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Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.

日本語の概要は準備中です。原文の説明を表示しています。

Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.

日本語の概要は準備中です。原文の説明を表示しています。

Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.

日本語の概要は準備中です。原文の説明を表示しています。

Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

日本語の概要は準備中です。原文の説明を表示しています。

Get best practices for XUnit unit testing, including data-driven tests

日本語の概要は準備中です。原文の説明を表示しています。

Get best practices for NUnit unit testing, including data-driven tests

日本語の概要は準備中です。原文の説明を表示しています。

Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests

日本語の概要は準備中です。原文の説明を表示しています。

Ensure that C# types are documented with XML comments and follow best practices for documentation.

日本語の概要は準備中です。原文の説明を表示しています。

Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services

日本語の概要は準備中です。原文の説明を表示しています。

Builds production-ready applications with the Claude Agent SDK for Python, covering orchestrators with subagents, programmatic agent configuration, hooks, and permissions.

日本語の概要は準備中です。原文の説明を表示しています。

CI/CD pipeline patterns with GitHub Actions, release automation, and testing strategies. Use for: github actions, workflow, CI, CD, pipeline, deploy, release, semantic release, changesets, goreleaser, matrix, cache, secrets, environment, artifact, reusable workflow, composite action.

日本語の概要は準備中です。原文の説明を表示しています。

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working on the Chat Customizations editor — the management UI for agents, skills, instructions, hooks, prompts, MCP servers, and plugins.

日本語の概要は準備中です。原文の説明を表示しています。

Triage and resolve CentOS issues using RHEL-compatible tooling, SELinux-aware practices, and firewalld.

日本語の概要は準備中です。原文の説明を表示しています。

Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.

日本語の概要は準備中です。原文の説明を表示しています。

Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.

日本語の概要は準備中です。原文の説明を表示しています。

Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.

日本語の概要は準備中です。原文の説明を表示しています。

Prompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive Blazor development expertise covering Blazor Server, WebAssembly, and Hybrid apps. Use when building Blazor components, implementing state management, handling routing, JavaScript interop, forms and validation, authentication, or optimizing Blazor applications. Includes best practices, architecture patterns, and troubleshooting guidance.

日本語の概要は準備中です。原文の説明を表示しています。

Adds a complete blog feature to an existing Blazor WebAssembly Static Web App with Azure Functions backend and Azure File Share for markdown storage. Use when implementing blog functionality in .NET Blazor WASM projects with Azure infrastructure. Includes post listing, detail pages, markdown rendering, Azure Storage integration.

日本語の概要は準備中です。原文の説明を表示しています。

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

日本語の概要は準備中です。原文の説明を表示しています。

Prompt for creating the high-level technical architecture for an Epic, based on a Product Requirements Document.

日本語の概要は準備中です。原文の説明を表示しています。

Containerize an ASP.NET .NET Framework project by creating Dockerfile and .dockerfile files customized for the project.

日本語の概要は準備中です。原文の説明を表示しています。

Prompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.

日本語の概要は準備中です。原文の説明を表示しています。