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Get Started Free →Explains the project structure of the agent-framework .NET solution
.claude/skills/microsoft-project-structure/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -39% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -64% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -80% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -82% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -60% | 0% |
dotnet/
├── src/
│ ├── Microsoft.Agents.AI/ # Core AI agent implementations
│ ├── Microsoft.Agents.AI.Abstractions/ # Core AI agent abstractions
│ ├── Microsoft.Agents.AI.A2A/ # Agent-to-Agent (A2A) provider
│ ├── Microsoft.Agents.AI.OpenAI/ # OpenAI provider
│ ├── Microsoft.Agents.AI.Foundry/ # Microsoft Foundry Agents (v2) provider
│ ├── Microsoft.Agents.AI.AzureAI.Persistent/ # Legacy Microsoft Foundry Agents (v1) provider
│ ├── Microsoft.Agents.AI.Anthropic/ # Anthropic provider
│ ├── Microsoft.Agents.AI.Workflows/ # Workflow orchestration
│ └── ... # Other packages
├── samples/ # Sample applications
└── tests/ # Unit and integration tests| Folder | Contents | |--------|----------| | src/ | Source code projects | | tests/ | Test projects — named <Source-Code-Project>.UnitTests or <Source-Code-Project>.IntegrationTests | | samples/ | Sample projects | | src/Shared, src/LegacySupport | Shared code files included by multiple source code projects (see README.md files in these folders or their subdirectories for instructions on how to include them in a project) |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | pass→pass | 10,864 | 3,341 | -69% | 1 | 1 | 0% | 1,833 | 729 | -60% | 0 | 0 | — |
case-04 | fail→pass | 8,815 | 2,565 | -71% | 1 | 1 | 0% | 1,382 | 840 | -39% | 0 | 0 | — |
case-01 | pass→pass | 9,776 | 7,788 | -20% | 1 | 1 | 0% | 1,785 | 892 | -50% | 0 | 0 | — |
case-02 | fail→pass | 12,389 | 2,287 | -82% | 1 | 1 | 0% | 1,998 | 722 | -64% | 0 | 0 | — |
case-05 | fail→pass | 21,229 | 2,670 | -87% | 1 | 1 | 0% | 3,951 | 786 | -80% | 0 | 0 | — |
case-06 | fail→pass | 24,819 | 2,484 | -90% | 1 | 1 | 0% | 4,751 | 873 | -82% | 0 | 0 | — |
case-07 | pass→pass | 12,424 | 3,862 | -69% | 1 | 1 | 0% | 2,071 | 860 | -58% | 0 | 0 | — |
case-08 | pass→pass | 9,039 | 1,631 | -82% | 1 | 1 | 0% | 1,679 | 638 | -62% | 0 | 0 | — |
case-09 | fail→pass | 12,240 | 2,665 | -78% | 1 | 1 | 0% | 2,180 | 872 | -60% | 0 | 0 | — |
case-10 | fail→pass | 7,610 | 2,185 | -71% | 1 | 1 | 0% | 1,353 | 759 | -44% | 0 | 0 | — |
case-11 | pass→pass | 5,786 | 2,140 | -63% | 1 | 1 | 0% | 1,074 | 735 | -32% | 0 | 0 | — |
case-12 | pass→pass | 6,712 | 2,396 | -64% | 1 | 1 | 0% | 1,231 | 760 | -38% | 0 | 0 | — |
case-13 | pass→pass | 9,743 | 1,875 | -81% | 1 | 1 | 0% | 1,641 | 696 | -58% | 0 | 0 | — |
case-14 | pass→pass | 14,105 | 2,025 | -86% | 1 | 1 | 0% | 2,555 | 720 | -72% | 0 | 0 | — |
case-15 | fail→pass | 11,490 | 1,683 | -85% | 1 | 1 | 0% | 2,051 | 590 | -71% | 0 | 0 | — |
case-16 | fail→pass | 11,806 | 3,068 | -74% | 1 | 1 | 0% | 1,634 | 836 | -49% | 0 | 0 | — |
case-17 | pass→pass | 13,735 | 3,618 | -74% | 1 | 1 | 0% | 2,279 | 1,064 | -53% | 0 | 0 | — |
case-18 | pass→pass | 10,765 | 3,167 | -71% | 1 | 1 | 0% | 1,742 | 784 | -55% | 0 | 0 | — |
case-19 | pass→pass | 12,877 | 2,132 | -83% | 1 | 1 | 0% | 2,072 | 756 | -64% | 0 | 0 | — |
case-20 | pass→pass | 14,340 | 6,412 | -55% | 1 | 1 | 0% | 2,411 | 1,531 | -36% | 0 | 0 | — |
case-21 | pass→pass | 15,309 | 9,009 | -41% | 1 | 1 | 0% | 2,638 | 1,917 | -27% | 0 | 0 | — |
case-22 | pass→pass | 14,957 | 15,072 | +1% | 1 | 1 | 0% | 2,530 | 2,974 | +18% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +36 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.