acquiring-skills
Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a…
Advanced scheduling through the letta cron CLI for other conversations, computers, run history, and schedule replacement. Use Wake for ordinary create/list/cancel operations in the current conversation.
Claude Code
$ npx -y skills add letta-ai/letta-code --skill scheduling-tasks --agent claude-code
Codex
$ npx skills add letta-ai/letta-code --skill scheduling-tasks -a codex -y
Cursor
$ npx skills add letta-ai/letta-code --skill scheduling-tasks -a cursor -y
Gemini CLI
$ npx skills add letta-ai/letta-code --skill scheduling-tasks -a gemini-cli -y
GitHub Copilot
$ npx skills add letta-ai/letta-code --skill scheduling-tasks -a github-copilot -y
OpenCode
$ npx skills add letta-ai/letta-code --skill scheduling-tasks -a opencode -y
Windsurf
$ npx skills add letta-ai/letta-code --skill scheduling-tasks -a windsurf -y
name: scheduling-tasks description: Advanced scheduling through the letta cron CLI for other conversations, computers, run history, and schedule replacement. Use Wake for ordinary create/list/cancel operations in the current conversation.
This skill lets you create, list, and manage scheduled tasks using the `letta cron` CLI. Scheduled tasks send a prompt to the agent on a timer — useful for reminders, periodic check-ins, and deferred follow-ups.
For ordinary one-shot or recurring work in the current conversation, use Wake instead. Wake is self-bound and covers create, list, and cancel without routing choices.
Execution determines schedule ownership; there is no runner selection flag:
From a managed Cloud sandbox, `--computer <deviceId>` can run the scheduled work on a specific connected computer. Get the device ID from `letta computers list`. If that computer is offline at fire time, that occurrence fails (`TARGET_DEVICE_UNAVAILABLE`) and does not run; omit `--computer` to run in the Cloud sandbox. Local execution cannot target another computer.
Creation and execution follow those rules, while management commands still show and cancel both local and Cloud inventory. This keeps schedules created by older CLI versions visible without changing where new schedules run.
All commands go through `letta cron` via the Bash tool. Output is JSON.
letta cron add --name <short-name> --description <text> --prompt <text> <schedule>
**Required flags:**
| Flag | Description | |------|-------------| | `--name <text>` | Short identifier for the task (e.g. "dog-walk-reminder") | | `--description <text>` | Human-readable description of what the task does | | `--prompt <text>` | The message that will be sent to the agent when the task fires |
**Schedule (pick one):**
| Flag | Type | Example | |------|------|---------| | `--every <interval>` | Recurring (cron shorthand) | `5m`, `2h`, `1d` | | `--at <time>` | One-shot | `"in 45m"`, `"2026-09-24T09:00:00-07:00"` | | `--cron <expr>` | Raw cron (recurring) | `"0 9 * * 1-5"` |
**Optional flags:**
| Flag | Description | |------|-------------| | `--agent <id>` | Agent ID (defaults to `LETTA_AGENT_ID` from the current shell/session) | | `--conversation <id>` | Conversation target: omit or pass `new` for a fresh conversation per fire; pass `self` for the current conversation; pass `default` for the agent default; or pass a concrete ID | | `--computer <id>` | From managed Cloud, execute on a specific connected computer | | `--once` | Mark `--at` as one-shot (already the default for `--at`) |
letta cron list
Optional filters: `--agent <id>`, `--conversation <id>`
`get` accepts an ID or name:
letta cron get <id-or-name> [--agent <id>]
letta cron runs --id <task-id> [--limit <n>] [--agent <id>]
For local run history, `--run-id <id>` selects one run. Cloud history ignores that flag.
If exact routing matters, pass both `--agent` and `--conversation` explicitly.
`letta cron add` falls back to `LETTA_AGENT_ID` for the agent. An omitted `--conversation` means `"new"`, so every fire gets a fresh conversation. Pass `--conversation self` to capture the current `LETTA_CONVERSATION_ID`, `--conversation default` for the agent default, or a concrete conversation ID.
Safest pattern:
letta cron add \ --name "email-check" \ --description "Daily email summary in this conversation" \ --prompt "Check the user's email and post a summary here." \ --cron "0 10 * * *" \ --agent "$LETTA_AGENT_ID" \ --conversation self
Then verify the binding explicitly:
letta cron list --agent "$LETTA_AGENT_ID" --conversation self
`delete` accepts an ID or name; `remove` is an alias.
# Delete a specific task letta cron delete <id-or-name> [--agent <id>] # Delete all tasks for one agent letta cron delete --all --agent "$AGENT_ID"
In-place editing is not available. To change a schedule, create and verify the replacement before deleting the old one.
Cloud-schedule recurring expressions (both `--cron` and the expression `--every` compiles to) are interpreted in **UTC**. Users say times in their local timezone, so convert before writing the expression: a user in PDT asking for "9am daily" needs `--cron "0 16 * * *"` (9am PDT = 16:00 UTC; 17:00 during PST). State the conversion in your reply so the user can catch a wrong assumption. Local-runner recurring tasks use the computer's local timezone.
For a one-shot calendar request such as "tomorrow at 9am," resolve the date in the user's timezone and pass `--at` an RFC 3339 timestamp with an explicit offset. Infer a reasonable timezone from available context instead of asking a redundant follow-up. State the timezone you used in the confirmation (for example, "Scheduled for 9:00 AM PT") so the user can correct the assumption. A bare clock such as `--at "9:00am"` uses the current process timezone, which may be UTC in Cloud; use it only when that is the intended timezone. Relative values such as `--at "in 45m"` do not need a timezone.
letta cron add \ --name "dog-walk-reminder" \ --description "Daily 9am (America/Los_Ange
Letta Code is a stateful agent harness for creating agents that are more like people than tools. Letta Code agents have memory, identity, and a sense of experience over time.
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