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Found 225 Skills
Architecture-aware feature scaffolding for .NET 10 projects. Detects the project's architecture (VSA, Clean Architecture, DDD, Modular Monolith) and generates complete feature slices with all required layers: endpoint, handler, validator, DTOs, EF configuration, and integration tests — with the completeness checklist and per-architecture code templates every generated feature must satisfy. Use when: "scaffold", "create feature", "add feature", "new endpoint", "generate", "add entity", "scaffold a module", "add module", or when customizing generation templates or defining what a complete feature slice includes.
Diagnoses and fixes skills in the dotnet/skills repository that lose to their own baseline, fail to activate, time out, or return "no credible improvement". Use when an evaluation verdict is a regression or underpowered, when a skill regressed after a change, when /evaluate reports no results, or when deciding whether a weak skill should be strengthened or retired. Do not use for scaffolding a brand-new skill (use create-skill) or a brand-new eval (use create-skill-test).
Create a new ASP.NET Core web application or web site using Blazor. USE FOR: creating a new Blazor web app, scaffolding a new web project, starting a new web site, choosing render modes (Static SSR, Interactive Server, Interactive WebAssembly, Auto), running dotnet new blazor with the right options, setting up initial project structure. DO NOT USE FOR: adding features to existing projects, changing how an existing app renders, or component authoring (use author-component).
Call APIs, load data into components, and handle the async lifecycle in Blazor. USE FOR fetching data from a backend, submitting data to an API, displaying loading/error states, registering HttpClient, building service abstractions for Auto/WebAssembly render modes. DO NOT USE for form validation (see collect-user-input), prerendering persistence (see support-prerendering), or project scaffolding (see create-blazor-project).
Use when a developer wants to build their first CopilotKit Channels agent and get it answering in Slack or Microsoft Teams — "set up a channel", "connect my agent to Slack", "get my agent into Teams", or starting from nothing and wanting a working channel end to end. Covers the whole path: inspecting or scaffolding the project, building the AG-UI agent, creating and reconciling the managed Channel with the public CopilotKit CLI, running the long-running host, and proving a real provider mention gets a reply. The workflow is not in this file — it is fetched from https://copilotkit.ai/channels-guide.md at run time, so it cannot go stale against the CLI.
Apply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.
Comprehensive skill reference for uni-helper ecosystem - AI-powered development tools for uni-app
Create new skills for the lovstudio ecosystem. Each skill is its own independent GitHub repo at lovstudio/{name}-skill, scaffolded locally at ~/lovstudio/coding/skills/{name}-skill/, symlinked to ~/.claude/skills/ for immediate use, and registered in the central index at ~/lovstudio/coding/skills/index/ (skills.yaml + README.md). Lovstudio conventions: `lovstudio:{name}` frontmatter, mandatory README.md per skill, AskUserQuestion interactive flow, standalone Python CLI scripts with argparse, CJK text handling. Use when the user wants to create a new skill, add a skill to the lovstudio ecosystem, scaffold a skill, or mentions "新建skill", "创建skill", "封装成skill", "new skill", "add skill", "scaffold skill", "生成skill".
Scaffold an aggregate root with entity, value objects, repository interface, domain events, and test stubs