What problem does it solve?
Work that must outlive the current chat turn—reminders, periodic reports, continuous monitoring—often gets lost in conversation history or requires manual re-triggering. This Skill gives the Agent a complete mental model of MyAgents Tasks so it can persist intent, schedule future execution, route work to the right session, and govern the full lifecycle through the myagents task CLI.
Core Features & Use Cases
- Task creation with scheduling: Create one-time (scheduled), fixed-interval, or Cron-based recurring tasks with explicit timezones, session routing (single-session vs new-session), and end conditions such as deadlines, max executions, or AI-initiated exit.
- Command Detector activation: Attach a local script that cheaply checks external conditions on each tick and only wakes the AI when a condition is hit, avoiding unnecessary model calls; includes a strict stdin/stdout JSON protocol, checkpointing, and isolated fixture testing.
- Lifecycle governance: Run, stop, start, rerun, archive, delete, inspect execution history, reset checkpoints, and post cross-session task comments, all with authoritative JSON receipts.
- Use Case: Ask the Agent to watch a CI pipeline every 5 minutes and only notify you when a build fails. The Agent writes a detector script, validates it with fixture tests, creates the recurring task with a trigger file, and reports the deployment receipt with next execution time.
Quick Start
Ask the Agent to create a MyAgents task that runs a daily report every morning at 9 AM in your local timezone.