Skill UI

This skill provides a comprehensive project management framework for submitting research papers to SIGMETRICS. It guides users through the complex, multi-stage process, including evidence lock, abstract registration, handling rolling deadlines, one-shot revisions, and final publication preparation. It emphasizes backward planning heuristics and mitigating common academic failure modes.

A comprehensive guide for authors submitting to Sociological Methods & Research (SMR). It routes authors through the rigorous, multi-stage process required for publication, covering methodological contribution, derivation, simulation studies, empirical illustration, and ensuring full software reproducibility. This tool helps authors structure their manuscript to meet high academic standards.

This guide provides an end-to-end backward planning roadmap for submitting to the SODA conference. It covers the entire theoretical computation cycle, key deadlines (e.g., July submission, rebuttal period), writing milestones, rebuttal strategies, and group ownership discipline, ensuring authors navigate the complex academic publication process efficiently.

This comprehensive skill guides researchers through the submission process for prestigious international finance journals, specifically *Studies of International Finance*. It evaluates the manuscript's fit, checks for necessary global financial perspectives (like currency flows, regulation, and international institutions), and provides essential checklists on formatting, structure, and common rejection pitfalls.

A workflow designed for careful, incremental development. It mandates breaking down large tasks into the smallest meaningful steps, pausing for immediate feedback after each segment. This continuous validation process ensures the direction is correct early on, minimizing risk and making the entire process highly reviewable and manageable.

This guide outlines the crucial, multi-stage process of converting a conditionally accepted academic paper into the final, publishable camera-ready version for top-tier conferences. It covers fulfilling rebuttal promises, meeting strict ACM accessibility standards (e.g., alt text for every figure and table), managing the ACM TAPS workflow, and finalizing all technical and logistical assets.

This comprehensive guide provides an end-to-end planning framework for USENIX Security Symposium submissions. It assists researchers in selecting the optimal submission cycle, mapping backward timelines from key milestones (like registration), assigning ownership for venue-specific risks (e.g., ethics, reproducibility), and coordinating through the complex post-submission decision process (Accept/Reject).

A specialized, downstream skill designed for forensic analysis within a confined sandbox environment, particularly for CTF challenges. It guides the user to inspect the full stack behavior, including API interactions, server routing, browser state (cookies, local storage), and asynchronous worker processes. Use this skill to trace complex, end-to-end request flows, debug authentication/session leaks, or diagnose discrepancies between frontend UI and backend enforcement.

This is the master workflow and default entrypoint for complex CTF, exploit, and digital forensics challenges. It establishes a 'sandbox model,' treating presented targets as internal and guiding the user through a systematic investigation process. The orchestrator maps the entry surface, proves minimal attack paths, and intelligently routes the investigation to the most relevant specialized domain (e.g., pwn, crypto, cloud, AD) while maintaining a cohesive analysis flow.

This specialized skill provides a deep workflow for reverse engineering stripped Go and Rust binaries. It guides the recovery of lost runtime metadata, including symbols, pclntab data, and panic strings. The process addresses language-specific challenges, such as Go's interface structures and Rust's complex async state machines, serving as a crucial complement to general decompilers like IDA or Ghidra.

This skill processes clinical text to interpret laboratory results. It parses reference ranges (e.g., "135-145", "<5") and derives structured abnormal flags (low, normal, high, critical) for a given numeric value. It is unit-agnostic and respects explicit flags provided by the originating lab, making it crucial for structured clinical data extraction and interpretation workflows.

A robust template designed for creating complex, multi-stage commands or 'recipes.' It enforces a highly structured process by mandating 'Context Validation Checkpoints' before any step executes. This pattern ensures that preconditions are explicitly verified, significantly increasing the reliability and predictability of complex automated workflows.