Research & Science · Python

Search FDA industry guidelines by therapeutic area or topic.

aipoch/medical-research-skills

A high-performance Rust toolkit (with Python bindings and a CLI) for genomic interval analysis; use it when you need fast overlap queries, coverage track generation, genomic tokenization for ML…

aipoch/medical-research-skills

Calculate literature growth velocity and acceleration to assess research.

aipoch/medical-research-skills

Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

aipoch/medical-research-skills

Programmatic access to the PubChem database (via PUG-REST API and PubChemPy) for searching chemical compounds, retrieving physicochemical properties, performing structure similarity/substructure…

aipoch/medical-research-skills

One-click synchronization and standardization of reference formats in literature management tools, intelligently fixing metadata errors.

aipoch/medical-research-skills

A Python bioinformatics toolkit for sequence, phylogeny, and microbiome/community-ecology analysis; use it when you need to compute diversity/ordination/statistics from biological data and standard…

aipoch/medical-research-skills

Use semantic consistency auditor for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

aipoch/medical-research-skills

Query and annotate gene variants from ClinVar and dbSNP databases.

aipoch/medical-research-skills

Deep research report generation for Reviva's built-in deep-researcher agent.

mingchen666/Reviva

Infer and visualize intercellular communication from scRNA-seq with CellChat (R).

jaechang-hits/SciAgent-Skills

Harmony batch correction for scRNA-seq and other omics. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Multi-Omics Factor Analysis v2 (MOFA+) with mofapy2. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Multi-modal single-cell analysis with muon/MuData. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Validate and maintain module registry. An agent skill from htlin222/meta-pipe.

htlin222/meta-pipe

Statistical methods for calling hits in CRISPR screens. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.

FreedomIntelligence/OpenClaw-Medical-Skills

Reads, writes, and converts molecular file formats (SMILES, SDF, MOL2, PDB) using RDKit and Open Babel.

FreedomIntelligence/OpenClaw-Medical-Skills

Analyzes alternative splicing at single-cell resolution using BRIE2 for probabilistic PSI estimation or leafcutter2 for cluster-based analysis with NMD detection.

FreedomIntelligence/OpenClaw-Medical-Skills

Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC.

FreedomIntelligence/OpenClaw-Medical-Skills

De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP.

FreedomIntelligence/OpenClaw-Medical-Skills

Query gnomAD for population allele frequencies to assess variant rarity.

FreedomIntelligence/OpenClaw-Medical-Skills

Visualize copy number profiles, segments, and compare across samples.

FreedomIntelligence/OpenClaw-Medical-Skills

JACKS (Joint Analysis of CRISPR/Cas9 Knockout Screens) for modeling sgRNA efficacy and gene essentiality.

FreedomIntelligence/OpenClaw-Medical-Skills

Statistical testing for differentially abundant proteins between conditions.

FreedomIntelligence/OpenClaw-Medical-Skills

Molecular biology toolkit: sequence manipulation, FASTA/GenBank/PDB I/O, NCBI Entrez, BLAST automation, pairwise/MSA alignment, Bio.PDB, phylogenetic trees.

jaechang-hits/SciAgent-Skills

JASPAR 2024 TF binding profiles via REST API and pyJASPAR. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Build, read, validate, modify SBML biological network models via the libSBML Python API.

jaechang-hits/SciAgent-Skills

Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal.

jaechang-hits/SciAgent-Skills

Python library for single-particle tracking (SPT) in video microscopy via the Crocker-Grier algorithm.

jaechang-hits/SciAgent-Skills

Predict RNA secondary structure, MFE folding, base-pair probabilities, RNA-RNA interactions via ViennaRNA Python bindings.

jaechang-hits/SciAgent-Skills

A skill your agent uses when a loop needs scholarly literature — paper discovery, novelty checks, full-text snippet search, citation-graph traversal, single-paper reads, or experimental-result…

gaasher/Agent-Loop-Skills

A skill your agent uses when porting circuits from another framework (e.g.

NVIDIA/skills

Replicate a quantitative analysis in a second language (R↔Python↔Stata↔Julia) and compare outputs for implementation errors.

flonat/flonat-research

Dock small-molecule ligands into a protein receptor using AutoDock Vina (Python API) and save ranked poses + docking metadata for reproducible virtual screening.

learningmatter-mit/AtomisticSkills

Build and run LAMMPS molecular dynamics with isolated MLIP-specific binaries (MACE, MatGL/CHGNet, FairChem) to avoid Python and Torch stack conflicts.

learningmatter-mit/AtomisticSkills

Python API for RCSB PDB 3D structures (search, fetch coordinates, metadata).

lamm-mit/scienceclaw

A skill your agent uses whenever the user wants reproducible CS/AI experiments, model evaluation, regression/classification/clustering analyses, bioinformatics workflows, QC, differential…

Citrus-bit/Anaxa

Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed.

brycewang-stanford/Auto-Empirical-Research-Skills

E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include…

brycewang-stanford/Auto-Empirical-Research-Skills

A skill your agent uses when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model…

borghei/Claude-Skills

Load when turning scRNA FASTQ (or existing CellRanger/STARsolo/SimpleAF/kb-python output) into a downstream-ready AnnData.

TianGzlab/OmicsClaw

Load when annotating putative doublets in single-cell RNA-seq using Scrublet, DoubletDetection, DoubletFinder, scDblFinder, or scds.

TianGzlab/OmicsClaw

Load when running bulk-style pathway enrichment (ORA / GSEA / GSEA-R / GSVA-R) on a per-group ranked DE / marker list against a gene-set library.

TianGzlab/OmicsClaw

Load when checking raw single-cell FASTQ read quality (Phred / GC / adapter / length) before counting.

TianGzlab/OmicsClaw

Load when predicting in-silico gene knockout effects on a normalised scRNA AnnData via GRN-based propagation (Python) or scTenifoldKnk (R).

TianGzlab/OmicsClaw

Load when computing per-cell pathway / gene-set scores on a normalised scRNA AnnData via AUCell (R or Python) or Scanpy scoregenes.

TianGzlab/OmicsClaw

Load when estimating RNA velocity on a spatial AnnData with layers["spliced"] + layers["unspliced"] via scVelo (stochastic / deterministic / dynamical) or veloVI (deep generative).

TianGzlab/OmicsClaw

API + Python SDK for ordering cell-free protein expression and binding assays.

jaechang-hits/SciAgent-Skills