Claude Skills

Scaffold WordPress plugins using WP-CLI commands (wp scaffold plugin, wp scaffold plugin-tests). Use this skill when creating new WordPress plugins or adding test infrastructure to existing plugins.

Implements high-performance streaming using System.IO.Pipelines in .NET. Use when building network protocols, parsing binary data, or processing large streams efficiently.

Displays 0-based collection indices as 1-based numbers in WPF Slider controls. Use when showing user-friendly slice/page numbers while maintaining 0-based internal indexing.

Manages WPF Style definitions and ResourceDictionary patterns including BasedOn inheritance and resource merging. Use when building theme systems, organizing resources, or choosing between StaticResource and DynamicResource.

Generate comprehensive multi-tenant security and operational reports from LimaCharlie. Provides billing summaries, usage roll-ups, detection trends, sensor health monitoring, and configuration audits across multiple organizations. Supports both per-tenant detailed breakdowns and cross-tenant aggregated roll-ups. Built with strict data accuracy guardrails to prevent fabricated metrics. Supports partial report generation when some organizations fail, with transparent error documentation. Time windows always displayed, detection limits clearly flagged, zero cost calculations.

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.

Use this skill when the user asks to "analyze my content", "learn my writing style", "research competitors", "find content angles", "improve my blog", "write like me", "embody my brand voice", or mentions content strategy, voice analysis, competitive research, or iterative content improvement.

Learn from historical data and build institutional knowledge with Graphiti Memory. Integrates episode storage and retrieval into learning patterns across sessions. Use when user mentions learning workflows, building knowledge over time, analyzing past work patterns, or improving from historical data.

Golang 单元测试规范与最佳实践指南

Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

Use when working with .gcl files or GreyCat projects - efficient language with unified temporal/graph/vector database, built-in web server, native MCP for billion-scale digital twins

Complete llama.cpp C/C++ API reference covering model loading, inference, text generation, embeddings, chat, tokenization, sampling, batching, KV cache, LoRA adapters, and state management. Triggers on: llama.cpp questions, LLM inference code, GGUF models, local AI/ML inference, C/C++ LLM integration, \"how do I use llama.cpp\", API function lookups, implementation questions, troubleshooting llama.cpp issues, and any llama-cpp or ggerganov/llama.cpp mentions.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

Expert guidance for integrating FeatBit React Client SDK in React and Next.js applications. Use when users work with React, need React hooks, or ask about React/Next.js feature flag integration.

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.