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SkillsMP は markheydon/solo-dev-board から 12 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 12 件中 12 件を表示しています。
Guide for using the MudBlazor component library in Blazor Server applications. Use this when building or refactoring Blazor pages and components for SoloDevBoard. Covers setup, layout, component usage patterns, dialog and snackbar services, data grids, forms,…
原文の言語: 英語
Diátaxis Documentation Expert. Creates high-quality software documentation using the Diátaxis framework.
原文の言語: 英語
Ensure .NET/C# code meets best practices for the solution/project.
原文の言語: 英語
Manage the SoloDevBoard Roadmap GitHub Project (Project #8). Add issues to the board, set Phase/Priority/Status/Date fields, manage the Up Next queue, and keep the project in sync with the issue lifecycle. Use this skill whenever creating or updating GitHub…
原文の言語: 英語
Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, or manage issue workflows. Triggers on requests like…
原文の言語: 英語
Orchestrates end-to-end feature delivery for SoloDevBoard: planning, GitHub issue management, implementation gating, testing, documentation, and closure.
原文の言語: 英語
GitHub CLI guidance for SoloDevBoard issue triage, label management, pull requests, workflows, and project operations.
原文の言語: 英語
Get best practices for XUnit unit testing, including data-driven tests
原文の言語: 英語
Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.
原文の言語: 英語
Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.
原文の言語: 英語
Route and record architectural and technical decisions for SoloDevBoard using the repo memory model (constitution, decision log, feature issues).
原文の言語: 英語
Ensure that C# types are documented with XML comments and follow best practices for documentation.
原文の言語: 英語