Capability
plungeai-scheduling
Cron-schedule PlungeAI workflows, agent queries, pre-built agent cards, and condition-watching heartbeats via plungeai_schedule, with full run history and retries.
Cron-schedule PlungeAI workflows, agent queries, pre-built agent cards, and condition-watching heartbeats via plungeai_schedule, with full run history and retries. Use when the user wants something to run daily/hourly/on a cron, a recurring report, a standing watchdog, or asks about job status, retries, or why a scheduled run didn't fire. For the workflow or mission being scheduled use plungeai-workflows / plungeai-missions; for a list-to-completion campaign's own cadence use plungeai-campaigns.
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The scheduler runs platform work unattended on cron expressions: a saved workflow every morning, an agent query hourly, a pre-built agent card nightly, or a condition-watching heartbeat. Every job has first-class run history — nothing here is fire-and-forget.
Prerequisites
- A self-service
ozk_API key from Dashboard → One API → Keys (https://dashboard.plungeai.com (opens in a new tab)), or an MCP client connected tohttps://mcp.plungeai.com/v1. - The thing being scheduled must already exist and be discoverable:
plungeai_list_workflowsfor a saved workflow,plungeai_list_agents {search: "…"}for an agent/check_agent id — never guess an id, it is fence-checked at create time.
Creating a job — plungeai_schedule
Action-routed, one tool:
plungeai_schedule {action: "create", name: "Daily market brief",
job_type: "workflow", # agent | query | workflow | heartbeat
target: "<workflow id>", schedule: "0 7 * * *"} # 07:00 UTC daily
plungeai_schedule {action: "list"}
plungeai_schedule {action: "run_now", job_id: "…"} # always do this right after create
plungeai_schedule {action: "runs", job_id: "…"} # Execution ID column → plungeai_get_result
plungeai_schedule {action: "stats"}Four create shapes — workflow (target = a workflow id you own), agent (target
= an agent id + parameters: {prompt}), query (target = {agent, query} JSON),
and heartbeat (check_agent + condition_prompt, ticks and only acts when the
condition is met — of the five notify_channel values, telegram/discord/slack/email
all deliver through the normal per-channel adapters; whatsapp is a known gap, prefer
trigger_workflow or another channel for it). mission_ref on create
schedules a pre-built agent card directly, resolved live at fire time.
Standard 5-field cron, UTC, 1-minute minimum granularity, ±5s accuracy. Use the
rolling date tokens ({yesterday}, {week_start}, {last_week_end}, …) instead of
baking concrete dates into scheduled YAML — full table in
references/scheduling.md.
Verify every job you create
run_now fires immediately and reports the REAL outcome plus a resolvable
execution id — always call it right after create to prove the job works
end-to-end, rather than waiting for the first natural fire.
Gotchas
- Workflow jobs run by reference — edit the workflow in Studio and the next scheduled run uses the latest saved version automatically; there is no "update the schedule to change the logic".
- Delete is soft — history stays readable, but a deleted job refuses run_now/update/pause/resume; there is no undelete.
- Failed runs auto-retry (3 attempts, 5 minutes apart) and re-fire the FULL job — schedule only idempotent work, or make the workflow itself idempotent.
- A scheduler run id (
exec_..., underscore) is not resolvable byplungeai_get_workflow_status/plungeai_get_resultdirectly — go throughaction: "runs"and take its Execution ID column first. - Scheduled user workflows keep the full per-user memory lifecycle (recall + write) — only system jobs and heartbeat checks are memory-free.
@oncefires once then soft-deletes;runAgain(a workflow's own last step) self-schedules the next@oncerun without any cron expression at all — the mechanism behind a campaign that "just keeps going."
Related skills
plungeai-workflows— author the workflow a job runs.plungeai-missions— author the mission amission_refjob runs.plungeai-campaigns— a list-to-completion ledger driven by cron orrunAgain.plungeai-memory— the recall/write lifecycle of a scheduled run.plungeai-results-traces— read a job run's status, output, and trace once you have its Execution ID.
Reference
references/scheduling.md— full action table, cron/date-token reference, heartbeat semantics, retries/history, troubleshooting, and theplungeai_scheduleMCP tool contract.