Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports hierarchical Bayesian models, MCMC with NUTS, and variational inference. Includes LOO and WAIC model comparison and posterior checks.
Creates molecular structure images, performs structural alignments, measures distances and contacts, and highlights binding or active sites. Supports coloring by B-factor or pLDDT and analyzing protein-ligand interactions.
Supports multi-objective optimization using NSGA-II, NSGA-III, and MOEA/D. Covers Pareto fronts, constraint handling, and benchmark problems such as ZDT and DTLZ.
Supports feature detection, peptide and protein identification, label-free and isobaric quantification, and adduct and accurate-mass annotation. Covers complex LC-MS/MS pipelines with extensive file format and algorithm support.
Updates a file for stricter Pyrefly type checking. Requires type annotations for all functions, classes, and attributes.
Sets up profiling through language SDKs, Alloy eBPF, or SDK-to-Alloy pipelines. Uses ProfileQL and flame graphs to inspect resource hotspots, compare profiles for regressions, and link traces to application profiles.
Supports Python workflows for SAM, BAM, CRAM, VCF, BCF, FASTA, FASTQ, and tabix data. Covers pileup, coverage calculations, indexing, and CRAM reference handling.
Uses Therapeutics Data Commons for registry discovery, approved dataset access, task-aware data splits, evaluation metrics, and benchmark groups. Also supports bounded molecular-oracle workflows.
Covers pytest testing features including fixtures, parametrization, and plugins. Includes integration with FastAPI, Django, and Flask.
Runs pytest tests with coverage measurement and identifies lines missing coverage. Aims to increase coverage to 100%.
Use when a pytest suite or its fixtures are slow and need measured, safety-gated optimization across the full pipeline.
Provides Python coding rules and reference material for common development workflows.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name