How do I install the Check Prereq Agent Dotnet skill?

Run npx skillmds@latest add diagrid-labs/check-prereq-agent-dotnet in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Check Prereq Agent Dotnet safe to use?

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Is Check Prereq Agent Dotnet free to use?

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Who published Check Prereq Agent Dotnet?

diagrid-labs (@diagrid-labs) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Check Prereq Agent Dotnet by diagrid-labs

Name: Check Prereq Agent Dotnet
Rating: 4.2 (5 reviews)
Author: diagrid-labs

Check Prereq Agent Dotnet

This skill checks prerequisites for building durable AI agents in .NET with Microsoft Agent Framework on Dapr Workflow. Use this skill when the user asks to "check prerequisites for .NET agents", "verify .NET agent environment", or "check .NET agent setup".

diagrid-labs Updated Sep 10, 2026

File contents

Check Prerequisites for .NET Agents

Overview

This skill checks whether all prerequisites are installed for building durable AI agents in .NET. Run this skill before using the create-agent-dotnet skill.

On naming. Dapr Agents is a Python-only framework; there is no Dapr Agents SDK for .NET. The .NET path is Microsoft Agent Framework (Microsoft.Agents.AI, Microsoft.Extensions.AI) executed durably on Dapr Workflow by the Diagrid.AI.Microsoft.AgentFramework package. Every agent turn — each LLM call and each tool call — becomes a workflow activity, which is where the durability comes from. The Dapr in the .NET type names (AddDaprAgents, IDaprAgentInvoker) refers to that workflow runtime, not to the Python framework.

Prerequisites

The following must be installed:

.NET 10 SDK
C# LSP Plugin
Docker or Podman
Dapr CLI (version 1.18+)
At least one LLM provider reachable by a Dapr conversation component: OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY, or a local Ollama instance on http://localhost:11434

Prerequisite Checks

Run ALL of these checks. Check steps 2–6 in parallel. Track which checks pass and which fail.

Step 1: Detect Operating System

Read the file at ../shared/prereq-detect-os.md and follow those instructions.

Step 2: Check the C# LSP plugin

Read the file at ../shared/prereq-check-csharp-lsp.md and follow those instructions.

Step 3: Check .NET SDK version

Read the file at ../shared/prereq-check-dotnet-sdk.md and follow those instructions.

Step 4: Check Docker or Podman

Read the file at ../shared/prereq-check-docker-podman.md and follow those instructions.

Step 5: Check Dapr CLI

Read the file at ../shared/prereq-check-dapr-cli.md and follow those instructions.

Step 6: Check LLM provider availability

Read the file at ../shared/prereq-check-llm-provider.md and follow those instructions.

Show final message

After all checks are complete, report the results:

List each check and whether it passed or failed.
For any failed checks, provide the relevant install / configuration link from the Prerequisites section.
If all checks passed, inform the user they can proceed with the create-agent-dotnet skill.

---name: check-prereq-agent-dotnetdescription: This skill checks prerequisites for building durable AI agents in .NET with Microsoft Agent Framework on Dapr Workflow. Use this skill when the user asks to "check prerequisites for .NET agents", "verify .NET agent environment", or "check .NET agent setup".---# Check Prerequisites for .NET Agents## OverviewThis skill checks whether all prerequisites are installed for building durable AI agents in .NET. Run this skill before using the `create-agent-dotnet` skill.> **On naming.** [Dapr Agents](https://github.com/dapr/dapr-agents) is a **Python-only** framework; there is no Dapr Agents SDK for .NET. The .NET path is [Microsoft Agent Framework](https://learn.microsoft.com/en-us/agent-framework/) (`Microsoft.Agents.AI`, `Microsoft.Extensions.AI`) executed durably on Dapr Workflow by the [`Diagrid.AI.Microsoft.AgentFramework`](https://www.nuget.org/packages/Diagrid.AI.Microsoft.AgentFramework) package. Every agent turn — each LLM call and each tool call — becomes a workflow activity, which is where the durability comes from. The `Dapr` in the .NET type names (`AddDaprAgents`, `IDaprAgentInvoker`) refers to that workflow runtime, not to the Python framework.## PrerequisitesThe following must be installed:- [.NET 10 SDK](https://dotnet.microsoft.com/en-us/download)- [C# LSP Plugin](https://claude.com/plugins/csharp-lsp)- [Docker](https://www.docker.com/products/docker-desktop/) or [Podman](https://podman.io/docs/installation)- [Dapr CLI](https://docs.dapr.io/getting-started/install-dapr-cli/) (version 1.18+)- At least one LLM provider reachable by a Dapr [conversation component](https://docs.dapr.io/reference/components-reference/supported-conversation/): `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GOOGLE_API_KEY`, or a local Ollama instance on `http://localhost:11434`## Prerequisite Checks**Run ALL of these checks. Check steps 2–6 in parallel. Track which checks pass and which fail.**### Step 1: Detect Operating SystemRead the file at [`../shared/prereq-detect-os.md`](../shared/prereq-detect-os.md) and follow those instructions.### Step 2: Check the C# LSP pluginRead the file at [`../shared/prereq-check-csharp-lsp.md`](../shared/prereq-check-csharp-lsp.md) and follow those instructions.### Step 3: Check .NET SDK versionRead the file at [`../shared/prereq-check-dotnet-sdk.md`](../shared/prereq-check-dotnet-sdk.md) and follow those instructions.### Step 4: Check Docker or PodmanRead the file at [`../shared/prereq-check-docker-podman.md`](../shared/prereq-check-docker-podman.md) and follow those instructions.### Step 5: Check Dapr CLIRead the file at [`../shared/prereq-check-dapr-cli.md`](../shared/prereq-check-dapr-cli.md) and follow those instructions.### Step 6: Check LLM provider availabilityRead the file at [`../shared/prereq-check-llm-provider.md`](../shared/prereq-check-llm-provider.md) and follow those instructions.## Show final messageAfter all checks are complete, report the results:- List each check and whether it passed or failed.- For any failed checks, provide the relevant install / configuration link from the Prerequisites section.- If all checks passed, inform the user they can proceed with the `create-agent-dotnet` skill.

Frequently asked questions