For buyers
Compare concepts like MCP, Project Keys, publisher review, pricing gates, and marketplace trust before adopting a Skill into a project.
SkillHub resources
Practical explainers for teams adopting AI Agent Skills, MCP, governed runtime, SEO/GEO automation, and marketplace operations.
Reading path
These articles explain how to adopt AI Agent Skills safely: what to inspect, how runtime should be governed, and when a team should move from free evaluation to Pro operations.
Compare concepts like MCP, Project Keys, publisher review, pricing gates, and marketplace trust before adopting a Skill into a project.
Use the articles to decide review rules, support handoff, abuse handling, and what evidence must exist before a Skill becomes operational.
After reading, move to a solution page, marketplace category, docs page, or contact path instead of stopping at the article.
An AI Agent Skill is a reusable capability with a manifest, input/output schema, permission profile, runtime entrypoint, publisher metadata, and review state. Treat it like infrastructure, not a prompt snippet.
Open guideMCP helps agents discover and call tools. SkillHub adds marketplace discovery, publisher trust, permission review, project policy, runtime evidence, and commercial readiness around those tools.
Open guideSEO and GEO teams should start with visibility diagnosis, content briefs, entity clarity, citation readiness, and technical repair queues before automating publishing.
Open guideA trustworthy marketplace exposes manifest contracts, permissions, publisher profile, review state, support path, version history, runtime boundaries, and clear paid-access rules.
Open guideProject Keys separate public inspection from real invocation. Teams should scope keys by project, rotate them when owners change, and review logs after runtime calls.
Open guideBefore adopting a third-party Skill, buyers should inspect publisher identity, examples, support path, review state, permissions, runtime contract, and version history.
Open guideFree workflows should prove low-risk value first. Pro becomes useful when a team needs recurring audits, project policies, runtime logs, and shared operating control.
Open guide