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1556dbea3e
* Add generated Flow Definition authoring skill Generate a portable skill from the Flow Definition schema so agents can author valid declarative flows with the same reference CrewAI uses to validate them. New declarative flow projects now write this skill. ```python from crewai.flow.flow_definition import FlowDefinition skill = FlowDefinition.skill(skips=(), examples_format="yaml") ``` * `examples_format` accepts `"yaml"` or `"json"`. * Supported skips: `conversational`, `non_linear_flows`, `each`, `hitl`, `persistence`, `config`, `expression_action`, `script_action`, `tool_action` The generated skill includes authoring rules, a routed crew example, and an API reference extracted from the Flow, action, state, agent, crew, and task Pydantic schemas. * Fix declarative flow scaffold without framework import * Fix skipped expression action guidance * Fix markdown links in skill
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]