Imported from dlwlrmax/.dotfiles (opencode/.config/opencode/skills/science-category-pointer/SKILL.md). Install upstream with npx skills add dlwlrmax/.dotfiles --skill science-category-pointer. Copyright stays with the author.

Science Capability Library 🎯

This is a pointer skill. The 10 specialized Science skills are stored in a hidden vault to keep your startup context minimal.

Available skills in this category

• astropy — Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
• biopython — Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.
• cirq — Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
• matplotlib — Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.
• networkx — NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.
• qiskit — Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.
• scanpy — Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
• seaborn — Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.
• statsmodels — Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.
• sympy — SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.

How to load a skill

1. Identify the skill name above matching your task.
2. Use view_file to read its SKILL.md from the vault: /home/kienct/.config/opencode/skill-libraries/science/<skill-name>/SKILL.md
3. Follow those instructions to complete the request.

Vault path: /home/kienct/.config/opencode/skill-libraries/science

Do not guess best practices — always read from the vault first.