Skill UI

A comprehensive guide for structuring the empirical section of high-level machine learning papers (e.g., KDD). It details the 'four-axis evidence plan'—Quality, Scale, Efficiency, and Mechanism—and emphasizes critical data hygiene practices. Learn how to prevent temporal leakage, structure ablations in a matrix format, and design post-launch measurements to ensure academic rigor and reproducibility.

A comprehensive guide detailing the necessary author response techniques for high-stakes academic conferences, particularly focusing on the shift from traditional rebuttals to structured, mandated revision cycles (shepherding). It covers pre-submission pre-mortems, managing mandated changes using a change matrix, and maintaining professional rigor throughout the review process. Ideal for PhD students and researchers.

This skill provides an in-depth, entity-level scorecard for clinical or biomedical Named Entity Recognition (NER) models. It calculates precision, recall, and F1 scores (both strict and partial match modes) using a user-supplied gold corpus. Key features include per-label error breakdown, a confusion matrix, and detailed False Negative/False Positive analysis, essential for debugging model performance in highly sensitive medical domains.

This skill maps the full set of legal obligations under the EU AI Act (Regulation (EU) 2024/1689). It provides a detailed, actionable compliance matrix based on the user's specific organizational role (Provider, Deployer, etc.) and the assessed risk tier of the AI system. It includes RACI assignments and implementation priorities, helping users create a comprehensive compliance checklist.

Utilizes a structured Severity x Likelihood matrix to systematically assess and classify legal risks. This framework helps in-house legal teams evaluate contract exposure, assess potential deal risks, and determine appropriate mitigation actions (e.g., Accept, Mitigate, Escalate). It provides a quantifiable method for risk scoring and classification (Low, Medium, High, Critical).

This skill guides the extraction of structured data from multiple documents (PDF, DOCX) into a comprehensive, cited Excel matrix. It is ideal for legal, contractual, or research review processes where users need to compare specific clauses, provisions, or pieces of information across numerous source files, ensuring every extracted data point includes a citation (page number and context quote) for verifiable accuracy.

This skill helps legal teams evaluate and classify legal risks using a severity and likelihood matrix. It calculates risk scores to determine appropriate actions, from monitoring low risks to escalating critical issues to senior counsel. Useful for contract review, deal exposure analysis, and compliance management.

Creates a personal, motivating daily focus board in a browser canvas, driven by conversation with an AI partner. Tracks task statuses with progress notes, supports numeric goals with progress bars, and includes neurodivergent-friendly features like focus mode, kind carryover, brain-dump box, reduced motion, and gentle deadline countdowns. Priorities via Eisenhower matrix, daily mantra, check-in, and end-of-day recap. Persists in localStorage.

This specialized skill guides the creation of long-form structural critical essays and detailed academic dossiers, primarily for Chinese academic contexts. It utilizes the CrossFrame methodology to first establish a foundational structure, define evidence boundaries, and identify key mechanisms, before applying a critical matrix. The output is highly structured, ensuring depth, rigorous source checking, and comprehensive critical analysis suitable for complex intellectual work.

Security assessment reference for identifying and testing external SSL VPN and remote-access appliances, including Cisco, Fortinet, Citrix, Palo Alto, Pulse, and F5. For authorized engagements only.

Expert guidance for designing, debugging, and securing production-grade GitHub Actions CI/CD workflows, including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, caching, environments, secrets, and release automation.

This skill provides production-ready GitHub Actions workflow patterns for testing, building, and deploying applications. It covers test workflows, matrix builds, artifact publication, and secure deployment strategies. Users should inspect repository scripts and verify action revisions before adoption. It ensures reproducible builds and secure CI/CD pipelines.