# Commonset > Commonset gives teams one place to see what AI capabilities exist, who owns them, and which ones the organization actually trusts and uses. Commonset is an AI capability management platform for reusable AI skills, instructions, tools, workflows, and related capability artifacts across teams and AI platforms. ## Core - [Commonset](https://preview.commonset.ai/): See what reusable AI work exists, who owns it, and which versions are approved. - [About Commonset](https://preview.commonset.ai/about/): What Commonset is and the organizational problem it addresses. - [AI agent skills registry](https://preview.commonset.ai/ai-skills-registry/): A governed registry for discovering, versioning, reviewing, approving, securing, and distributing reusable AI agent skills across teams and AI platforms. - [AI skill governance](https://preview.commonset.ai/ai-skill-governance/): Govern AI skills across teams and AI platforms. - [How to govern AI skills](https://preview.commonset.ai/govern-ai-skills/): A practical workflow for ownership, provenance, review, approval, distribution, and drift. - [Commonset vs GitHub](https://preview.commonset.ai/commonset-vs-github/): Compare repository workflows with capability ownership, version review, and approved reuse. - [Commonset vs shared folders and wikis](https://preview.commonset.ai/commonset-vs-shared-folders-and-wikis/): Compare documentation workflows with reviewed artifacts, approved versions, and a shared registry. - [Commonset vs provider-native skills](https://preview.commonset.ai/commonset-vs-provider-native-skills/): Compare native Claude and ChatGPT skill management with organizational coordination across supported tools. - [Security and trust](https://preview.commonset.ai/security/): Commonset security controls, trust evidence, and governance boundaries. - [Developer API and MCP](https://preview.commonset.ai/developers/): Learn how to integrate Commonset through its governed REST and MCP interfaces. - [Developer API Reference](https://preview.commonset.ai/developers/reference/): Browse Commonset API endpoints, parameters, authentication and JSON request/response schemas. - [Custom MCP Python example](https://preview.commonset.ai/developers/examples/custom-mcp/): Copy a Python MCP server and dependencies for integrating with the Commonset REST API. - [Support](https://preview.commonset.ai/support/): How to contact Commonset support for account, integration, billing, and product help. - [Pricing](https://preview.commonset.ai/pricing/): Commonset plans and commercial packaging. - [Privacy Policy](https://preview.commonset.ai/privacy/): How Commonset collects, uses, retains, and protects information. - [Terms of Service](https://preview.commonset.ai/terms/): Terms governing access to and use of Commonset websites and services. ## Resources - [Resources](https://preview.commonset.ai/resources/): Research, guides, white papers, and practical Commonset material. - [7 Ways to Manage AI Skills Across Your Organization](https://preview.commonset.ai/resources/ways-to-manage-ai-skills/): Compare seven ways teams manage reusable AI skills, from local folders and Git repositories to provider libraries and a dedicated governance layer. - [8 Signs Your Team Has an AI Skill Governance Problem](https://preview.commonset.ai/resources/ai-skill-governance-problems/): Eight practical signs that reusable AI skills have outgrown informal sharing, from unknown ownership and version drift to provider silos and unclear approvals. - [7 Things to Check Before Approving an AI Agent Skill](https://preview.commonset.ai/resources/ai-agent-skill-review-checklist/): A practical seven-point checklist for reviewing AI agent skills before organizational approval, covering provenance, instructions, code, permissions, dependencies, versions, and distribution. - [Best AI Skill Management Tools for Teams in 2026](https://preview.commonset.ai/resources/best-ai-skill-management-tools/): Compare AI skill management options for teams in 2026, including Commonset, Claude organization skills, ChatGPT workspace skills, GitHub tooling, and internal registries. - [6 Ways Teams Are Managing Claude Skills Today, and Where Each Breaks Down](https://preview.commonset.ai/resources/manage-claude-skills-team/): Compare six practical ways teams manage Claude Skills, including local folders, Git, Claude organization skills, automation, portable skill tooling, and cross-platform governance. - [AI Skills and Enterprise Governance: Statistics and Research](https://preview.commonset.ai/resources/ai-skills-governance-statistics/): What the evidence says about AI skill performance, versioning and review, with broader workplace AI