83,201 skills sorted by stars.
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, pr...
Manipulate PDF documents programmatically. Merge, split, rotate, and watermark PDFs. Extract text and metadata. Handle f...
When creating a README for a Python package. When preparing a package for PyPI publication. When README renders incorrec...
Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or...
Pairwise test generation
Configure Python projects with pyproject.toml for modern packaging, tools, and dependency management
Specific rules for PyQt6 based UI development focusing on UI/UX excellence and performance.
Python language server (Pyright) for Claude Code, providing static type checking and code intelligence.
Geochemistry data analysis and visualization for igneous, metamorphic, and sedimentary rocks. Use when Claude needs to:...
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calc...
研究 codex 使用 skill 生成 survey 這件事
基因组文件工具包。读写SAM/BAM/CRAM比对文件、VCF/BCF变异文件、FASTA/FASTQ序列，提取区域，计算覆盖度，用于NGS数据处理管道。
PySpark best practices, TableUtilities methods, ETL patterns, logging standards, and DataFrame operations for this proje...
Transform pyspark transformer operations. Auto-activating skill for Data Pipelines. Triggers on: pyspark transformer, py...
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecula...
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, m...
Python testing framework for writing simple, scalable, and powerful tests
Expert guidance for Python testing with pytest framework. Use when (1) writing unit tests or integration tests, (2) sett...
Pytest testing patterns for Python. Trigger: When writing Python tests - fixtures, mocking, markers.
Writes and executes backend unit and integration tests with pytest. Use when: writing new tests, running the test suite,...
Advanced Python testing with pytest including fixtures, parametrization, mocking, markers, and plugins. Test async code,...
Use when advanced Pytest features including markers, custom assertions, hooks, and coverage configuration.
Testing use cases and application services: use case testing with mocked gateways, DTO testing, application exception te...
Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, che...
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