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Calcul scientifique

Parcourez les skills pour les simulations scientifiques, recherche computationnelle et data science

Les catégories, les étoiles GitHub et la date de dernière mise à jour à la source servent à structurer et ordonner le catalogue. Ces signaux ne constituent ni une recommandation, ni une certification de qualité, ni un contrôle de sécurité, ni une garantie d’adéquation. Consultez la page du skill et sa source avant utilisation.

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9 852 résultats

hugging-science

SourceK-Dense-AI/scientific-agent-skills/skills/hugging-science/SKILL.md
Mis à jour

Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or PDE modeling, and when checking their actual datasets, Transformers, native-runtime, Inference Providers, or Gradio interfaces.

Langue du contenu du Skill : anglais

marine-carbonate-chemistry

SourceK-Dense-AI/scientific-agent-skills/skills/marine-carbonate-chemistry/SKILL.md
Mis à jour

Solves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle factors; lab-to-in-situ temperature and pressure corrections; and measurement uncertainty propagation. Applies to carbonate-system calculations, not general aqueous speciation or air-sea gas-flux estimation.

Langue du contenu du Skill : anglais

pyopenms

SourceK-Dense-AI/scientific-agent-skills/skills/pyopenms/SKILL.md
Mis à jour

Processes mass spectrometry data with pyOpenMS. Supports proteomics and metabolomics workflows—feature detection, peptide/protein identification, label-free quantification, adduct/accurate-mass annotation, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. For simple spectral comparison and small-molecule library matching use matchms.

Langue du contenu du Skill : anglais

detecting-stuxnet-style-attacks

Sourcemukul975/Anthropic-Cybersecurity-Skills/skills/detecting-stuxnet-style-attacks/SKILL.md
Mis à jour

Detects sophisticated cyber-physical attacks that follow the Stuxnet pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation, using PLC logic integrity monitoring (Claroty xDome, Nozomi Guardian) and physics-based process anomaly detection. Use when hunting for IT-to-OT lateral movement or discrepancies between PLC program state and physical process behavior in ICS/SCADA environments.

Langue du contenu du Skill : anglais

detecting-t1055-process-injection-with-sysmon

Sourcemukul975/Anthropic-Cybersecurity-Skills/skills/detecting-t1055-process-injection-with-sysmon/SKILL.md
Mis à jour

Detect process injection techniques (T1055) - including DLL injection, process hollowing, and APC injection - by analyzing Sysmon Event IDs 1, 7, 8, 10, and 25 for cross-process memory operations, remote thread creation, and anomalous DLL loads. Use when hunting defense-evasion activity that hides code inside legitimate processes, investigating an EDR alert on suspicious cross-process access, or validating Sysmon coverage for injection detection.

Langue du contenu du Skill : anglais

performing-static-malware-analysis-with-pe-studio

Sourcemukul975/Anthropic-Cybersecurity-Skills/skills/performing-static-malware-analysis-with-pe-studio/SKILL.md
Mis à jour

Performs static analysis of Windows PE malware samples using PEStudio to examine file headers, imports, strings, and resources without executing the binary, identifying packing, anti-analysis tricks, and malicious imports. Use for pre-execution triage of a suspicious Windows executable before sandbox detonation.

Langue du contenu du Skill : anglais

exploratory-data-analysis

Sourcedavila7/claude-code-templates/cli-tool/components/skills/scientific/exploratory-data-analysis/SKILL.md
Mis à jour

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

Langue du contenu du Skill : anglais

fluidsim

Sourcedavila7/claude-code-templates/cli-tool/components/skills/scientific/fluidsim/SKILL.md
Mis à jour

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

Langue du contenu du Skill : anglais

neurokit2

Sourcedavila7/claude-code-templates/cli-tool/components/skills/scientific/neurokit2/SKILL.md
Mis à jour

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

Langue du contenu du Skill : anglais

pyopenms

Sourcedavila7/claude-code-templates/cli-tool/components/skills/scientific/pyopenms/SKILL.md
Mis à jour

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.

Langue du contenu du Skill : anglais

novelty

Sourcedanielmiessler/LifeOS/LifeOS/install/skills/Novelty/SKILL.md
Mis à jour

Evolutionary explanation-discovery engine for hard-to-vary causal theories of unknown phenomena. USE WHEN develop a new theory, explain a mystery, solve an explanatory gap, discover a mechanism, consciousness, origin, or scientific breakthrough. Also use for multi-cycle creative exploration. NOT FOR a single-pass divergent brainstorm (use BeCreative) or delivery validation alone (use Assay).

Langue du contenu du Skill : anglais

mujoco-python

Sourcegoogle-deepmind/mujoco/doc/skills/python/SKILL.md
Mis à jour

Python simulation lifecycle (MjSpec, MjModel, MjData), simulation stepping (mj_step, mj_step1, mj_step2, mj_forward), named access (data.body, model.geom), bind(), multi-threaded CPU batch simulation (mujoco.batch.Batch, mujoco.rollout), optimization and system ID (mujoco.minimize, mujoco.sysid, mjd_transitionFD), contact and touch sensors, sensordata, keyframe resets, integrators, mju_ spatial math (quaternions, poses), energy diagnostics. Use for Python physics simulation, state access, CPU batching, stepping loops, sensors. Do NOT use for model building/editing (mujoco-spec-editing), headless rendering (mujoco-rendering), GPU/TPU (mujoco-accelerated), cross-engine parity debugging (mujoco-parity), or GUI/viewers (mujoco-gui, mujoco-studio).

Langue du contenu du Skill : anglais

exploratory-data-analysis

SourcezLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/exploratory-data-analysis/SKILL.md
Mis à jour

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

Langue du contenu du Skill : anglais