持續整合/部署

Advanced scientific computing for portfolio optimization, statistical testing, and numerical methods. Use when minimizing portfolio variance, fitting distributions to returns data, performing correlation analysis, running hypothesis tests, or solving constrained optimization problems. Provides optimization algorithms (BFGS, SLSQP) and statistical distributions essential for risk modeling.

Scientific computing library. Use for optimization, interpolation, statistics, signal processing, and numerical integration.

Work with message queues for async data processing. Use when implementing pub/sub patterns, processing data asynchronously, or building distributed data pipelines. NOT needed for simple batch file ETL.

Implement scheduling algorithms for logistics operations. Use this skill when sequencing tasks, allocating time slots, resolving resource conflicts, or optimizing job shop and flow shop scheduling problems.

Export data to CSV format with proper formatting and encoding. Use this skill when converting JSON or dictionary data to CSV, handling special characters and encoding, configuring delimiters and quoting, or creating properly formatted CSV files for downstream processing.

Guide for SELinux (Security-Enhanced Linux) security framework. Use when configuring mandatory access controls, troubleshooting permission denials, creating custom policies, or managing security contexts. Covers modes, contexts, booleans, and policy management.

Optimize warehouse slot assignments for picking efficiency. Use this skill when determining optimal product locations, minimizing travel time, balancing workload across zones, or reassigning slots based on demand patterns.

Make HTTP requests to REST APIs with authentication, handle responses, and manage pagination. Use when connecting to external APIs, fetching data from CRM systems, syncing records between services, or implementing OAuth/API key authentication flows.

Systemd service management and unit file creation. Use when creating system services, managing service dependencies, configuring startup behavior, or debugging service issues.

UI/UX Designer for Claude Orchestrator. Creates design specifications with design tokens (colors, fonts, spacing) and component specs. Use when asked to create design specifications or define design tokens for the orchestrator.

Molecular dynamics simulation tools for atomistic modeling. Use for simulating ion transport, diffusion coefficients, and electrolyte molecular behavior at the atomic level.

Data transformation utilities for financial analysis. Use for currency conversions, percentage calculations, data normalization, and balance of payments accounting transformations.

Efficient iterator combinatorics and operations for memory-efficient looping. Provides combinations, permutations, cartesian products, and chainable iterators. Use when generating all possible currency pairs, exploring trading paths, creating sequences without loading into memory, grouping sorted data, computing running accumulations, or working with infinite sequences. Ideal for combinatorial analysis and lazy iteration.

High-performance numerical computing with multi-dimensional arrays and mathematical operations. Provides vectorized operations, linear algebra, statistical functions, and matrix manipulation. Use when performing bulk calculations on exchange rates, computing logarithmic transformations, calculating means/standard deviations, doing matrix operations, working with numerical data that needs fast computation, or requiring element-wise operations without loops. Essential for scientific computing and data preprocessing.

Navigate warehouse layouts and calculate efficient paths between locations. Use this skill when working with warehouse grids, aisle structures, rack positions, or calculating travel distances in distribution centers.

Blockchain and cryptocurrency transaction analysis tools. Use for tracing transactions, analyzing wallet activity, and investigating cryptocurrency flows.

Validate data fields against schemas, rules, and constraints. Use when validating invoice data integrity, checking required fields, enforcing business rules, verifying data types and formats, or ensuring data quality before processing.

Options pricing models and derivatives valuation. Use for Black-Scholes pricing, Greeks calculation, implied volatility, and options strategy analysis.

Digital signal processing with NumPy/SciPy. Use when filtering signals, computing spectral analysis, performing convolution, detecting peaks, or processing time-series/frequency-domain data.

Send and receive HTTP webhook notifications for event-driven automation. Use when triggering external workflows on invoice events, receiving callbacks from payment systems, integrating with third-party services, or building event-driven invoice pipelines.