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.

Model and solve constraint optimization problems. Use this skill when defining decision variables, adding constraints (capacity, time, precedence), setting objectives, and finding optimal or feasible solutions using constraint programming techniques.

Create well-defined task specifications from plans or user prompts. Use when user wants to define a task, create a work item, break down a plan into actionable work, or write a spec for implementation. Triggers on "create task", "define task", "write spec", "break this down", "make this actionable", or when moving from planning to execution.

Calculate and optimize safety stock levels to buffer against demand and supply uncertainty. Use this skill when determining buffer inventory, setting service level targets, analyzing lead time variability, or balancing stockout risk against holding costs.

Matplotlib library for creating financial visualizations. Use for plotting time series, creating multi-panel figures, stacked bar charts, and generating publication-quality charts.

Handle vehicle and resource capacity constraints in optimization. Use this skill when managing load limits, weight restrictions, volume constraints, or multi-dimensional capacity planning for vehicles and containers.

Crack password hashes using dictionary attacks, rainbow tables, and hashcat. Use this skill when recovering passwords from hashes, identifying hash types, or exploiting weak password policies in CTF challenges.

Optimize inventory levels using EOQ, multi-echelon models, and cost minimization. Use this skill when calculating economic order quantities, minimizing total inventory costs, optimizing across multiple locations, or balancing ordering and holding costs.

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.

Plan and manage picking waves for warehouse order fulfillment. Use this skill when organizing orders into waves, scheduling wave releases, balancing workload across waves, or coordinating wave-based picking operations.

Reduce circuit gate count and depth through cancellation, basis decomposition, and T-gate reduction. Use when minimizing complexity or optimizing for hardware.

Analyze single-cell RNA sequencing data using Scanpy, Seurat, and other single-cell tools.