الحوسبة العلمية

تصفح مهارات الوكيل للمحاكاة العلمية والبحث الحسابي وعلوم البيانات

تساعد الفئات ونجوم GitHub وتاريخ آخر تحديث في المصدر على تنظيم الفهرس وترتيب نتائجه. ولا تمثل هذه الإشارات توصية من SkillsMP أو اعتمادًا للجودة أو مراجعةً للسلامة أو ضمانًا للملاءمة. افتح صفحة المهارة وافحص مصدرها قبل الاستخدام.

٨٬٥٢١ نتيجة

ゲノムデータベースへのクイック検索、配列検索、BLAST スタイルの検索、エンリッチメントチェック、および再現可能なバイオインフォマティクス証拠ログのための gget CLI および Python ワークフロー。

لغة محتوى المهارة: اليابانية

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package.

لغة محتوى المهارة: الإنجليزية

segment-anything-model

NousResearch/hermes-agent

SAM: zero-shot image segmentation via points, boxes, masks.

لغة محتوى المهارة: الإنجليزية

code-yeongyu/oh-my-openagent

Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.

لغة محتوى المهارة: الإنجليزية

Deletes memories by search query or memory ID with confirmation before removal. Use when removing outdated information, incorrect memories, sensitive data, or cleaning up after experiments.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

لغة محتوى المهارة: الإنجليزية

glycoengineering

K-Dense-AI/scientific-agent-skills

Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Analyze, validate, convert, and transform materials structures and computed materials data with current pymatgen APIs, including local phase diagrams, symmetry sensitivity, electronic-structure I/O, and explicitly bounded Materials Project queries.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Python/HTSlib workflows for genomic files. Use when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Build, inspect, test, and analyze bounded process-based discrete-event simulations with SimPy, including events, resources, interrupts, monitoring, replications, warm-up, and reproducible output analysis.

لغة محتوى المهارة: الإنجليزية

detecting-stuxnet-style-attacks

mukul975/Anthropic-Cybersecurity-Skills

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.

لغة محتوى المهارة: الإنجليزية

detecting-t1055-process-injection-with-sysmon

mukul975/Anthropic-Cybersecurity-Skills

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.

لغة محتوى المهارة: الإنجليزية

performing-malware-persistence-investigation

mukul975/Anthropic-Cybersecurity-Skills

Systematically investigate all persistence mechanisms on Windows and Linux systems to identify how malware survives reboots and maintains access.

لغة محتوى المهارة: الإنجليزية

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

mukul975/Anthropic-Cybersecurity-Skills

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.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

لغة محتوى المهارة: الإنجليزية

cosmic-database

davila7/claude-code-templates

Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.

لغة محتوى المهارة: الإنجليزية

exploratory-data-analysis

davila7/claude-code-templates

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.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

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.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

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.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

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.

لغة محتوى المهارة: الإنجليزية

Read Solid-backed table atoms inside JSX, createMemo, createEffect, or table.Subscribe; own slices with Solid signals or external TanStack Store atoms; and apply value-or-updater callbacks correctly. Load for Solid tracking and controlled-state bugs.

لغة محتوى المهارة: الإنجليزية

phuryn/pm-skills

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.

لغة محتوى المهارة: الإنجليزية

danielmiessler/LifeOS

The scientific method as a universal problem-solving algorithm — goal-first, plural falsifiable hypotheses, designed experiments, and honest measurement, scaling from TDD to feature validation to MVP launch. USE WHEN think about, figure out, experiment, iterate, optimize, hypothesis, science, full cycle, quick diagnosis, structured investigation, how do we test, analyze results. NOT FOR multi-angle lens passes (use IterativeDepth).

