anonymity.

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.

A comprehensive guide for researchers deciding the optimal conference venue (e.g., FAST, OSDI, NSDI, ATC) for their storage-related academic work. It advises on distinguishing a core storage contribution from general systems results, detailing specific contribution shapes FAST rewards, and providing routing logic based on the project's nature and evidence maturity.

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.

A comprehensive guide for authors submitting storage-related research to top-tier conferences (e.g., USENIX FAST). It dictates how to structure the paper, emphasizing leading with the specific storage cost addressed (e.g., write amplification, tail latency, endurance) and grounding all claims in proportional, real-device evidence rather than generic performance statements. Essential for ensuring technical rigor and reviewer trust.