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Use when executing implementation plans with independent tasks in the current session

Identifica e quantifica a economia de custos em assinaturas Azure, analisando custos reais, métricas de utilização e gerando recomendações de otimização acionáveis.

Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant proteinGroups.txt. Use when starting a proteomics analysis with raw or processed MS data. Handles contaminant filtering and missing value assessment.

Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.

Simplify and refine recently modified code for clarity and consistency. Use after writing code to improve readability without changing functionality.

Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents that run custom code in Azure AI Foundry. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent", "create_version", "ProtocolVersionRecord", "AgentProtocol.RESPONSES".

新機能開発統合スキル - 要件分析からPR作成まで、新機能開発の全工程を自動化します。analyze-requirements、develop-backend、develop-frontend、review-architecture、qa-check、create-prの各専門スキルを適切な順序で呼び出し、完全な機能開発を実現します。品質基準（テストカバレッジ80%以上、Lint/ビルド成功）を満たすまで自動的にレビュー・修正を繰り返します。

Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, program-of-thought, and plan-and-solve patterns. Enhanced with agent-creator principles and functionality-audit validation. Perfect for building composable workflow components.

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search,

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Keeps IdeaVim documentation in sync with code changes. Use this skill when you need to verify documentation accuracy after code changes, or when checking if documentation (in doc/, README.md, CONTRIBUTING.md) matches the current codebase. The skill can work bidirectionally - from docs to code verification, or from code changes to documentation updates.

Maintains IdeaVim test suite quality. Reviews disabled tests, ensures Neovim annotations are documented, and improves test readability. Use for periodic test maintenance.