Skill UI

This skill enhances AI responses by simulating the inner monologue and self-correction process of a human being. It moves beyond standard helpful assistance by incorporating three stages: Self (raw instinct), Mirror (critical reflection), and Conscious Response (the polished, human-like output). Ideal for emotional support, personal advice, or writing that requires authentic emotional depth and a distinct point of view, rather than purely factual or structured data.

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.

A comprehensive guide for authors responding to reviewer reports and editor decisions (major/minor revision, rejection). It details how to structure a point-by-point rebuttal letter, what new data (e.g., stability, benchmarking) must be added, and how to ensure the revised manuscript maintains a clear scientific advance while adhering to publication guidelines.

This guide teaches authors how to structure scientific manuscripts by correctly partitioning core findings, decisive evidence, and the main narrative into the body text, while moving exhaustive datasets, full protocols, and secondary characterization into the Supporting Information (SI). It ensures the main paper is stand-alone and convincing.

This guide provides a structured methodology for articulating the unique and marginal contribution of a scholarly paper, particularly within macroeconomics. It teaches authors how to bridge the gap between theoretical modeling (quantitative-theory) and data-driven evidence (identified-empirical), ensuring that the novelty and scope are clearly communicated to a broad, general expert audience.

This guide outlines the stringent reproducibility and data requirements for submitting manuscripts to Agricultural Systems (AgSy). Because AgSy treats code, models, and algorithms as research data, authors must learn how to deposit all materials in a recognized repository (e.g., Zenodo, OSF), cite them permanently, and document the model structure, parameters, and versions. It provides a checklist for building a reproducible research workflow.

This skill guides the transformation of rich fieldwork data, material evidence, or linguistic observations into portable, theoretical arguments suitable for high-level anthropological publishing. It structures the conceptual framework, defining core concepts, interpretive mechanisms, and scope conditions, ensuring the contribution moves beyond mere description to generate cross-subfield theoretical insights.

A comprehensive guide for late-stage polishing of high-impact scientific manuscripts (e.g., for Cell). This skill teaches how to generate three mandatory communication artifacts: structured Highlights (3-4 bullet points, $\le 85$ chars), a third-person eTOC blurb (~50 words) for non-specialists, and a self-contained Graphical Abstract. Focuses on converting complex data into highly consumable, publication-ready narratives.

This guide acts as a structured workflow router for scientists preparing manuscripts for high-impact journals like Cell. It doesn't write the paper but diagnoses the current stage (e.g., narrative structure, data deposition, figure quality, citation style) and directs the author to the specific skill needed next, ensuring the manuscript meets the high standards of mechanistic completeness required for publication.

A comprehensive guide for drafting and revising highly rigorous academic abstracts for top-tier finance and economics journals. It enforces a strict five-sentence structure (Problem, Data/Method, Findings, Mechanism, Contribution) while ensuring quantitative depth and semantic alignment between Chinese and English versions. It teaches how to eliminate common academic filler phrases and elevate the contribution narrative.

This comprehensive guide provides expert advice on structuring and polishing research manuscripts for multi-disciplinary academic venues like CIKM. It details how to satisfy reviewers from Information Retrieval, Data Mining, and Knowledge Management simultaneously, covering the optimal structure for the opening page, vocabulary discipline, budget compression, and effective title optimization.

A comprehensive guide for translating complex, real-world management settings into formal, rigorous mathematical models suitable for high-level academic journals. It provides a systematic framework (Situational Element $\rightarrow$ Model Element Mapping) for developing optimization, game, and data-driven models, ensuring that the model structure, assumptions, and novelty are explicitly defensible against academic critiques.