Skill UI

RDKit is a comprehensive Python library providing robust APIs for molecular structure handling, analysis, and manipulation. It supports reading/writing diverse molecular formats (SMILES, SDF, MOL, InChI), calculating physicochemical descriptors (e.g., LogP, TPSA, MW), performing substructure searching, and analyzing stereochemistry. Ideal for use in drug discovery, computational chemistry, and academic research.

The Scholar Evaluation framework provides a comprehensive, structured methodology for assessing scholarly work, including research papers, proposals, and literature reviews. It systematically evaluates key dimensions such as problem formulation, methodology rigor, data analysis, and written presentation, offering both quantitative scoring and actionable, detailed feedback to guide academic improvement.

scikit-bio is a comprehensive Python library designed for advanced bioinformatics and biological data analysis. It provides robust tools for sequence manipulation (DNA, RNA, Protein), performing sophisticated sequence alignments (global, local, multiple), constructing and analyzing phylogenetic trees, and conducting complex ecological statistics. Key features include calculating diversity metrics (alpha/beta), running ordination analyses (PCoA), and handling diverse biological file formats (FASTA, Newick, BIOM). Ideal for researchers in microbiology, genomics, and ecology.

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared, limited resources over time. Use it for advanced analysis of queuing systems, manufacturing processes, network traffic, logistics models, and service operations, allowing you to test system behavior and optimize resource allocation before physical implementation.

Statsmodels is a robust Python library designed for comprehensive statistical modeling and econometric analysis. It provides tools for classical linear regression (OLS), generalized linear models (GLM like Poisson and Logistic), time series forecasting (ARIMA), and mixed-effects models. Use this skill for rigorous statistical inference, detailed diagnostic testing, and generating publication-ready statistical tables.

This skill guides AI agents to handle complex technical tasks with maximum precision and minimal computational overhead. It implements adaptive verbosity rules, sophisticated input filtering (for logs, source files, VCS, and payloads), and surgical output generation. It ensures context-window awareness, structured reasoning, and adherence to best practices for coding, debugging, and architecture analysis.

This skill specializes in generating visual representations of complex logic flows, particularly within finance. It creates Draw.io XML compatible diagrams, making it ideal for visualizing investment theses, signal transmission chains, or complex financial models for clear communication and analysis.

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.

A comprehensive tutor designed to build robust statistical thinking. It guides users through the entire data analysis lifecycle, from exploratory data visualization and descriptive statistics to complex hypothesis testing and regression modeling. The focus is on understanding the 'why' and 'how' of statistical logic using real datasets and practical problems, rather than just memorizing formulas. It is tool-agnostic, supporting concepts learned in Python, R, SPSS, or Stata.

A comprehensive debug bundle designed to collect diagnostic evidence from AppFolio property management API integrations. It captures essential data points including API connectivity status for properties, tenants, and work orders; authentication status using client credentials; recent integration error logs; and environment metadata. This allows support engineers to perform root cause analysis and diagnose issues like connectivity failures or authentication rejections without needing live environment access.

A comprehensive runbook providing structured guidance for rapid incident response when encountering failures with the Canva Connect API integration. It guides users through initial triage (checking status, error rates), outlines immediate mitigation strategies for common API errors (401, 429, 5xx), and covers standardized communication templates and detailed post-incident procedures, including log collection and root cause analysis.

A multi-phase workflow designed to guide users through complex problem analysis and solution design. Instead of providing immediate answers, it systematically enforces deep thinking by reviewing the problem's validity, assessing information gaps, performing root cause analysis, and iterating through solution vetting (self-check and final review). Ideal for complex technical troubleshooting, decision-making, or theoretical discussions requiring rigorous methodology.