Automated summary
Launches a Blazor WASM app, a .NET CLI console app, or a Jupyter notebook based on the provided argument.
Strengths
- Automatically runs the correct project with a single command
- Handles background process execution
- Works with three common project types
Limitations
- Depends on absolute paths specific to the user's machine
- Does not auto-display the Blazor dev URL (user must know it)
- Only supports three predefined arguments
When you want to quickly start one of the predefined projects (Blazor, CLI, Python) without typing the full commands.
If you need to run multiple instances simultaneously or a project not listed.
Security analysis
SafeThe skill only runs predetermined, hardcoded commands for local development projects. User input is validated against a whitelist ('blazor', 'cli', 'python'), and invalid input is rejected without execution. No destructive actions, obfuscation, or exfiltration are present. Running dotnet and jupyter locally is typical for development and poses no inherent risk in this context.
No concerns found
How this analysis is madeExamples
run blazorrun clirun pythonname: run description: Run the Blazor WASM app, .NET CLI console app, or Python Jupyter notebook allowed-tools: Bash(dotnet run:), Bash(jupyter:), Bash(python:*)
Argument
$ARGUMENTS — one of: blazor, cli, python
Commands
| Argument | Command | Type |
|----------|---------|------|
| blazor | dotnet run --project dotnet/BlazorChat | dev server — run in background |
| cli | dotnet run --project dotnet/AnthropicApiClient | interactive console — run in background |
| python | python/\.venv/Scripts/jupyter notebook python/001-requests.ipynb | notebook server — run in background |
All commands are executed from the repository root:
D:\OneDrive - Personal\OneDrive\Source\Trainings\AI\Claude with Anthropic API
Your task
- Parse
$ARGUMENTS(trim whitespace, lowercase). - If the value is not one of
blazor,cli,python:- Tell the user the valid options and stop. Do not run anything.
- Run the matching command using the Bash tool with
run_in_background: true. - Report back:
- blazor — the dev server URL (typically
https://localhost:5001) - cli — note that the app is interactive; the user should watch the terminal output for the prompt
- python — Jupyter opens in the browser automatically; the notebook URL will appear in the background output
- blazor — the dev server URL (typically
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/download' --output '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md.part' && mv '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md.part' '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Tools declared by the author (check availability in your agent): Bash(dotnet run:*), Bash(jupyter:*), Bash(python:*)
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md' && test -s '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/run' && cp -R '.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4' '.claude/skills/run'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4'openskills read 'run-blazor-net-cli-or-python-jupyter-mrx3xwm4'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/run-blazor-net-cli-or-python-jupyter-mrx3xwm4/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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