data clearly separated from skill-specific findings. - [AI Skill Governance Glossary](https://preview.commonset.ai/resources/ai-skill-governance-glossary/): A practical glossary for the terms teams use when managing reusable AI skills across people, repositories, models, and platforms. - [Governing Reusable AI Capabilities](https://preview.commonset.ai/resources/governing-reusable-ai-capabilities/): A researched framework for managing reusable AI capabilities as operational assets, with 18 references, a worked example, and a practical adoption plan. - [Why AI Capability Management Should Be Model-Agnostic](https://preview.commonset.ai/resources/why-ai-capability-management-should-be-model-agnostic/): AI providers will continue to evolve, but the organizational capabilities built on top of them should not have to be recreated every time the underlying model, platform, or format changes. - [Commonset for Developers](https://preview.commonset.ai/resources/commonset-for-developers/): A developer guide to discovering trusted capabilities, creating versioned drafts, using Commonset MCP, running security checks, and moving changes through review. - [Commonset for Security and IT Teams](https://preview.commonset.ai/resources/commonset-for-security-and-it-teams/): A practical guide for security and IT teams using Commonset to inventory AI capabilities, review trust, control access, and understand provider distribution. - [Connecting AI Providers](https://preview.commonset.ai/resources/connecting-ai-providers/): Learn how Commonset connects to provider surfaces, protects credentials, discovers provider capabilities, and keeps provider scope separate from Commonset governance. - [Managing Access](https://preview.commonset.ai/resources/managing-access/): Learn how Commonset separates approval from access, grants discover/use/review/manage permissions, and handles provider audience mismatches. - [Understanding Trust Status](https://preview.commonset.ai/resources/understanding-trust-status/): Learn how Commonset separates lifecycle, review, security/trust, availability, and publication readiness instead of relying on one ambiguous status. - [Versioning and Comparing Changes](https://preview.commonset.ai/resources/versioning-and-comparing-changes/): Learn how Commonset versions capabilities, keeps approved content immutable, compares changes, and tracks local and provider state over time. - [Understanding Capabilities, Skills, and Commonsets](https://preview.commonset.ai/resources/understanding-capabilities-skills-and-commonsets/): Learn the core Commonset vocabulary for capabilities, skills, versions, providers, distributions, ownership, provenance, access, and governed Commonsets. - [Reviewing and Approving Capabilities](https://preview.commonset.ai/resources/reviewing-and-approving-capabilities/): Learn how Commonset reviews capability versions, evaluates changes and security findings, records immutable decisions, and separates approval from publication. - [Creating and Publishing a Capability](https://preview.commonset.ai/resources/creating-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. - [Governing Shadow AI Without Blocking Adoption](https://preview.commonset.ai/resources/governing-shadow-ai-without-blocking-adoption/): Shadow AI is not only a policy problem. It is a signal that employee AI capability is moving faster than organizational governance. This paper presents a risk-based path from unmanaged experimentation to visible, trusted, reusable AI capability. - [Getting Started with Commonset](https://preview.commonset.ai/resources/getting-started-with-commonset/): Learn the core Commonset workflow for adding, reviewing, approving, distributing, versioning, and understanding reusable AI capabilities. - [Commonset Security Architecture](https://preview.commonset.ai/resources/commonset-security-model/): How Commonset protects capability content, sensitive metadata, provider credentials, tenant boundaries, immutable versions, trust evidence, and distribution policy. - [Governance Above the Model Layer](https://preview.commonset.ai/resources/governance-above-the-model-layer/): As reusable AI capabilities spread across models, providers, teams, and workflows, governance cannot live inside any one model platform. Organizations need a durable layer for ownership, versions, provenance, policy, access, approval, and trust. ## Notes - Commonset is provider-neutral. Provider-specific skills are implementations of a broader organizational capability. - Public marketing and resource pages are intended for search and real-time AI retrieval. Commonset does not grant permission for model training through its robots.txt content signals.