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.
Borrowing it
Nothing to install: this file belongs to microsoft/Generative-AI-for-beginners-dotnet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/Generative-AI-for-beginners-dotnet/main/.github/skills/cross-squad/SKILL.mdgit 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/cross-squad)<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/cross-squad"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/cross-squad.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 5.1 | $0.00041 | $0.02402 |
| Opus 5 | $0.00020 | $0.01201 |
| Sonnet 5 | $0.00008 | $0.00480 |
| Haiku 4.5 | $0.00004 | $0.00240 |
Grade A, and why
cross-squad 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 8d 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 cross-squad — 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Read this FIRST any time the user says "squad" as a thing to spawn, delegate to, address, or fan out to — e.g., "spawn two squads of designers and devs", "ask the other squad", "delegate to a squad". In Squad-PRODUCT vocabulary, "squad" is a peer (an independent installation with its own
.squad/,team.md, MCP server, and agents) — NOT a generic English synonym for "team" or "group". Do not fan out rawtaskagents inside your own coordinator context when the user means "another squad". Use the discovery and communication patterns below (and the companioncross-squad-communicationskill for the actual protocols).
When an organization runs multiple Squad instances (e.g., platform-squad, frontend-squad, data-squad), those squads need to discover each other, share context, and hand off work across repository boundaries. This skill teaches agents how to coordinate across squads without creating tight coupling.
Companion skill — for protocol details:
cross-squad-communication/SKILL.mdcovers the four communication patterns (synchronous CLI, read-only knowledge query, git-based async, and GitHub-issue-based delegation) once a peer squad is discovered via the registry below. This skill answers "who?" — the companion answers "how?".
Cross-squad orchestration applies when:
- A task requires capabilities owned by another squad
- An architectural decision affects multiple squads
- A feature spans multiple repositories with different squads
- A squad needs to request infrastructure, tooling, or support from another squad
Disambiguation: "squad" vs ad-hoc agents
When the user uses the word "squad" / "squads" or asks to "spawn a team", the coordinator MUST treat it as a literal reference to a Squad install (a .squad/ directory with its own roster, casting, and coordinator) — NOT as a casual synonym for "a group of sub-agents".
Default behaviour (apply unless explicitly told otherwise)
| User says | Coordinator does |
|---|---|
| "spawn two squads of X and Y" / "set up squads for X, Y, Z" | Bootstrap N real Squad installs — separate folder + git init + squad init per squad — then use the cross-squad patterns below (.squad/manifest.json, squad registry add, squad delegate) and the protocols in the cross-squad-communication skill |
| "ask the other squad about X" / "delegate to the data squad" | Discover the peer via squad registry list (or by reading a known .squad/manifest.json), then use cross-squad-communication Pattern 0 / 1 / 2 / 3 — never re-implement the protocol with task |
| "spawn a few agents to do X" / "have some agents review X" / "in parallel, get sub-agents to..." | Ad-hoc task fan-out is fine — no .squad/ bootstrap needed. This is the only path where raw task is appropriate when the user mentioned a multi-agent activity |
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.
- 8d ago First seen · 175 lines · 41 tokens per session scan A 8f62616ee398
cross-squad is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,051 stars, last pushed 7d ago), licensed MIT. It adds 41 tokens to every session and 2,402 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cross-squad, differing in 0 lines, and is treated as a copy.
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