MCMC convergence diagnostics and analysis
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →MCMC convergence diagnostics and analysis
Numerical methods for ordinary differential equations
Robust statistical methods resistant to outliers
SageMath for comprehensive mathematical computation
Symbolic computation using SymPy for Python-based mathematical analysis
Interface with zbMATH Open database
Systematic failure analysis methodology for mechanical component failures
Skill for HVAC system design and analysis per ASHRAE standards including load calculations, equipment selection, and energy efficiency analysis
Skill for dimensional tolerance analysis and stack-up calculations
Expert skill for modal analysis, frequency response, and vibration characterization of mechanical systems
Atomic Force Microscopy and Scanning Probe Microscopy skill for nanoscale topography, mechanical, and electrical property mapping
Workflow automation skill for orchestrating multi-technique characterization sequences
Directed Self-Assembly skill for block copolymer lithography and nanoparticle templating
Electron Beam Lithography skill for high-resolution nanopatterning with dose optimization and proximity effect correction
NanoHUB tool interface skill for accessing educational and research nanoscience simulations
Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements
Transmission Electron Microscopy image analysis skill for nanoparticle size, morphology, and crystallography assessment
VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
X-ray Diffraction skill for crystal structure, phase identification, and crystallite size analysis of nanomaterials
AFLOW automatic materials discovery skill for high-throughput DFT calculations and materials database queries
Bluesky experimental orchestration skill for scan automation, data collection, and metadata management
emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications
Kwant quantum transport skill for mesoscopic physics, scattering matrix calculations, and nanostructure modeling
Lumerical FDTD and MODE skill for nanophotonics, integrated photonics, and solar cell design
MadGraph matrix element calculation skill for BSM physics, cross-section computation, and event generation
MEEP electromagnetic FDTD simulation skill for photonic devices, metamaterials, and waveguides
Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes
PySCF quantum chemistry skill for molecular calculations, coupled cluster, and multireference methods
Quantum ESPRESSO DFT skill for plane-wave pseudopotential calculations and materials simulation
QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysis
ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
SpinW spin wave simulation skill for magnetic materials, magnon dispersions, and neutron scattering analysis
VASP DFT calculation skill for electronic structure, band structures, and materials property predictions
Wannier90 skill for maximally localized Wannier functions and tight-binding model construction
Zemax optical design skill for lens systems, imaging optics, and tolerancing analysis
PySCF quantum chemistry interface for classical electronic structure calculations
ZX-calculus based circuit simplification skill for advanced quantum circuit optimization
Quantum error correction code implementation skill for fault-tolerant quantum computing
Qiskit Nature skill for quantum chemistry and materials science applications
Full state vector simulation skill for exact quantum circuit evaluation
Hamiltonian simulation skill using Trotter-Suzuki decomposition
Citation graph exploration for discovering related work through visual graph traversal
Automated hypothesis generation using abductive reasoning and knowledge graph traversal
Skill for building interactive data dashboards
Skill for visualizing network and graph data
Skill for statistical power analysis and sample size calculation
Create comprehensive artist personas including identity, backstory, artistic voice, visual aesthetic, discography arc, and character traits for consistent music generation
Create and maintain comprehensive collection records including cataloging, photography, condition documentation, and database management following AAM/ICOM standards
Plan and design exhibition layouts including spatial arrangement, object placement, lighting, graphics, and visitor flow optimization for diverse audiences
Apply Mayer's multimedia learning principles to design effective audio, video, graphics, and animations that reduce cognitive load