Better adherence to recommendations

This commit is contained in:
Timothy Kassis
2025-10-21 09:43:34 -07:00
parent 32109101d0
commit 71e1c91f12
31 changed files with 61 additions and 60 deletions

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@@ -11,7 +11,7 @@ Astropy is the community standard Python library for astronomy, providing core f
## When to Use This Skill
Use this skill when:
This skill should be used when:
- Working with FITS files (reading, writing, inspecting, modifying)
- Performing coordinate transformations between astronomical reference frames
- Calculating cosmological distances, ages, or other quantities

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@@ -11,7 +11,7 @@ BioPython is a comprehensive Python library for computational molecular biology
## When to Use This Skill
Use this skill when:
This skill should be used when:
- Working with biological sequences (DNA, RNA, protein)
- Reading or writing sequence files (FASTA, GenBank, FASTQ, etc.)
- Accessing NCBI databases (GenBank, PubMed, Protein, Nucleotide)

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@@ -18,7 +18,7 @@ The Census includes:
## When to Use This Skill
Use this skill when tasks involve:
This skill should be used when tasks involve:
- Querying single-cell expression data by cell type, tissue, or disease
- Exploring available single-cell datasets and metadata
- Training machine learning models on single-cell data

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@@ -18,7 +18,7 @@ deepTools is a comprehensive suite of Python command-line tools designed for pro
## When to Use This Skill
Invoke this skill when users request tasks involving:
This skill should be used when users request tasks involving:
- **File conversion**: "Convert BAM to bigWig", "generate coverage tracks", "normalize ChIP-seq data"
- **Quality control**: "check ChIP quality", "compare replicates", "assess sequencing depth", "QC analysis"

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@@ -19,7 +19,7 @@ PyDESeq2 is a Python implementation of the DESeq2 method for differential expres
## When to Use This Skill
Invoke this skill when:
This skill should be used when:
- Analyzing bulk RNA-seq count data for differential expression
- Comparing gene expression between experimental conditions (e.g., treated vs control)
- Performing multi-factor designs accounting for batch effects or covariates

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@@ -19,7 +19,7 @@ Pymatgen is a comprehensive Python library for materials analysis that powers th
## When to Use This Skill
Use this skill when:
This skill should be used when:
- Working with crystal structures or molecular systems in materials science
- Converting between structure file formats (CIF, POSCAR, XYZ, etc.)
- Analyzing symmetry, space groups, or coordination environments

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@@ -11,7 +11,7 @@ PyMC is a Python library for Bayesian modeling and probabilistic programming. Th
## When to Use This Skill
Use this skill when:
This skill should be used when:
- Building Bayesian models (linear/logistic regression, hierarchical models, time series, etc.)
- Performing MCMC sampling or variational inference
- Conducting prior/posterior predictive checks

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@@ -17,7 +17,7 @@ PyTorch Lightning is a deep learning framework that organizes PyTorch code to de
## When to Use This Skill
Use this skill when:
This skill should be used when:
- Building or training deep learning models with PyTorch
- Converting existing PyTorch code to Lightning structure
- Setting up distributed training across multiple GPUs or nodes

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@@ -607,7 +607,7 @@ pip install reportlab[renderPM]
## When to Use This Skill
Invoke this skill when:
This skill should be used when:
- Generating PDF documents programmatically
- Creating invoices, receipts, or billing documents
- Building reports with tables and charts

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@@ -13,7 +13,7 @@ scikit-bio is a comprehensive Python library for working with biological data. P
## When to Use This Skill
Invoke this skill when the user:
This skill should be used when the user:
- Works with biological sequences (DNA, RNA, protein)
- Needs to read/write biological file formats (FASTA, FASTQ, GenBank, Newick, BIOM, etc.)
- Performs sequence alignments or searches for motifs

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@@ -11,7 +11,7 @@ PyTorch Geometric is a library built on PyTorch that enables development and tra
## When to Use This Skill
Use this skill when working with:
This skill should be used when working with:
- **Graph-based machine learning**: Node classification, graph classification, link prediction
- **Molecular property prediction**: Drug discovery, chemical property prediction
- **Social network analysis**: Community detection, influence prediction