7 skills · sorted by relevance
Task claiming and ownership tracking for parallel agent execution. Agents claim tasks from a shared queue with file ownership enforcement. Use during parallel execution phases when multiple agents work simultaneously.
The English summary is being prepared. Showing the original description.
Use for persistent task-queue with priorities + daemon.
The English summary is being prepared. Showing the original description.
任务排队与执行追踪。导航时机：调试任务状态流转、队列管理、子任务状态更新。
The English summary is being prepared. Showing the original description.
Use when integrating Celery with Django - task definition and calling, django-celery-beat scheduling, worker deployment, Flower monitoring, testing tasks, batch processing, or choosing between cron and beat
The English summary is being prepared. Showing the original description.
Use when running background tasks with Celery - worker and broker configuration (Redis, RabbitMQ), task routing by name vs queue, chains/groups/chords, retry patterns (autoretry_for, retry_backoff), acks_late semantics, failure detection, and monitoring with Flower
The English summary is being prepared. Showing the original description.
Task claiming and file-ownership tracking for parallel execution: agents claim tasks from a shared queue with ownership enforced. Use during parallel phases with multiple simultaneous agents.
The English summary is being prepared. Showing the original description.
Set up parallel agent team for COMPLEX tasks. Creates worktree structure, generates ownership map, and initializes task queue. Use when orchestrator decomposes a task into parallel subtasks, or when asked to "set up team", "parallel setup", or "configure worktrees".
The English summary is being prepared. Showing the original description.