Use when "scientific computing", "astronomy", "astropy", "bioinformatics", "biopython", "symbolic math", "sympy", "statistics", "statsmodels", "scientific Python"
Performs scientific computing with AstroPy, BioPython, SymPy, and Statsmodels for astronomy, bioinformatics, symbolic math, and statistics.
/plugin marketplace add eyadsibai/ltk/plugin install ltk@ltk-marketplaceThis skill inherits all available tools. When active, it can use any tool Claude has access to.
Domain-specific Python libraries for scientific applications.
| Library | Domain | Purpose |
|---|---|---|
| AstroPy | Astronomy | Coordinates, units, FITS files |
| BioPython | Bioinformatics | Sequences, BLAST, PDB |
| SymPy | Mathematics | Symbolic computation |
| Statsmodels | Statistics | Statistical modeling, tests |
Astronomy and astrophysics computations.
Key capabilities:
Key concept: Unit-aware calculations prevent errors from unit mismatches.
Bioinformatics - sequences, structures, databases.
Key capabilities:
Key concept: SeqIO for reading any sequence format, Seq for sequence operations.
Symbolic mathematics - algebra, calculus, equation solving.
Key capabilities:
Key concept: Work with symbols, not numbers. Get exact answers, not approximations.
Statistical modeling with R-like formula interface.
Key capabilities:
y ~ x1 + x2)Key concept: model.summary() gives comprehensive statistical output like R.
| Domain | Library |
|---|---|
| Astronomy/astrophysics | AstroPy |
| Biology/genetics | BioPython |
| Symbolic math | SymPy |
| Statistical analysis | Statsmodels |
| Numerical computing | NumPy, SciPy |
| Data manipulation | Pandas |
This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.