Linear Command Reference
TL;DR Use this reference to understand the commands available in Linear for optimizing your product development process. Each command is categorized for easy navigation.
AI Agent Commands#
Parameter/Command
Type
Description
Example
addCommand
Add a new task or issue to your project.
add "Implement user authentication"
reviewCommand
Review a specific issue or task assigned to you.
review ENG-2844
delegateCommand
Delegate a task to an AI agent for execution.
delegate "Fix API bug" to Linear Agent
groupCommand
Group issues by their next steps or priorities.
group by "API launch delays"
Project Management Commands#
Parameter/Command
Type
Description
Example
triageCommand
Triage issues based on urgency and importance.
triage today's mobile issues
updateCommand
Update the status of a task or project.
update ENG-2498 to "In Progress"
loopCommand
Create a recurring job for tasks that need regular attention.
loop "Weekly code review"
contextCommand
Add context to a task for better clarity.
context "Review notification grouping"
Collaboration Commands#
Parameter/Command
Type
Description
Example
collaborateCommand
Collaborate with team members on a specific issue.
collaborate on "Design mockups"
notifyCommand
Notify team members about updates or changes.
notify team about API launch
assignCommand
Assign a task to a specific team member or agent.
assign "Fix login bug" to @john
commentCommand
Add comments or feedback to an issue or task.
comment "Needs more testing"
Coding Commands#
Parameter/Command
Type
Description
Example
codeCommand
Write code for a specific task using Linear Agent.
code "Implement retry handling"
buildCommand
Build the project or specific components.
build "User profile feature"
reviewCommand
Review code changes before merging.
review pull request #42
testCommand
Run tests on the current codebase.
test "User login functionality"
Conclusion#
Leverage these commands in Linear to streamline your product development process, enhance collaboration with your team, and effectively utilize AI agents. For more detailed guidance, refer to the Linear documentation .