Mark Schneider
Community@schneidermu · Moscow/Innopolis
MSU Chemistry Department (2021-2027)
Agent Skills by Mark Schneider
Showing 17 vetted skills indexed across 1 GitHub repositories.
schneidermushap
Compute SHAP values and generate global and local model explanations.
schneidermuseaborn
Creates statistical plots from pandas DataFrames using the seaborn.objects API.
schneidermuExtract and manipulate PDF content using Python libraries and CLI tools.
schneidermuml-researcher-profile
Synchronize researcher identity and tool preferences across Cursor, Codex, and Claude Code.
schneidermuplotly
Create interactive visualizations in Python with Plotly Express and Graph Objects.
schneidermuscientific-writing
Convert research notes into IMRAD-structured manuscripts with literature-backed outlines.
schneidermuhandoff-context
Automates rewriting CONTEXT.md with goal, progress, blockers, and git state for handoffs.
schneidermumatplotlib
Automate publication-quality Matplotlib visualizations in Python with object-oriented plotting.
schneidermuscientific-visualization
Create publication-ready figures with journal-style formatting and colorblind-safe palettes.
schneidermuobsidian-cli
Automates Obsidian vault interactions including reading, creating, searching, and managing notes and tasks from the command line.
schneidermuresume-project
Resume project workflows by reading AGENTS.md and CONTEXT.md and reviewing git state.
schneidermurdkit
Expose RDKit APIs through Python for molecular analysis workflows.
schneidermupolars
Process dataframes with lazy evaluation, parallelism, and Arrow-backed I/O.
schneidermuhumanizer
Rewrite AI-generated text into natural, human-sounding prose.
schneidermudocx
Format and assemble .docx Word documents with headings, tables of contents, and page numbers.
schneidermuscikit-learn
Build, evaluate, and deploy classical ML models with scikit-learn pipelines.
schneidermupeer-review
Guide reviewers through staged manuscript and grant evaluation checklists.