jkitchin

Structured planning and project breakdown using proven methodologies for goals, projects, and strategic initiatives. Use when users need to create plans, break down complex projects, set milestones, estimate timelines, identify dependencies, or develop action…

Expert guidance for writing professional Python code following industry best practices including PEP 8 compliance, testing, type hints, error handling, and modern tooling. Use this skill when writing new Python code, refactoring existing code, setting up…

Conduct systematic scientific literature reviews by integrating multi-source searches, iterative analysis, and synthesis into well-structured reports with proper citations. Use this skill when you need to: synthesize knowledge across multiple research…

Expert evaluation of Chemical Engineering PhD qualifying exams - review written reports, presentations, and prepare comprehensive questioning sessions to assess student readiness for doctoral research

Comprehensive scientific writing guidance for research papers, grants, and technical documentation. Covers paper structure (IMRAD), methods writing, results presentation, figure/table design, citation formatting, abstract writing, and revision responses. Use…

Structured brainstorming and ideation facilitation using proven creativity techniques. Use when users want to generate ideas, explore solutions, break through creative blocks, or need facilitated ideation sessions. Triggers include requests like 'help me…

AI-powered image generation and editing using Google Gemini, Google Imagen, and OpenAI models. Generate images from text descriptions, edit existing images, create logos/stickers, apply style transfers, and produce product mockups. Use this skill when the…

Comprehensive code review and analysis for software quality assurance. Use when Claude needs to review code in any format including (1) Individual files (Python, R, JavaScript, etc.), (2) Directory structures and project organization, (3) Scripts and…

LLM-compiled knowledge base management. Ingests primary sources (papers, notebooks, data), distills them into interlinked org-mode wiki articles, and provides structured search over the wiki graph database. Triggers: "ingest this", "distill", "add to…

LLM-compiled knowledge base management. Ingests primary sources (papers, notebooks, data), distills them into interlinked org-mode wiki articles, and provides structured search over the wiki graph database. Triggers: "ingest this", "distill", "add to…

Python computations in science and engineering (pycse) - helps with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments (DOE), Latin hypercube sampling, surface response modeling, and neural…

Inspect and diagnose pounce solve reports via the pounce-studio CLI. Use when the user asks to analyze a pounce.solve-report JSON, diagnose a stuck or non-converging solve, compare two runs, look up a per-iteration column or finding code, pre-flight an AMPL…

Searches org-mode notes, displays agenda and TODOs, exports org files to HTML/PDF/LaTeX, validates citations, opens journal entries, maintains the org file index, and publishes org projects via the scimax CLI. Also the reference for org-mode syntax and scimax…

Pure-JAX linear and hyperplane decision trees (port of LLNL's hyperplanetree). Piecewise-linear surrogate modeling with first-class uncertainty quantification (linear-propagation, quadratic-difference, Mondrian leaf conformal), batched active learning…

Use when reducing a discopt nonlinear optimization model with variable aggregation (reduced-space presolve) — substituting variables defined by equality constraints to shrink the model, improve interior-point convergence reliability, or reproduce Naik et al.…

Design optimal experiments with discopt (requires the discopt-doe plugin) — check identifiability, explore the design space, and recommend D/A/E-optimal conditions for a model with unknown parameters. Supports sequential/active-learning DoE. Use to decide…

Assess a discopt-course lesson - load the rubric, read the student's exercise notebook and (optional) writing response, then produce structured feedback and update progress.yaml. Trigger when the user runs /course:assess or /course:grade-writing, or otherwise…