# Operating Model Deployment Kit (OMDK)

A self-contained governance backbone for AI work that scales across projects, tools, teams, and time.

## What this is

The OMDK is a deployment kit. Drop it into a function or org pod, run the deploy skill against it, and you get a scaffolded operating-model instance with consistent governance, a continuous improvement cycle, and refusal-conditioned skills that prevent silent decay.

## What's in this zip

- `OPERATING-MODEL.md` - foundational taxonomy + process (the 8-layer architecture, 4-step maturity scale, behavior triggers, failure modes)
- `OPERATING-MODEL-PATTERNS.md` - work patterns, persistence layers, persistence-respect mechanism, roll-up topology
- `BOOTSTRAP-BRIEF.md` - load-this-first standard for the deployed instance
- `PHILOSOPHY.md` - the kit's ten cardinal insights
- `TERMS.md` - protected vocabulary
- `RECURSION-PATTERNS.md` - how the kit rebuilds itself with each new context
- `QUESTIONS.md` - 10 mandatory localization questions
- `KICKOFF.md` - prompt that bootstraps a deployed instance
- `SKILL-INVENTORY.md` - manifest of all 43 skills shipped
- `decisions/` - 8 immutable kit-foundational ADRs
- `skills/` - 43 skills (11 kit-native + 32 bundled from Cowork, AI-Architect, security)
- `diagrams/` - polished + default-styled rendered visuals
- `templates/` - layer templates + governance artifact templates
- `examples/` - one worked example (`martech-mature-instance/`)

## How to deploy

1. Read `BOOTSTRAP-BRIEF.md` end to end.
2. Read `KICKOFF.md` to understand the deployed-instance starter posture.
3. Walk through `QUESTIONS.md` for the 10 mandatory localization questions.
4. Invoke the `deploy` skill (in `skills/deploy/`) to scaffold the instance.
5. Run `validate` (in `skills/validate/`) to audit maturity post-scaffold.
6. Operate via the patterns in `OPERATING-MODEL-PATTERNS.md`.

## What you get

A deployment that:

- Has all 8 layers named (Strategy → Cross-Platform Glue) with explicit decision records for each
- Reports its own maturity state (none / stubbed / partial / mature) per layer with named gaps
- Logs every AI output with the four-piece reproducibility quadruple (model + prompt + tools + data version)
- Refuses to skip steps that matter (skills with structural refusal conditions)
- Mirrors source-of-truth content one-way only (no silent drift)
- Revisits the system on each meaningful trigger (continuous improvement, not silent decay)

## License + posture

This kit is shared as a methodology contribution. Use it. Adapt it. Fork it. The mechanism is more valuable when more practitioners use it.

## Versioning

V1.x. See `decisions/ADR-0001-polymorphic-single-kit.md` and forward for the kit's own foundational choices.
