持續整合/部署

Validating and cleaning data. Use when checking data integrity, enforcing schemas, or sanitizing inputs.

Handle errors and implement logging in data pipelines. Use when implementing retry logic, logging sync operations, tracking failed records, or building fault-tolerant data processing workflows.

Linux kernel configuration, compilation, and customization. Use when building custom kernels, configuring kernel options, enabling/disabling features, or creating minimal kernels for embedded systems.

Process real-time data streams and implement streaming pipelines. Use when handling continuous data feeds, implementing event-driven processing, or building real-time analytics pipelines. NOT needed for batch file processing.

Matplotlib library for creating scientific visualizations. Use for 2D/3D scatter plots, Pareto front visualization, colorbars, and saving figures to files.

Tech Lead for Claude Orchestrator. Creates implementation instructions based on planning documents and design specifications. Use when asked to create developer instructions or technical implementation guides for the orchestrator.

Numerical computing library for arrays and matrices. Use for mathematical operations, linear algebra, and scientific computing.

Pandas library for data manipulation and time series analysis. Use for loading CSV files, data transformation, time series operations, merging datasets, and creating financial reports.

Variant Call Format file parsing. Use when analyzing genetic variants, SNPs, or mutation data from sequencing.

Optimize warehouse and storage space utilization. Use this skill when maximizing storage density, planning storage layouts, calculating volume efficiency, or minimizing empty space in warehouses and containers.

Load, analyze, and manipulate 3D meshes using trimesh library. Use for mesh boolean operations, ray tracing, convex hulls, mesh repair, and export to multiple formats. Comprehensive mesh processing toolkit.

Linux kernel configuration, compilation, and customization. Use when building custom kernels, configuring kernel options, enabling/disabling features, or creating minimal kernels for embedded systems.

Detect and analyze copy number variations (CNVs) from sequencing data.

Perform letter frequency analysis to crack substitution ciphers. Use this skill when analyzing ciphertext patterns, identifying cipher types, or breaking monoalphabetic substitution ciphers using statistical methods.

Optimize time slot allocation for logistics operations. Use this skill when scheduling appointments, managing dock time windows, balancing workload across time periods, or minimizing conflicts in time-based resource allocation.

Create static visualizations including bar charts, line plots, pie charts, and more. Use when generating charts for reports, creating data visualizations, producing publication-quality figures, or embedding plots in PDF/HTML reports.

Machine learning library. Use when building predictive models, classification, regression, or clustering.

WebAssembly runtime execution and instantiation. Use when running compiled WebAssembly modules, testing WASM execution, or interfacing with WASM instances from Python.

Molecular dynamics simulation tools for atomistic modeling. Use for simulating ion transport, calculating diffusion coefficients, viscosity, and electrolyte molecular behavior.

Common parallel programming patterns for Python multiprocessing. Use when designing parallel algorithms with map-reduce, producer-consumer, pipeline parallelism, fork-join, and work distribution strategies.