jkitchin
@jkitchin
Public Skills
pycse
by jkitchin
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.
Litdb Expert Skill
by jkitchin
Expert assistant for using litdb - a literature and document database for scientific research
literature-review
by jkitchin
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.
citation-verifier
by jkitchin
Verify citations and references in scientific documents to detect hallucinated or invalid sources. Extracts DOIs, URLs, arXiv IDs, PubMed IDs, and ISBNs from Markdown, LaTeX, org-mode, and plain text, then validates them using API lookups and web fetches. Use this skill when: - Reviewing AI-generated content for citation accuracy - Validating references in papers, reports, or documentation - Checking if DOIs/URLs resolve to actual papers - Auditing a document for broken or fake citations
generative-optimization
by jkitchin
A skill on generative optimization for using Gaussian Mixture Models and Conditional Flow matching models for optimization tasks.
ralph-wiggum
by jkitchin
Autonomous AI coding loop for unattended development - lets Claude work continuously on tasks while you sleep, with mandatory sandbox enforcement for safety
image-generation
by jkitchin
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
design-of-experiments
by jkitchin
Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization with Gaussian processes, model-driven optimal designs, active learning, and sequential experimentation; includes pyDOE3, pycse, GPyOpt, scikit-optimize, statsmodels
scientific-workflows
by jkitchin
Expert assistant for choosing and implementing scientific workflow tools - from simple joblib caching to complex orchestration with Prefect, Parsl, FireWorks, and quacc. Recommends the simplest solution that meets requirements.
python-regression-statistics
by jkitchin
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods, and comprehensive outlier detection strategies
python-multiobjective-optimization
by jkitchin
Expert guidance for multiobjective optimization in Python - Pareto optimality, evolutionary algorithms (NSGA-II, NSGA-III, MOEA/D), scalarization methods, Pareto front analysis, and implementation with pymoo, platypus, and DEAP
python-optimization
by jkitchin
Expert guidance for mathematical optimization in Python - systematic problem classification, library selection (scipy, pyomo, cvxpy, GEKKO), solver configuration, and implementation patterns for LP, QP, NLP, MIP, convex, and global optimization problems
python-jax
by jkitchin
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilation, vectorization, and GPU/TPU acceleration; includes transformations (grad, jit, vmap, pmap), sharp bits, gotchas, and differences from NumPy
idaes
by jkitchin
Comprehensive guidance for using IDAES (Institute for the Design of Advanced Energy Systems) for process systems engineering. Covers flowsheet modeling, property packages, unit models, optimization, scaling, initialization, and diagnostics. Use when working with chemical process simulations, energy systems modeling, power plant design, material and energy balances, or process optimization. Triggers include 'IDAES', 'flowsheet', 'process model', 'unit operation', 'process optimization', 'property package', 'energy systems', or process engineering tasks.
claude-light
by jkitchin
Expert assistant for conducting remote experiments with Claude-Light - a web-accessible RGB LED and spectral sensor instrument for statistics, regression, optimization, and design of experiments
opentrons-magnetic-block
by jkitchin
Opentrons Magnetic Block for Flex - unpowered magnetic bead separation using gripper-based labware movement with high-strength neodymium magnets for DNA/RNA purification, immunoprecipitation, and bead-based workflows
opentrons-heater-shaker
by jkitchin
Opentrons Heater-Shaker Module - temperature control (37-95°C) with orbital mixing (200-3000 rpm) for cell culture, enzymatic reactions, and sample preparation requiring simultaneous heating and agitation
opentrons-temperature-module
by jkitchin
Opentrons Temperature Module - precise heating and cooling (4-95°C) for sample storage, enzyme reactions, and temperature-sensitive protocols with aluminum block adapters for plates, tubes, and PCR strips
opentrons
by jkitchin
Expert guidance for Opentrons Python API v2 - automated liquid handling, protocol development, labware management, and hardware module integration for OT-2 and Flex robots
opentrons-thermocycler
by jkitchin
Opentrons Thermocycler Module - automated PCR thermal cycling with independent block (4-99°C) and lid (37-110°C) temperature control, profile execution, and auto-sealing lid support (GEN2) for high-throughput molecular biology workflows
version-control
by jkitchin
Expert guidance for Git version control, trunk-based development workflows, and GitHub best practices. Emphasizes Conventional Commits for clean history, short-lived feature branches, frequent integration, and professional collaboration patterns. Use when users need help with git commands, branching strategies, commit messages, PRs, merge conflicts, or git troubleshooting. Triggers include 'git,' 'commit,' 'branch,' 'merge,' 'rebase,' 'PR,' 'pull request,' or version control questions.
video-storytelling
by jkitchin
Create coherent video story sequences with AI-generated images and narrated audio. Combines image-generation and elevenlabs skills to produce complete video stories with visual and narrative consistency across all scenes. Maintains character appearance, style, lighting, and voice consistency throughout the story. Use this skill when the user requests: - Video stories with narration - Animated story sequences - Educational video content - Character-driven narratives with visuals - Multi-scene story videos - Narrated image sequences Features: Visual consistency locks, character persistence, multi-turn image generation, character voice narration, automatic video assembly Default: 1 title scene + 5 story scenes Dependencies: image-generation skill, elevenlabs skill, ffmpeg
code-reviewer
by jkitchin
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.
elevenlabs
by jkitchin
AI-powered audio generation using ElevenLabs API - text-to-speech with lifelike voices, sound effects generation, and music creation from text descriptions. Generate natural-sounding speech in 32 languages, create custom sound effects for games and videos, and compose royalty-free music tracks. Use this skill when the user requests: - Voice generation or text-to-speech conversion - Audio narration for content (videos, audiobooks, podcasts) - Sound effects for games, videos, or applications - Music generation from text descriptions - Multi-speaker dialogue or conversation audio - Voice cloning or custom voice creation - Audio streaming for real-time applications Capabilities: Text-to-speech (32 languages, 100+ voices), sound effects generation, music composition, voice cloning, real-time audio streaming Python SDK: elevenlabs (pip install elevenlabs)