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Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services.
Passed 21 of 23 test cases with the skill, and 4 of 23 without it.
and 35 more in the full report
17 fixed4 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
In a Rust skill's Best Practices section, what is the mandatory first rule regarding Cargo.toml dependency management?
| Checked | Without skill | With skill |
|---|---|---|
| The rule specifies using cargo add to manage dependencies rather than editing Cargo.toml directly. | Missed | Passed |
The instructions your model reads when the skill loads.
Guide for creating skills that extend AI agent capabilities, with emphasis on Azure SDKs and Microsoft Foundry.
Required Context: When creating SDK or API skills, users MUST provide the SDK package name, documentation URL, or repository reference for the skill to be based on.
Skills are modular knowledge packages that transform general-purpose agents into specialized experts:
The context window is a shared resource. Challenge each piece: "Does this justify its token cost?"
For domain/procedural skills: Agents are already capable. Only add what they don't already know.
For SDK/API skills: Users MUST provide SDK package name, documentation URL, or repository reference. The skill cannot be created without this context.
Azure SDKs change constantly. Skills should instruct agents to verify documentation:
## Before Implementation
Search `microsoft-docs` MCP for current API patterns:
- Query: "[SDK name] [operation] python"
- Verify: Parameters match your installed SDK version
test cases passed, vs 4 / 23 without
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