AI Skill Governance Glossary
A practical glossary for the terms teams use when managing reusable AI skills across people, repositories, models, and platforms.
Read resourceGUIDES
Practical guides for governing AI capabilities.
Clear guidance for designing, reviewing, distributing, and operating reusable AI capabilities.
12 resources in guides
Managing Claude Skills Across an Enterprise
A practical guide to managing Claude skills across teams, from inventory and ownership to approved versions, testing, distribution, and retirement.
Read resourceGetting Started with Commonset
Learn the core Commonset workflow for adding, reviewing, approving, distributing, versioning, and understanding reusable AI capabilities.
Read resourceCreating and Publishing a Capability
Learn how to create a Commonset capability, build a version, pass trust checks, request review, and publish an approved version to a supported provider.
Read resourceReviewing and Approving Capabilities
Learn how Commonset reviews capability versions, evaluates changes and security findings, records immutable decisions, and separates approval from publication.
Read resourceUnderstanding Capabilities, Skills, and Commonsets
Learn the core Commonset vocabulary for capabilities, skills, versions, providers, distributions, ownership, provenance, access, and governed Commonsets.
Read resourceVersioning and Comparing Changes
Learn how Commonset versions capabilities, keeps approved content immutable, compares changes, and tracks local and provider state over time.
Read resourceUnderstanding Trust Status
Learn how Commonset separates lifecycle, review, security/trust, availability, and publication readiness instead of relying on one ambiguous status.
Read resourceManaging Access
Learn how Commonset separates approval from access, grants discover/use/review/manage permissions, and handles provider audience mismatches.
Read resourceConnecting AI Providers
Learn how Commonset connects to provider surfaces, protects credentials, discovers provider capabilities, and keeps provider scope separate from Commonset governance.
Read resourceCommonset for Developers
A developer guide to discovering trusted capabilities, creating versioned drafts, using Commonset MCP, running security checks, and moving changes through review.
Read resourceCommonset Security Model
Commonset's security model combines conventional application security with controls that preserve the meaning of ownership, provenance, review, approval, and distribution as AI capabilities change over time.
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