Skill UI

A guide for authors submitting research in software testing and analysis. It teaches how to structure the related work section to clearly demonstrate novelty and technical positioning. Authors must frame their contribution using a 'delta-first' approach, explicitly stating what the nearest existing technique lacks and how their work fills that gap, while also being vigilant about venue attribution and overlapping prior work.

Provides comprehensive guidelines for achieving high reproducibility and verifiability in academic research submissions, particularly for software analysis, fuzzing, and bug finding. It details the necessity of pinning substrates (like benchmark versions and program SHAs), fixing stochastic parameters (seeds and budgets), and mapping every empirical claim to verifiable evidence to meet stringent academic evaluation criteria.

This guide helps researchers determine the optimal conference or journal venue for their software engineering contribution. It specifically addresses whether the core of the work is a testing or analysis technique evaluated on real subjects (ISSTA), or if it fits better within broader Software Engineering (ICSE/FSE), formal verification (PLDI/CAV), or applied domains.

A comprehensive guide for econometricians submitting manuscripts to top journals. It details how to structure analyses for full reproducibility, including using master scripts, pinning software versions, and exporting results to plain-text formats. Coverage includes advanced robust inference techniques such as HAC, cluster bootstrapping, and weak-IV diagnostics, ensuring the work satisfies rigorous archival standards.

This guide provides comprehensive advice for positioning computer science manuscripts, particularly those involving software repository mining, developer behavior, and empirical methods, for the Mining Software Repositories (MSR) conference. It covers required elements like dataset construction, validity threat analysis, reproducible workflows, and aligning the work with the specific scope of software analytics venues, helping authors strategically re-frame their research for maximum impact.

This skill assists software engineers through the entire technical job search cycle. It provides structured analysis for job descriptions (identifying must-haves, red flags), optimizes CVs for specific roles, guides writing compelling cover letters, evaluates total compensation packages, and crafts professional post-interview follow-up emails, ensuring the job search process is professional and highly targeted.

A comprehensive guide for positioning computer science manuscripts for top-tier security conferences like USENIX Security. It covers core topics (systems, network, privacy, software security), required evidence (rigorous artifact, measurement, vulnerability analysis), and strategic advice on framing the work to meet adversarial reviewer expectations. Ideal for authors preparing high-stakes academic submissions.

A comprehensive guide for assembling a reproducible data and code package for publishing economic manuscripts, specialized for World Bank Economic Review (WBER) standards. It details best practices for data availability statements, handling restricted microdata, pinning software versions, and ensuring full transparency throughout the analysis pipeline.

This advanced skill specializes in tracing the complete provenance of software artifacts across the entire development lifecycle. It is designed for deep security analysis of CI/CD pipelines, identifying dependency drift, build tampering, package origin, and determining the final artifact consumed at runtime. Use it when investigating integrity vulnerabilities in complex release flows.

Provides comprehensive techniques for reverse engineering complex software targets. Use this when the primary goal is to understand the internal workings of compiled, obfuscated, packed, or virtualized binaries (including APKs, WASM, and firmware). It covers static and dynamic analysis, anti-debugging bypass, and deobfuscation methods, helping users understand the target code's internal mechanisms for security research and vulnerability analysis.

A comprehensive framework for assessing software supply chain security. It covers generating Software Bill of Materials (SBOM), performing Software Composition Analysis (SCA) on open-source dependencies, auditing CI/CD pipelines, and analyzing container images. This skill helps identify vulnerabilities, ensure build integrity, and verify component provenance across the entire development lifecycle.