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FYDY

Official

@fuzzy-dynamics

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6Public Repos
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116Published Skills

Fuzzy Dynamics

Skills Distribution
DomainAI Models & ...Bioinformatics & G.. (35%)Cheminformatics & .. (25%)Scientific Computi.. (20%)Quantum & High-Per.. (20%)

Agent Skills by FYDY

Showing 116 vetted skills indexed across 1 GitHub repositories.

fuzzy-dynamicsfuzzy-dynamics
1

polars-bio

Perform overlap, nearest, and merge operations on Polars DataFrames.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

networkx

Create, analyze, and visualize complex networks and graphs in Python.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

anndata

Store and manage annotated single-cell data matrices with metadata.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

qiskit

Build, transpile, execute, and analyze quantum circuits on simulators and IBM hardware.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

scientific-brainstorming

Facilitate structured scientific ideation sessions with adaptive brainstorming methods.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

pymc

Build and infer Bayesian models with MCMC sampling and variational inference.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

perplexity-search

Automate real-time web searches with cited sources via Perplexity models.

Official
Intermediate
fuzzy-dynamicsfuzzy-dynamics
1

research-lookup

Route research queries to Parallel Chat API or Perplexity academic search.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

shap

Attribute model predictions to individual features using SHAP explainers.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

umap-learn

Reduce high-dimensional data to low-dimensional embeddings for visualization and clustering.

Official
Intermediate
fuzzy-dynamicsfuzzy-dynamics
1

geomaster

Integrate GIS, remote sensing, and machine learning into geospatial workflows.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

sympy

Solve symbolic mathematics tasks in Python using the SymPy library.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

vaex

Process large tabular datasets with lazy, out-of-core DataFrames.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

dask

Distribute large pandas and NumPy workloads across clusters with parallel computation.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

get-available-resources

Detect CPU, memory, disk, and GPU availability and generate a .claude_resources.json report.

Official
Intermediate
fuzzy-dynamicsfuzzy-dynamics
1

parallel-web

Automate web research and content extraction via Parallel Web Systems APIs.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

exploratory-data-analysis

Detects file type and generates Markdown reports for scientific data.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

iso-13485-certification

Generate ISO 13485 quality manual, MDFs, procedures templates and gap-analysis for medical device manufacturers.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

esm

Design and analyze proteins using ESM3 and ESM C models.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

scientific-schematics

Generate publication-quality scientific diagrams from natural language prompts.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

arboreto

Infer gene regulatory networks from expression data using GRNBoost2 or GENIE3.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

geniml

Trains unsupervised embeddings for genomic intervals and metadata from BED files.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

geopandas

Analyze geospatial vector data with pandas-like workflows in Python.

Official
Advanced
fuzzy-dynamicsfuzzy-dynamics
1

pyzotero

Manage Zotero libraries via the PyZotero client API.

Official
Intermediate

Frequently Asked Questions About FYDY

FAQPage Schema
What specific scientific tasks can be performed using these capabilities?▼

These capabilities enable end-to-end bioinformatics analysis, molecular dynamics simulations, quantum circuit design, and automated literature synthesis. Users can perform differential gene expression analysis, protein-ligand binding predictions, and generate publication-ready scientific manuscripts or clinical reports from structured data.

Which personas benefit most from this technical registry?▼

Computational biologists, medicinal chemists, data scientists, and research engineers benefit from these integrated modules. The registry is designed for professionals requiring reproducible research environments, high-performance computing access, and standardized reporting for clinical or academic publications.

What are the prerequisites for running these research modules?▼

Execution requires a Linux-based environment with standard scientific libraries installed. Many modules rely on specific domain-specific dependencies like RDKit for chemistry, Scanpy for genomics, or OpenMM for molecular dynamics, alongside access to configured remote compute hosts or local Docker sandboxes.