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 plans. Triggers include 'help me plan,' 'create a roadmap for,' 'break down this project,' 'what are the steps to,' or 'how should I approach.'

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 Python projects, implementing tests, or ensuring code quality and maintainability. Emphasizes: PEP 8, modularity, DRY principle, TDD, virtual environments (uv), and modern tooling (Ruff, Black, Mypy).

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 domains, identify research gaps, track the evolution of methodologies, evaluate evidence quality, or write comprehensive literature reviews for academic papers, grant proposals, or research projects. Key capabilities: multi-database search strategies, iterative query refinement, content analysis and summarization, thematic synthesis, citation management, quality assessment, bias detection, and structured report generation with multiple output formats.

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 when users are writing scientific papers, formatting manuscripts, responding to reviewers, writing grant proposals, or need help with any aspect of scientific communication. Triggers include 'write a paper,' 'scientific writing,' 'format my manuscript,' 'methods section,' 'respond to reviewers,' or any research writing task.

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 brainstorm,' 'generate ideas for,' 'creative solutions to,' or 'think of alternatives.'

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 user requests: - Image generation from text descriptions - Image editing or modifications - Logos, stickers, or graphic design assets - Product mockups or visualizations - Style transfers or artistic effects - Iterative image refinement Available models: - Google Gemini: gemini-2.5-flash-image (Nano Banana), gemini-3-pro-image-preview (Nano Banana Pro) - Google Imagen: imagen-4.0-generate-001, imagen-4.0-ultra-generate-001, imagen-4.0-fast-generate-001 - OpenAI: gpt-image-1.5 (recommended), gpt-image-1, dall-e-3, dall-e-2 Inspired by: https://github.com/EveryInc/every-marketplace/tree/main/plugins/compounding-engineering/skills/gemini-imagegen

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 automation code, (4) Jupyter notebooks and data analysis workflows, (5) Documentation assessment and improvement suggestions, (6) Bug detection and logic verification, (7) Testing coverage and strategy evaluation, (8) Code consistency and maintainability analysis. Provides actionable improvement recommendations across all aspects of software development.

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 crucible", "crucible ingest", "crucible search", "search the wiki", "what do we know about", "find related", "knowledge base", "distill this source", "add source", "wiki article", "concept article", "what sources", "what links to", "related articles", "undigested sources", "orphan articles", "crucible sync", "update the wiki"

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 crucible", "crucible ingest", "crucible search", "search the wiki", "what do we know about", "find related", "knowledge base", "distill this source", "add source", "wiki article", "concept article", "what sources", "what links to", "related articles", "undigested sources", "orphan articles", "crucible sync", "update the wiki"

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 network-based UQ with DPOSE. Use when working with numerical optimization, data fitting, experimental design, or uncertainty analysis.

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 asks Claude to grade a lesson.

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. Triggers: "find notes about", "search my notes", "what's on my agenda", "show my todos", "what's overdue", "export this file", "check my citations", "rebuild my index", "how many notes", "publish my docs", "index my org files", "open my journal", "journal entry", "today's journal", "yesterday's journal", "morning briefing", "what's on my plate", "weekly review", "wrap up", "end of day", "what should I focus on", "follow up", "prep for", "triage", "org-mode", "org syntax", "how do I cite", "citation", "org-ref", "source block", "header argument", "org table", "org link", "org timestamp", "org property"

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 (ask/tell + run sugar with campaign persistence), and MIP-friendly export (solver-neutral JSON, hand-built ONNX, optional discopt adapter for direct MINLP embedding without Pyomo).