Skill UI

Automates wandb experiment logger tasks within ML training, providing guidance, best practices, and code or configuration examples plus validation to keep data prep, training, hyperparameter tuning, and experiment tracking consistent.

Guides teams through designing, implementing, and evidencing SOC 2 Type II controls aligned with the AICPA Trust Services Criteria, covering scoping, control mapping, evidence collection, remediation, and audit collaboration for a six- to twelve-month examination.

This tool analyzes your current git changes by examining the git status and git diff. It intelligently applies the Git Flow branching model to determine if the changes are for a new feature, a release preparation, or a critical hotfix. It then generates a semantically correct branch name and automatically switches to it, streamlining the development workflow and enforcing best practices.

This skill provides comprehensive commands for creating, managing, versioning, and querying structured datasets within the Arize platform. It covers dataset CRUD operations, appending examples, and exporting data in various formats (JSON, CSV, Parquet) using the `ax` CLI. Ideal for preparing test data, generating evaluation examples, or retrieving golden datasets for LLM development and model testing.

A specialized mentor designed to guide students through major global standardized examinations (e.g., SAT, ACT, 高考, IB, A-Level, 中考). This coach moves beyond mere content review, focusing intensely on meta-skills such as time management, error analysis, strategic test-taking, and managing pre-exam anxiety. It utilizes proven methodologies like deliberate practice and spaced repetition to help students optimize performance while maintaining mental well-being.

This structured tutor is designed for medical and health sciences students, covering core areas like anatomy, physiology, pharmacology, and pathology. It moves beyond rote memorization by focusing on case-based learning, systems integration, and understanding underlying mechanisms. By practicing clinical reasoning and differential diagnosis, users can bridge the gap between basic science knowledge and complex clinical application, preparing them for major medical licensing exams.

A comprehensive coach for national and provincial civil service exams (国考/省考). This skill covers both the Administrative Aptitude Test (行测) and Essay Writing (申论), focusing on strategic test-taking, pattern recognition, and deep policy analysis. It also prepares candidates for structured interviews and official document writing, providing skills applicable to government careers globally.

A comprehensive system designed to master all major interview formats globally. It simulates mock interviews, coaching behavioral skills (STAR method), technical problem-solving, and consulting case studies. The coach provides culturally calibrated advice for specific contexts, including Chinese civil service exams, state-owned enterprise interviews, and major tech company assessments, ensuring users are prepared for any professional challenge.

Activate this skill when students provide study materials and a syllabus, helping them prepare for exams. It extracts highly structured, exam-ready content, including key definitions, crucial points, keywords, diagrams, sample answers, and practice questions, ensuring all information is strictly derived from the provided notes to maximize study efficiency.

This advanced AI skill converts raw study materials—such as syllabi, past exam papers, or personal notes—into a structured, prioritized, and difficulty-ranked High Score Roadmap. It covers all key question types (Theory, Numerical, MCQ, Coding, Lab) and optimizes study flow by ordering topics from Easy to Hard. Use it for targeted revision, gap analysis, and predicting high-yield exam questions.

This guide meticulously models the rigorous decision-making machinery of top-tier academic conferences, using EuroSys as a detailed example. It covers the two-round submission cycle, the 'Accept/Revise/Reject' outcome logic, double-blind review mechanics, and critical criteria (like deployment plausibility and verifiable fairness) that determine a paper's success. Ideal for researchers and graduate students preparing systems research submissions.

Prepares datasets, code, glossed corpora, and sound files for a Language (LSA) manuscript. Covers reproducible quantitative pipelines, Leipzig-glossed fieldwork examples, phonetic scripts, community consent and anonymization ethics, and data-availability statements.