Skill UI

This comprehensive skill guides the deployment and utilization of MISP, a powerful open-source threat intelligence platform. It covers configuring various threat feeds (TAXII, CSV, etc.) and using the PyMISP Python API to programmatically automate the collection, storage, and correlation of Indicators of Compromise (IOCs) and threat events from diverse community and commercial sources.

This skill generates a sophisticated, single-screen consumer dashboard mimicking a high-end lifestyle publication's dating column. It moves beyond simple swiping mechanics to visualize complex social metrics, mutual matches, and connectivity trends using editorial typography and restrained design. Ideal for concepts requiring data-driven storytelling about personal or community relationships.

This skill helps discover natural groupings within a large collection of semantic embeddings using the `ruvector` tool. It employs graph-based algorithms (Spectral/Louvain) to cluster code or data, revealing underlying themes, identifying outliers, and organizing vast vector sets. Ideal for analyzing codebases or large datasets to understand relationships between entries.

This skill serves as a comprehensive guide for authors submitting manuscripts to highly selective pure mathematics journals like Acta Mathematica. It assesses the work's significance, intellectual fit, required level of rigor, structural integrity, and adherence to top-tier academic standards, ensuring the research is ready for the global mathematical research community.

A comprehensive guide detailing best practices for achieving research transparency and reproducibility, especially for HCI and related scientific studies. It outlines three critical layers of documentation—Protocol, Analysis, and Data—to ensure that studies can be reliably verified and built upon by the academic community.

This guide helps researchers assess if their work correctly spans the tri-community area of Information Retrieval, Data Mining, and Knowledge Management. It provides a detailed framework for comparing CIKM against major academic venues like SIGIR, KDD, WSDM, and SIGMOD/VLDB, ensuring the paper's scope is optimally matched to the target conference.

This guide outlines best practices for achieving high levels of research reproducibility for academic papers, particularly in database and systems research. It details methods for pinning dataset versions, logging system environments, mapping empirical claims to verifiable evidence, and structuring availability statements. Adherence ensures the work is robust, transparent, and fully verifiable by the scientific community.

This guide provides best practices for ensuring scientific reproducibility in Earth and Planetary Science Letters (EPSL) manuscripts. It details how to structure supplementary materials, data tables, and analytical code to comply with modern research data policies (FAIR principles). It directs authors on depositing data into recognized community repositories (e.g., PANGAEA, Zenodo, EarthChem), ensuring that the paper's findings can be independently validated by any reader.

This skill provides comprehensive guidance for authors submitting Information Retrieval (IR) manuscripts to the European Conference on Information Retrieval (ECIR). It assists in strategically positioning the work by defining scope fit, structuring the evidence (e.g., baselines, error analysis), aligning with the rigorous standards of the European IR community, and guiding the differentiation of the contribution against similar top-tier venues like SIGIR or CIKM. Essential tool for pre-submission refinement.

This guide details the process of packaging artifacts for academic conferences (ICLR), ensuring that research claims are fully reproducible and reviewable. It emphasizes providing minimal reproduction paths, maintaining data provenance, rigorously anonymizing metadata to protect authors' identities, and creating robust, permanent records for the scholarly community.

A comprehensive guide for positioning visualization and visual analytics manuscripts for the IEEE Pacific Visualization Symposium (PacificVis). This skill helps authors refine their scope, evidence presentation, and overall narrative to match the unique requirements and review expectations of this top-tier conference. It acts as a fit/framing tool for conference submission strategy, ensuring the work is appropriately targeted for the Asia-Pacific community focus.

A comprehensive guide for researchers on preparing, archiving, and declaring the availability of research artifacts (datasets, code, and platforms) for academic publication. It details best practices for provenance tracking, ensuring reproducibility, and meeting the standards required for community contribution awards.