لغة محتوى المهارة: الإنجليزية

danielmiessler/Personal_AI_Infrastructure

The scientific method as a universal problem-solving algorithm — goal-first, hypothesis-plural, falsifiable experiments, honest measurement. Seven core workflows: DefineGoal, GenerateHypotheses (minimum 3 required — single-hypothesis testing is confirmation bias), DesignExperiment, MeasureResults, AnalyzeResults, Iterate, and FullCycle. Two diagnostic shortcuts: QuickDiagnosis (15-minute rule for fast debugging) and StructuredInvestigation (complex multi-factor issues). Scales across micro (TDD, minutes), meso (feature validation, hours-days), and macro (MVP launch, weeks-months). Reference files: METHODOLOGY.md (deep dive on each phase), Protocol.md (how other skills invoke Science), Templates.md (goal/hypothesis/experiment/results templates), Examples.md (worked examples across scales). Integrates with Council (hypothesis validation), Evals (measurement), Development (parallel experiment worktrees), and RedTeam (stress-test hypotheses). RootCauseAnalysis applies Science to failure investigation — pair them

لغة محتوى المهارة: الإنجليزية

aiming-lab/AutoResearchClaw

Validate a COBRApy genome-scale metabolic model for mass/charge balance, stoichiometric consistency, biomass producibility, dead-end metabolites, thermodynamic loops, and GPR rule formatting. Outputs a structured validation report with errors and warnings.

لغة محتوى المهارة: الإنجليزية

Parse and interpret Z3 output for human consumption. Handles models, unsat cores, proofs, statistics, and error messages. Translates solver internals into plain-language explanations.

لغة محتوى المهارة: الإنجليزية

advaitpaliwal/feynman

Use Borzoi-style regulatory genomics models for sequence-to-expression or variant-effect analysis. Use when the task asks for noncoding variant impact, regulatory sequence design, or expression prediction.

لغة محتوى المهارة: الإنجليزية

ncbi-datasets-skill

Submit compact NCBI Datasets v2 requests for assembly, genome, taxonomy, and related metadata endpoints. Use when a user wants concise NCBI Datasets summaries; save raw JSON or text only on request.

لغة محتوى المهارة: الإنجليزية

proteomexchange-skill

Submit compact ProteomeXchange PROXI requests for datasets, libraries, peptidoforms, proteins, PSMs, spectra, and USI examples. Use when a user wants concise PROXI summaries

لغة محتوى المهارة: الإنجليزية

ovphysx-output-read

NVIDIA-Omniverse/PhysX

Read ovphysx simulation output with the ovstage-native output-read API when results must retain ovstage identity or write back without rebuilding paths or repacking tensors. Covers Python `PhysX.read()` / `PhysX.read_tokens()`, C `ovphysx_query()` / `ovphysx_read()`, emitted attribute tokens, borrowed groups, and closed-loop physics-to-ovstage write-back.

لغة محتوى المهارة: الإنجليزية

parcadei/Continuous-Claude-v3

Problem-solving strategies for interpolation in numerical methods

لغة محتوى المهارة: الإنجليزية

brycewang-stanford/Auto-Empirical-Research-Skills

Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific skills.

لغة محتوى المهارة: الإنجليزية

brycewang-stanford/Auto-Empirical-Research-Skills

Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. Formula API. Use for regressions without fixed effects, GLMs, or time series. For FE/DiD use pyfixest; panel/IV use linearmodels.

لغة محتوى المهارة: الإنجليزية

statistical-software-qa

brycewang-stanford/Auto-Empirical-Research-Skills

Quality assurance and testing protocols for statistical software

لغة محتوى المهارة: الإنجليزية

ncbi-datasets-api

brycewang-stanford/Auto-Empirical-Research-Skills

Access genomes, genes, and taxonomy data via NCBI Datasets v2 API

لغة محتوى المهارة: الإنجليزية

retrosynthesis-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Retrosynthetic analysis and computational reaction prediction

لغة محتوى المهارة: الإنجليزية

symbolic-computation-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Computer algebra systems: SymPy, SageMath, and Mathematica for research

لغة محتوى المهارة: الإنجليزية