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Agent Skills für wissenschaftliche Simulationen, Berechnungsforschung und Data Science durchsuchen

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8.521 Ergebnisse

gget
253.2k
affaan-maffaan-m/ECC
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。

Sprache des Skill-Inhalts: Japanisch

gget
253.2k
affaan-maffaan-m/ECC
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.

Sprache des Skill-Inhalts: Englisch

segment-anything-model
243.2k
NousResearchNousResearch/hermes-agent
SAM: zero-shot image segmentation via points, boxes, masks.

Sprache des Skill-Inhalts: Englisch

data-scientist
68.8k
code-yeongyucode-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.

Sprache des Skill-Inhalts: Englisch

forget
64.8k
mem0aimem0ai/mem0
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 Use when removing outdated information, incorrect memories, sensitive data, or cleaning up after experiments.

Sprache des Skill-Inhalts: Englisch

biopython
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

cobrapy
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

deeptools
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

glycoengineering
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

primekg
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.

Sprache des Skill-Inhalts: Englisch

pymatgen
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

pysam
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

simpy
43.9k
K-Dense-AIK-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.

Sprache des Skill-Inhalts: Englisch

detecting-stuxnet-style-attacks
32.4k
mukul975mukul975/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.

Sprache des Skill-Inhalts: Englisch

detecting-t1055-process-injection-with-sysmon
32.4k
mukul975mukul975/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.

Sprache des Skill-Inhalts: Englisch

performing-malware-persistence-investigation
32.4k
mukul975mukul975/Anthropic-Cybersecurity-Skills
Systematically investigate all persistence mechanisms on Windows and Linux systems to identify how malware survives reboots and maintains access.

Sprache des Skill-Inhalts: Englisch

performing-static-malware-analysis-with-pe-studio
32.4k
mukul975mukul975/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.

Sprache des Skill-Inhalts: Englisch

data-scientist
30.6k
davila7davila7/claude-code-templates
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

Sprache des Skill-Inhalts: Englisch

biopython
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

cobrapy
30.6k
davila7davila7/claude-code-templates
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

Sprache des Skill-Inhalts: Englisch

cosmic-database
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

deeptools
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

etetoolkit
30.6k
davila7davila7/claude-code-templates
Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.

Sprache des Skill-Inhalts: Englisch

exploratory-data-analysis
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

flowio
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

fluidsim
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

hmdb-database
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

matchms
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

neurokit2
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

pymatgen
30.6k
davila7davila7/claude-code-templates
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

Sprache des Skill-Inhalts: Englisch

pyopenms
30.6k
davila7davila7/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.

Sprache des Skill-Inhalts: Englisch

table-state
28.4k
TanStackTanStack/table
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.

Sprache des Skill-Inhalts: Englisch

dummy-dataset
26.1k
phurynphuryn/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.

Sprache des Skill-Inhalts: Englisch

science
18.9k
danielmiesslerdanielmiessler/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).

Sprache des Skill-Inhalts: Englisch

science
16.0k
danielmiesslerdanielmiessler/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

Sprache des Skill-Inhalts: Englisch

gsmm-validator
14.3k
aiming-labaiming-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.

Sprache des Skill-Inhalts: Englisch

explain
12.6k
Z3ProverZ3Prover/z3
Parse and interpret Z3 output for human consumption. Handles models, unsat cores, proofs, statistics, and error messages. Translates solver internals into plain-language explanations.

Sprache des Skill-Inhalts: Englisch

borzoi
9.3k
advaitpaliwaladvaitpaliwal/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.

Sprache des Skill-Inhalts: Englisch

ncbi-datasets-skill
5.4k
openaiopenai/plugins
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.

Sprache des Skill-Inhalts: Englisch

proteomexchange-skill
5.4k
openaiopenai/plugins
Submit compact ProteomeXchange PROXI requests for datasets, libraries, peptidoforms, proteins, PSMs, spectra, and USI examples. Use when a user wants concise PROXI summaries

Sprache des Skill-Inhalts: Englisch

ovphysx-output-read
4.8k
NVIDIA-OmniverseNVIDIA-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.

Sprache des Skill-Inhalts: Englisch

interpolation
3.9k
parcadeiparcadei/Continuous-Claude-v3
Problem-solving strategies for interpolation in numerical methods

Sprache des Skill-Inhalts: Englisch

data-scientist
3.7k
brycewang-stanfordbrycewang-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.

Sprache des Skill-Inhalts: Englisch

statsmodels
3.7k
brycewang-stanfordbrycewang-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.

Sprache des Skill-Inhalts: Englisch

statistical-software-qa
3.7k
brycewang-stanfordbrycewang-stanford/Auto-Empirical-Research-Skills
Quality assurance and testing protocols for statistical software

Sprache des Skill-Inhalts: Englisch

ncbi-datasets-api
3.7k
brycewang-stanfordbrycewang-stanford/Auto-Empirical-Research-Skills
Access genomes, genes, and taxonomy data via NCBI Datasets v2 API

Sprache des Skill-Inhalts: Englisch

retrosynthesis-guide
3.7k
brycewang-stanfordbrycewang-stanford/Auto-Empirical-Research-Skills
Retrosynthetic analysis and computational reaction prediction

Sprache des Skill-Inhalts: Englisch

symbolic-computation-guide
3.7k
brycewang-stanfordbrycewang-stanford/Auto-Empirical-Research-Skills
Computer algebra systems: SymPy, SageMath, and Mathematica for research

Sprache des Skill-Inhalts: Englisch