Generative AI for Beginners .NET is a hands-on course that teaches .NET developers to build applications using generative AI models and related tools. Its lessons use practical samples covering scenarios such as chat, audio transcription, agents, and local AI. The catalogue entries are add-ons associated with the course repository.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/microsoft/generative-ai-for-beginners-dotnet/docs-standardsnpx skills add microsoft/Generative-AI-for-beginners-dotnet --skill docs-standardsgit clone --depth 1 https://github.com/microsoft/Generative-AI-for-beginners-dotnetWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/docs-standards)<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/docs-standards"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/docs-standards.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00013 | $0.00530 |
| Opus 5 | $0.00006 | $0.00265 |
| Sonnet 5 | $0.00003 | $0.00106 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
docs-standards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to docs-standards — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Squad documentation follows the Microsoft Style Guide with Squad-specific conventions. Consistency across docs builds trust and improves discoverability.
Patterns
Microsoft Style Guide Rules
- Sentence-case headings: "Getting started" not "Getting Started"
- Active voice: "Run the command" not "The command should be run"
- Second person: "You can configure..." not "Users can configure..."
- Present tense: "The system routes..." not "The system will route..."
- No ampersands in prose: "and" not "&" (except in code, brand names, or UI elements)
Squad Formatting Patterns
- Scannability first: Paragraphs for narrative (3-4 sentences max), bullets for scannable lists, tables for structured data
- "Try this" prompts at top: Start feature/scenario pages with practical prompts users can copy
- Experimental warnings: Features in preview get callout at top
- Cross-references at bottom: Related pages linked after main content
Structure
- Title (H1) → Warning/callout → Try this code → Overview → HR → Content (H2 sections)
Test Sync Rule
- Always update test assertions: When adding docs pages to
features/,scenarios/,guides/, update correspondingEXPECTED_*arrays intest/docs-build.test.tsin the same commit
Examples
✓ Correct:
# Getting started with Squad
> ⚠️ **Experimental:** This feature is in preview.
Try this:
\`\`\`bash
squad init
\`\`\`
Squad helps you build AI teams...
---
## Install Squad
Run the following command...
✗ Incorrect:
# Getting Started With Squad // Title case
Squad is a tool which will help users... // Third person, future tense
You can install Squad with npm & configure it... // Ampersand in prose
Anti-Patterns
- Title-casing headings because "it looks nicer"
- Writing in passive voice or third person
- Long paragraphs of dense text (breaks scannability)
- Adding doc pages without updating test assertions
- Using ampersands outside code blocks
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 72 lines · 13 tokens per session scan A 49a99de5527e
docs-standards is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,047 stars, last pushed 4d ago), licensed MIT. It adds 13 tokens to every session and 530 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to docs-standards, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
tidy-skill
Keep local AI agent environments clean, explainable, and recoverable. Use for repo artifact governance, workspace cache audits, WSL2/Docker hygiene, package and model cache mapping, C-drive growth diagnosis, and safe cleanup boundaries. Prevent throwaway Markdown files, audit local development environment sprawl, and…
terminal-management
Teaches AI agents to properly manage VS Code terminal lifecycle — always use background terminals and kill them after commands complete. Prevents zombie terminal accumulation in GitHub Codespaces and VS Code.
ai-generated-readme-banners
Create professional ultra-wide cinematic banners for GitHub READMEs using modern AI image models with typography.
appropriate-reliance
Calibrated human-AI collaboration with creative latitude — trust calibrated to reliability, creativity preserved with validation.
brain-qa
Brain QA is a mental exercise, not just a muscle exercise. The script validates structure, but the skill's true value is teaching Alex what to look for beyond what scripts can automate.
cloud-solution-architect
Design well-architected Azure cloud systems — 10 design principles, 6 architecture styles, 44 design patterns, technology choices, WAF pillars.