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浏览科学模拟、计算研究和数据科学的 agent skills

分类、GitHub Stars 和来源更新时间只用于组织与排序目录，不代表 SkillsMP 背书、质量认证、安全审核或适用性保证。使用前请进入详情页检查来源。

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hugging-science

来源K-Dense-AI/scientific-agent-skills/skills/hugging-science/SKILL.md
更新时间

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.

Skill 内容语言： 英语

marine-carbonate-chemistry

来源K-Dense-AI/scientific-agent-skills/skills/marine-carbonate-chemistry/SKILL.md
更新时间

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.

Skill 内容语言： 英语

detecting-stuxnet-style-attacks

来源mukul975/Anthropic-Cybersecurity-Skills/skills/detecting-stuxnet-style-attacks/SKILL.md
更新时间

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.

Skill 内容语言： 英语

detecting-t1055-process-injection-with-sysmon

来源mukul975/Anthropic-Cybersecurity-Skills/skills/detecting-t1055-process-injection-with-sysmon/SKILL.md
更新时间

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.

Skill 内容语言： 英语

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

来源mukul975/Anthropic-Cybersecurity-Skills/skills/performing-static-malware-analysis-with-pe-studio/SKILL.md
更新时间

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.

Skill 内容语言： 英语

exploratory-data-analysis

来源davila7/claude-code-templates/cli-tool/components/skills/scientific/exploratory-data-analysis/SKILL.md
更新时间

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.

Skill 内容语言： 英语

fluidsim

来源davila7/claude-code-templates/cli-tool/components/skills/scientific/fluidsim/SKILL.md
更新时间

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.

Skill 内容语言： 英语

neurokit2

来源davila7/claude-code-templates/cli-tool/components/skills/scientific/neurokit2/SKILL.md
更新时间

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.

Skill 内容语言： 英语

pyopenms

来源davila7/claude-code-templates/cli-tool/components/skills/scientific/pyopenms/SKILL.md
更新时间

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.

Skill 内容语言： 英语

novelty

来源danielmiessler/LifeOS/LifeOS/install/skills/Novelty/SKILL.md
更新时间

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).

Skill 内容语言： 英语

mujoco-python

来源google-deepmind/mujoco/doc/skills/python/SKILL.md
更新时间

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).

Skill 内容语言： 英语

exploratory-data-analysis

来源zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/exploratory-data-analysis/SKILL.md
更新时间

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.

Skill 内容语言： 英语