anthropics/skills180krig-bundles-and-shareable-artifacts
Use when authoring or installing a rig bundle (packaged, shareable artifact that instantiates an opinionated OpenRig topology + workflow), reasoning about the bundle vs extension boundary, or auditing a bundle for portability. Covers the 4 failure modes that prevent bundles from working anywhere but the operator's machine, and the inspect-before-install discipline.
Install
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SKILL.md
Rig Bundles and Shareable Artifacts
A rig bundle is a packaged, shareable artifact that can instantiate an opinionated OpenRig topology and workflow. It may include:
- rig specs
- agent specs
- workflow specs
- startup files
- skills or skill references
- operating-mode declarations
- proof expectations
- supporting fragments
Shareable artifact is broader than bundle: specs, bundles, skills, workflows, and extensions can all be shared. A bundle is the packaged form for "load this topology and way of working."
Use this when
- Authoring a bundle from a proven lab pattern
- Installing a bundle (
rig bundle install <path>) - Inspecting a bundle before install (
rig bundle inspect <path>) - Reasoning about bundle vs extension boundary (bundle declares topology + workflow; extension adds behavior)
- Auditing a bundle for portability — does it work on a clean OpenRig environment, or only the author's machine?
Don't use this when
- The work is a one-off topology you won't reuse. Specs alone are sufficient.
- The intent is to add runtime behavior (commands, views, dashboards). Use
extension-and-user-workspace, not bundles. - You want to ship a workflow as a daemon feature. Bundle is the path before daemon promotion.
The bundle vs extension boundary (load-bearing)
| Concept | Declares | Example |
|---|---|---|
| Bundle | Rig shape + workflow ("load this topology and way of working") | A Velocity Team bundle |
| Extension | Behavior added to user workspace/runtime | A custom command, view, or dashboard |
Don't confuse them. A bundle is opinionated content; an extension is added behavior. Both can be shareable artifacts, but they're structurally distinct.
Failure modes (4)
- A bundle works only on the operator's machine because paths, providers, or credentials are implicit. Bundles must be self-describing for a clean OpenRig environment.
- A bundle includes too much local state and becomes a backup archive instead of a reusable artifact. Bundle is the intended shape, not the current state of one specific install.
- A bundle declares topology but omits proof expectations or workflow mode. Topology alone doesn't tell users what "working as advertised" means.
- Users cannot inspect what a bundle will create before installing it.
rig bundle inspectmust show what will be created without side effects.
Proof standard
Proof should:
- Install the bundle into a clean OpenRig environment
- Instantiate it
- Verify the expected seats and workflow mode
- Run a small smoke proof that the topology behaves as advertised
Bundle path → product
Bundles are how proven lab patterns become reusable product experiences:
local dogfood pattern
→ bundle (with manifest, parameterization, proof expectations)
→ installed by another user on clean OpenRig
→ opinionated workflow shipped without becoming a daemon feature
→ if dependable, graduate parts into core daemon
This is also how OpenRig can ship opinionated workflows without making every workflow a daemon feature.
See also
extension-and-user-workspaceskill — sibling primitive for user-owned behavior added to runtime; bundle vs extension boundaryspecification-systemskill — rig specs / agent specs / workflow specs that bundles packageagent-startersskill — bundles can include or reference Agent Startersopenrig-userskill —rig bundle create / inspect / installCLI surface
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