FYDY
Official@fuzzy-dynamics
Fuzzy Dynamics
Agent Skills by FYDY
Showing 116 vetted skills indexed across 1 GitHub repositories.
polars-bio
Perform overlap, nearest, and merge operations on Polars DataFrames.
networkx
Create, analyze, and visualize complex networks and graphs in Python.
anndata
Store and manage annotated single-cell data matrices with metadata.
qiskit
Build, transpile, execute, and analyze quantum circuits on simulators and IBM hardware.
scientific-brainstorming
Facilitate structured scientific ideation sessions with adaptive brainstorming methods.
pymc
Build and infer Bayesian models with MCMC sampling and variational inference.
perplexity-search
Automate real-time web searches with cited sources via Perplexity models.
research-lookup
Route research queries to Parallel Chat API or Perplexity academic search.
shap
Attribute model predictions to individual features using SHAP explainers.
umap-learn
Reduce high-dimensional data to low-dimensional embeddings for visualization and clustering.
geomaster
Integrate GIS, remote sensing, and machine learning into geospatial workflows.
sympy
Solve symbolic mathematics tasks in Python using the SymPy library.
vaex
Process large tabular datasets with lazy, out-of-core DataFrames.
dask
Distribute large pandas and NumPy workloads across clusters with parallel computation.
get-available-resources
Detect CPU, memory, disk, and GPU availability and generate a .claude_resources.json report.
parallel-web
Automate web research and content extraction via Parallel Web Systems APIs.
exploratory-data-analysis
Detects file type and generates Markdown reports for scientific data.
iso-13485-certification
Generate ISO 13485 quality manual, MDFs, procedures templates and gap-analysis for medical device manufacturers.
esm
Design and analyze proteins using ESM3 and ESM C models.
scientific-schematics
Generate publication-quality scientific diagrams from natural language prompts.
arboreto
Infer gene regulatory networks from expression data using GRNBoost2 or GENIE3.
geniml
Trains unsupervised embeddings for genomic intervals and metadata from BED files.
geopandas
Analyze geospatial vector data with pandas-like workflows in Python.
pyzotero
Manage Zotero libraries via the PyZotero client API.
Frequently Asked Questions About FYDY
FAQPage SchemaWhat 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.