acquiring-skills
Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a capability you don't already have —…
Guides work across Cloud, local, and other available computers, including teleporting conversations, running remote subagents, and transferring files. Load when a request needs the user's laptop or another machine's files, apps, or tools; when connecting a computer; or when
$ npx -y skills add letta-ai/letta-code --skill working-across-computers --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/working-across-computersContext preview
The summary Claude sees to decide when to auto-load this skill.
Guides work across Cloud, local, and other available computers, including teleporting conversations, running remote subagents, and transferring files. Load when a request needs the user's laptop or another machine's files, apps, or tools; when connecting a computer; or when
name: working-across-computers description: Guides work across Cloud, local, and other available computers, including teleporting conversations, running remote subagents, and transferring files. Load when a request needs the user's laptop or another machine's files, apps, or tools; when connecting a computer; or when moving or delegating work between local and Cloud in either direction, including running Cloud subagents from local.
The current filesystem is not the full set of computers you can use. When a request needs another computer, run `letta teleport list`. If a suitable computer is available, delegate there; otherwise follow the [connection instructions](references/connect-a-computer-for-remote-access.md). Do not infer that another computer is inaccessible merely because you are running in Cloud.
| Intent | Mechanism | |---|---| | Run work elsewhere while staying here | `Agent` | | Bring a remote file into a Cloud conversation | Remote agent: `sandbox upload` | | Put a Cloud file onto another computer | Remote agent: `sandbox download` | | Continue this conversation elsewhere | `teleport` |
Conversation history and agent memory follow the conversation. Files, working directories, installed tools, credentials, and running services belong to each computer; teleporting does not copy the workspace.
For remote subagents, set `computer` and pass source paths and destination conversation IDs explicitly. Use the `Agent` tool definition for invocation and resume options.
If the user wants to connect a new computer, `letta teleport list` has no suitable target, or the requested local machine is missing or unreachable, read [Connect a computer for remote access](references/connect-a-computer-for-remote-access.md).
**Run the teleport handoff alone as the final tool call.** After success, do not poll or run more source-side tools; the same conversation resumes at the destination automatically. Set the working directory and check required setup there. If teleport fails, stay on the source and resolve the error before retrying. The Cloud sandbox remains available while you work elsewhere.
Upload any files needed in Cloud:
letta sandbox upload <local-path>
Keep the returned paths, repository/branch, and next action in context, then create or resume this conversation's Cloud sandbox:
letta teleport cloud
List available computers:
letta teleport list
Have a remote subagent download any needed files and verify completion before moving. Use a returned computer name, device ID, or connection ID:
letta teleport <computer>
With exactly one online Desktop, open with Remote Access enabled, you can use the shortcut:
letta teleport local
Run upload where the local file exists; run download where the local copy should be saved.
# Use the executing conversation's Cloud sandbox letta sandbox upload <local-path> letta sandbox download <sandbox-path> --to <local-path> # Explicit Cloud conversation (sandboxes are per-conversation) letta sandbox upload <local-path> --conversation <destination-conversation-id> letta sandbox download <sandbox-path> \ --conversation <source-conversation-id> --to <local-path> # An agent's main/default conversation letta sandbox upload <local-path> --agent <agent-id> letta sandbox download <sandbox-path> --agent <agent-id> --to <local-path>
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.
Repo: letta-ai/letta-code
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