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ed91100a0f
Moves the registry/cache pieces of PR #5867 under crewai.experimental.skills and the CLI commands under `crewai experimental skill`. The stable local-file skills feature (loader, parser, validation, models) stays in crewai.skills. Both entry points now require CREWAI_EXPERIMENTAL=1: - resolve_registry_ref() calls require_experimental_skills() before resolving - The `crewai experimental` CLI group raises UsageError when the flag is unset SkillDownloadStarted/CompletedEvent move out of crewai.events.types.skill_events into crewai.experimental.skills.events. * refactor(skills): move 'version' off SkillFrontmatter into metadata The skill version is now stored as `metadata.version` rather than a top-level field on `SkillFrontmatter`. A `before` validator lifts any top-level YAML `version:` into `metadata['version']` so existing SKILL.md files keep parsing.
crewai-cli
CLI for CrewAI — scaffold, run, deploy and manage AI agent crews without installing the full framework.
Installation
pip install crewai-cli
This pulls in crewai-core (shared utilities) but not the crewai framework
itself, so commands that don't need a crew loaded — crewai version,
crewai login, crewai org list, crewai config *, crewai traces *,
crewai create, crewai template * — work standalone.
Commands that load a user's crew or flow (crewai run, crewai train,
crewai test, crewai chat, crewai replay, crewai reset-memories,
crewai deploy push, crewai tool publish) require crewai to be installed
in the project's environment. They print a clear error if it is missing.
To install both at once:
pip install crewai[cli]