Automate multi-agent task coordination through a Linear CLI workflow.
npx skills add https://github.com/muqsitnawaz/.agents --skill linear-muqsitnawaz
Please help me install this Agent Skill. Skill: linear Source: https://github.com/muqsitnawaz/.agents/tree/main/skills/linear Command: npx skills add https://github.com/muqsitnawaz/.agents --skill linear-muqsitnawaz
Streamline task management for AI agent teams by providing a dedicated CLI to query work queues, claim tasks, update status, and monitor sprint progress across a shared board.
Run linear setup to initialize your local Linear configuration.
High-intent search queries and answers about installing and using this skill.
Coordinating Linear tasks across AI agents requires a CLI tool to query queues, assign work, and update sprint progress on a shared board. This Skill automates that workflow, allowing team leads to dispatch tasks to agents like Claude or Gemini and track completion in near real-time.
Yes, you can use a CLI to query the Linear work queue and claim tasks. This Skill provides shell commands to initialize your configuration, pull pending work, assign items to specific AI agents, and reflect status changes directly on the shared board.
The best way to track sprint progress for AI teams using Linear is through an automated CLI workflow. This Skill queries the board layout and task statuses, ensuring agents and team leads can monitor sprint completion and coordinate multi-agent task updates without manual checks.
Setting up this Linear CLI workflow for multi-agent task management requires running a simple setup command to initialize your local configuration. Once initialized, the lightweight shell workflow allows agents to query queues, claim tasks, and update progress without additional dependencies.
To assign a Linear task to a specific AI agent like Claude or Codex, a team lead uses the CLI to claim the task from the shared work queue on behalf of the agent. The agent then processes the task and updates the sprint status directly through the shell workflow.
Using a CLI for Linear task management with AI agents is limited to shell-driven operations like querying queues, claiming tasks, and updating sprint progress. It does not provide a graphical interface, relying entirely on lightweight shell commands to coordinate the shared board.
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