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Skills IA Tests et sécurité

Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.

Catégories: Tests et sécurité

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GitHub

opentrons-heater-shaker

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

GitHub

troubleshooting

jkitchin

Systematic debugging and problem diagnosis using structured troubleshooting methodologies applicable to any domain - technical issues, process failures, system problems, or general obstacles. Use when users rep...

GitHub

python-regression-statistics

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,...

GitHub

opentrons-temperature-module

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

GitHub

python-ase

jkitchin

Expert assistance with the Atomic Simulation Environment (ASE) Python library for atomistic simulations, including structure building, calculator setup, optimization, dynamics, and analysis

GitHub

literature-review

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: syn...

GitHub

elevenlabs

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, cre...

GitHub

design-of-experiments

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...

GitHub

materials-databases

jkitchin

Expert assistant for accessing materials databases (AFLOW and Materials Project) - query crystal structures, materials properties, thermodynamic data, and computational results from comprehensive databases

GitHub

brainstorming

jkitchin

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 sessi...

GitHub

materials-properties

jkitchin

Expert assistant for calculating materials properties from first-principles using ASE - structure relaxation, surface energies, adsorption, reaction barriers, phonons, elastic constants, and thermodynamic model...

GitHub

scientific-workflows

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 me...

GitHub

idaes

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, in...

GitHub

pycse

jkitchin

Use when performing regression analysis with confidence intervals, solving ODEs, fitting models to experimental data, or caching expensive scientific computations - provides convenient wrappers around scipy tha...

GitHub

emacs-lisp

jkitchin

Expert guidance for writing professional Emacs Lisp code following the community-driven Emacs Lisp Style Guide by Bozhidar Batsov. Covers layout, naming conventions, syntax preferences, macros, documentation, a...

GitHub

opentrons-absorbance-reader

jkitchin

Opentrons Absorbance Plate Reader Module for Flex - on-deck microplate spectrophotometry with single/multi-wavelength reading (450, 562, 600, 650nm), automated lid control, and CSV data export for ELISA, cell g...

GitHub

pymatgen

jkitchin

Comprehensive guidance for using pymatgen (Python Materials Genomics) for computational materials science. Covers structure creation and manipulation, file I/O (CIF, POSCAR, XYZ), symmetry analysis, Materials P...

GitHub

python-jax

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, ji...

GitHub

video-storytelling

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...

GitHub

eln

jkitchin

Professional scientific documentation in org-mode electronic lab notebooks with date-based organization, comprehensive record-keeping of hypotheses, methods, results, reasoning, and outcomes for reproducible re...

GitHub

opentrons

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

GitHub

scientific-writing

jkitchin

Comprehensive scientific writing guidance for research papers, grants, and technical documentation. Covers paper structure (IMRAD), methods writing, results presentation, figure/table design, citation formattin...

GitHub

fairchem

jkitchin

Expert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictions

GitHub

python-best-practices

jkitchin

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 Pytho...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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