dotnet-mcaf · v1.2.1 · 2026-03-25 · sha256 46a7d1af5147bfab
dotnet-mcaf v1.2.1A
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---
name: dotnet-mcaf
version: "1.2.1"
category: "Core"
description: "Adopt MCAF governance in a .NET repository with the right AGENTS.md layout, repo-native docs, skill installation, verification rules, and non-trivial task workflow. Use when bootstrapping or updating MCAF alongside the dotnet-skills catalog."
compatibility: "Best for repositories that want MCAF governance and also use dotnet-skills for actual .NET implementation work."
---
# MCAF Adoption
## Trigger On
- bootstrapping MCAF in a new or existing repository that also contains `.NET` work
- updating root or project-local `AGENTS.md` files to follow a durable repo workflow
- deciding which MCAF governance skills and `dotnet-*` implementation skills to install together
- organizing repo-native docs for architecture, features, ADRs, testing, development, and operations
## Workflow
1. Start from the canonical bootstrap surface:
- tutorial: `https://mcaf.managed-code.com/tutorial`
- concepts: `https://mcaf.managed-code.com/`
- public MCAF skills: `https://mcaf.managed-code.com/skills`
2. Place root `AGENTS.md` at the repository or solution root.
3. Add project-local `AGENTS.md` only when the solution has multiple projects with genuinely different local rules.
4. Install MCAF governance skills (`dotnet-mcaf-*`) for process areas and `dotnet-*` implementation skills for framework work. Check `references/skill-map.md` for overlap before adding duplicate surfaces.
5. Route to the narrowest MCAF skill once the governance concern is clear:
| Concern | Skill |
|---------|-------|
| Delivery workflow and feedback loops | `dotnet-mcaf-agile-delivery` |
| Developer onboarding and local inner loop | `dotnet-mcaf-devex` |
| Durable docs structure and source-of-truth placement | `dotnet-mcaf-documentation` |
| Executable feature behaviour docs | `dotnet-mcaf-feature-spec` |
| Human review for large AI-generated drops | `dotnet-mcaf-human-review-planning` |
| ML/AI product delivery process | `dotnet-mcaf-ml-ai-delivery` |
| Explicit quality attributes and trade-offs | `dotnet-mcaf-nfr` |
| Branch, merge, and release hygiene | `dotnet-mcaf-source-control` |
| Design-system, accessibility, front-end direction | `dotnet-mcaf-ui-ux` |
6. Scaffold repo-native documentation:
```
docs/
├── Architecture.md
├── Features/
├── ADR/
├── Testing/
├── Development/
└── Operations/
```
7. Encode the non-trivial task flow in `AGENTS.md`: `<slug>.brainstorm.md` then `<slug>.plan.md` then implementation and validation.
8. Treat verification as part of done: tests, analyzers, formatters, coverage, and any architecture or security gates the repo configured.
```mermaid
flowchart LR
A["Adopt MCAF"] --> B["Root AGENTS.md"]
B --> C{"Multi-project?"}
C -->|Yes| D["Project-local AGENTS.md"]
C -->|No| E["Root policy only"]
B --> F["Install mcaf-* governance skills"]
B --> G["Install dotnet-* implementation skills"]
D --> H["Document boundaries and commands"]
E --> H
F --> I["Repo-native docs scaffolds"]
G --> J[".NET implementation guidance"]
H --> K["Run full quality pass"]
I --> K
J --> K
```
## Deliver
- repository-ready MCAF adoption with clear root and local `AGENTS.md` responsibilities
- correct split between `mcaf-*` governance and `dotnet-*` implementation skills
- repo-native docs and verification expectations instead of chat-only instructions
## Validate
- root `AGENTS.md` exists at the repository or solution root
- project-local `AGENTS.md` files exist only where genuinely needed
- repo documents exact build, test, format, analyze, and coverage commands
- durable docs exist for architecture and behavior, not only inline comments
- non-trivial work follows the brainstorm-to-plan flow before implementation
- the full quality pass is part of done, not only a narrow happy-path test run
## References
- references/adoption.md - canonical MCAF entry points, bootstrap rules, and the local-mirror boundary between governance and implementation skills
- references/skill-map.md - MCAF catalog map with overlap-vs-new split for precise routing