Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use...
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
"Specialized for software engineering",
Access Jira tickets offline using zaira CLI. Use when user needs to export, report, or refresh Jira tickets, or mentions "jira", "zaira", or ticket keys like "FOO-123".
This skill should be used when users need to generate detailed, structured prompts for creating UI/UX prototypes. Trigger when users request help with "create a prototype prompt", "design a mobile...
aiwコマンドを活用して複数AIエンジンによる並列実装・評価・採用を行うスペシャリスト。複雑な実装で複数アプローチを比較したい時、AIエンジン間の品質比較、高信頼性が求められる実装に使用。
Convert Figma designs to GenerateBlocks V2 format for WordPress
Repo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI.
Repo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI.
Optimize and manage cloud costs across AWS, Azure, and GCP using reserved instances, spot pricing, and cost monitoring tools.
Comprehensive guide for developing Model Context Protocol (MCP) servers. Use when (1) Creating new MCP servers, (2) Implementing MCP tools and handlers, (3) Testing MCP servers, (4) Debugging MCP...
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Activate this skill when analyzing iOS app UI/UX, evaluating iOS design patterns, proposing iOS interface improvements, or creating iOS implementation specifications. Provides deep expertise in...
Comprehensive guide for using Pixi, a fast and reproducible package management tool for Python, Rust, C/C++, and other languages. Use when (1) Managing Python project dependencies and...
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Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2