Skill UI

This skill serves as the central entry point for comprehensive API security testing. It guides testers to systematically categorize and prioritize potential vulnerabilities by focusing on core dimensions such as documentation review (Recon), object-level authorization (BOLA), token integrity (JWT), and complex data structures (GraphQL/Hidden Params). Use this as the initial step when assessing a new REST or GraphQL endpoint.

This skill generates structured, professional summaries for clinical case presentations, handovers, and educational documentation. It supports established medical formats like SBAR and SOAP notes, ensuring all necessary components—from subjective complaints to recommendations—are systematically included. Designed for healthcare professionals to improve documentation clarity and facilitate seamless patient transitions. Note: This output is strictly for educational and documentation purposes and must not replace professional clinical judgment.

This skill transforms raw notes, bullet points, or unstructured memories into comprehensive, professional performance reviews. It structures the output for various review types (Self-assessment, Manager, Peer, 360 feedback), ensuring coverage of key achievements, core strengths, constructive areas for growth, and measurable development goals. Ideal for annual reviews, mid-year check-ins, and formal performance documentation.

This skill is designed to review Chinese skill documentation to ensure it meets publishing standards. It systematically checks the clarity of descriptions and the executability of process steps, providing structured feedback in Chinese while maintaining necessary machine enumeration values for technical integrity.

This guide provides expert knowledge on the history, etymology, and correct modern usage of the em dash (—). It covers various punctuation marks—including commas, semicolons, and colons—and offers specific guidelines on when to use them in professional writing, technical documentation, and code comments. It emphasizes adapting punctuation rules for different media types.

This guide details the rigorous process of preparing research artifacts for formal evaluation at major academic conferences like ICSE. It covers achieving ACM badges (Available, Reusable, Reproduced/Replicated) by ensuring proper DOI archiving, open licensing, robust documentation, and verifiable reproducibility for external reviewers, transforming raw research into publishable, trustworthy assets.

This guide provides a strategic framework for authors responding to rigorous peer reviews in high-stakes academic venues. It details how to manage both short-term rebuttals and full revision submissions, covering objection triage (misreading, evidence gaps, adaptive attacks), precise scope definitions, and the formal documentation required for ethics and methodology. Learn to structure your response to maximize acceptance probability.

This guide helps authors prepare manuscripts for high-impact journals, specifically detailing the mandatory requirements for data and code transparency (e.g., JPART). It outlines how to build a complete, reproducible package, including master scripts, documentation (README), data availability statements, and managing potential data restrictions, ensuring publication acceptance is not stalled by materials.

A comprehensive preflight checklist for submitting academic manuscripts to the Journal of Urban Economics (JUE) via Elsevier Editorial Manager. It guides authors on mandatory formatting standards, required documentation (e.g., standard errors, exhibits), submission fees, and critical strategic elements like the confidential data exemption and structuring the cover letter. Use this before final submission to ensure compliance and maximize acceptance chances.

This guide outlines best practices for Nature Geoscience authors, detailing how to separate essential narrative (Main Text) from comprehensive, reproducible documentation (Online Methods). It emphasizes grounding every quantitative claim, quantifying uncertainty, and ensuring full data and code availability to meet high academic standards and pass rigorous peer review.

This skill guides researchers in transforming raw empirical findings into robust, portable, field-level theoretical contributions suitable for top-tier journals. It provides a structured framework for elevating results by defining explicit communication mechanisms, establishing scope conditions, and articulating observable implications. It ensures the work contributes to the core body of theoretical communication knowledge, moving beyond simple effect documentation.

Transforms complex code and technical concepts into step-by-step tutorials with hands-on examples, exercises, and progressive learning paths for onboarding, documentation, and educational content.