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Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services.
Passed 22 of 22 test cases with the skill, and 13 of 22 without it.
and 14 more in the full report
9 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When registering a newly authored Python skill into `README.md`, which aggregate count near the top of the skill catalog summary section must be incremented?
| Checked | Without skill | With skill |
|---|---|---|
| Increments the total skill count in the catalog summary header | 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?"
Default assumption: Agents are already capable. Only add what they don't already know.
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
Match specificity to task fragility:
test cases passed, vs 13 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.