Skills for your AI
Guides purchasing managers through digital transformation, from supplier research and technology assessment to process automation, risk, budgeting and KPI tracking. Use when planning, implementing or monitoring purchasing digital initiatives, assessing vendors
Runs the full PyDESeq2 differential expression pipeline on bulk RNA-seq counts and metadata, including validation, Wald tests, FDR correction, LFC shrinkage, and significant gene reporting. Use when the user supplies bulk RNA-seq counts and metadata and asks f
Reads, writes, modifies, anonymizes, and converts DICOM medical imaging files with pydicom, including metadata extraction and pixel data handling. Use when the user provides a .dcm file or folder and asks to inspect metadata, extract pixels, convert to PNG/JPE
Builds and evaluates clinical ML models on EHR data using PyHealth, covering dataset loading, task setup, medical coding translation, preprocessing, training, and evaluation. Use when working with MIMIC-III/IV, eICU, or OMOP data for mortality, readmission, or
Generates and explains PyLabRobot Python scripts for liquid handlers, plate readers, scales, and lab equipment, including deck layouts, simulation, and protocol validation. Use when writing pipetting protocols, defining deck layouts, integrating analytical equ
Analyzes crystal structures, phase diagrams, and electronic structure with Pymatgen, including symmetry, coordination, stability, band gaps, DOS, and file format conversion. Use when the user provides a CIF, POSCAR, XYZ, or vasprun.xml file, asks about space g
Builds, fits, validates, and compares Bayesian models in PyMC with data prep, prior predictive checks, MCMC diagnostics, LOO/WAIC comparison, and prediction intervals. Use when preparing data for Bayesian modeling, writing PyMC model code, checking convergence
Generates pymoo Python code to define multi-objective optimization problems, run NSGA-II/NSGA-III/MOEA-D, visualize Pareto fronts, apply MCDM selection, and handle constraints. Use when a user needs to model an optimization problem, choose an algorithm, plot o
Processes and analyzes LC-MS/MS proteomics and metabolomics data with PyOpenMS, covering file I/O, signal processing, feature detection, peptide and protein identification, metabolomics workflows, and export to pandas or NumPy. Use when the user asks to load m
Reads, writes, and analyzes SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences with pysam, including region fetches, coverage, filtering, and index creation. Use when the user asks to fetch reads or variants by region, calculate coverage, fil
Loads PyTDC drug discovery datasets, applies standard splits, evaluates predictions with standard metrics, runs ADMET benchmarks, and scores molecules with oracles. Use when the user asks for ADME, Tox, HTS, QM, DTI, DDI, PPI, MolGen, or RetroSyn datasets, dat
Reviews Python code for common anti-patterns, diagnosing bugs, teaching best practices, drafting team standards, and planning legacy refactors. Use when the user shares Python code for review, describes a mysterious bug, asks how to avoid an anti-pattern, want
Generates pydantic-settings code and guidance for externalizing Python app configuration into typed environment variables, covering typed settings classes, fail-fast validation, local defaults, namespacing, environment-specific behavior, nested groups, secrets
Builds production-ready Python MCP servers with type-safe tools, resources, prompts, transports, and advanced features. Use when starting a new MCP server project, adding or modifying tools and resources, configuring stdio or streamable HTTP transport, debuggi
Adds structured logging, metrics, correlation IDs, and OpenTelemetry tracing to Python apps and helps debug production issues from logs, metrics, and traces. Use when instrumenting a Python service or diagnosing a production incident.
Designs and implements Python fault-tolerance patterns — retries with exponential backoff and jitter, timeouts, circuit breakers, and decorators that separate infrastructure from business logic. Use when adding retry logic to external calls, excluding permanen
Designs Python context managers and resource cleanup patterns, including class-based, async, decorator, exception suppression, streaming accumulators, string accumulation, stream metrics, and ExitStack. Use when the user needs deterministic resource management
Enforces Python code style, linting, formatting, type checking, naming, imports, docstrings and project documentation standards. Use when setting up ruff or mypy, reviewing Python code for style, writing Google-style docstrings, organizing imports, or creating
Structures PyTorch code into LightningModules, configures Trainers, LightningDataModules, callbacks, logging, and distributed strategies. Use when converting PyTorch models to Lightning, setting up multi-GPU/TPU training, building data pipelines, adding checkp
Turns bug reports into clear, complete, prioritized documentation for QA testers, covering reproduction steps, severity, tracking, developer communication, regression testing, trend analysis and templates. Use when a tester describes unexpected behavior, needs
Designs and maintains QA team collaboration, task tracking, test management, bug resolution, reporting, and automation processes. Use when a QA manager needs task assignments, test cases, bug workflows, tool integrations, reports, stand-ups, knowledge bases, c
Designs and executes QA strategies across the development lifecycle—strategy, audits, release readiness, test plans, metrics, automation, manual testing, defects, API, performance and security testing. Use when planning QA, auditing quality, assessing release
Guides IT project managers through quality assurance work including process review, metrics, audits, test planning, risk assessment, UAT, continuous improvement, test data, defect tracking, and CI/CD. Use when the user asks to review QA processes, define quali
Plans and improves QA workflows by analyzing data, generating test cases, recommending tools and processes, and drafting reports. Use when a QA manager needs tool comparisons, defect tracking design, test case generation, performance or CI/CD optimization, QA
