Agent Skills › letta-ai/letta-code › working-across-computers

working-across-computers

GitHub

指导在云端、本地及多台计算机间协作,包括会话迁移、远程子代理运行和文件传输。当需要跨设备访问资源或移动工作负载时触发。

src/skills/builtin/working-across-computers/SKILL.md letta-ai/letta-code

触发场景

需要访问其他计算机的文件或工具 连接新计算机 在本地与云端之间转移或委派工作

安装

npx skills add letta-ai/letta-code --skill working-across-computers -g -y
更多选项

非标准路径

npx skills add https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/working-across-computers -g -y

不安装直接使用

npx skills use letta-ai/letta-code@working-across-computers

指定 Agent (Claude Code)

npx skills add letta-ai/letta-code --skill working-across-computers -a claude-code -g -y

安装 repo 全部 skill

npx skills add letta-ai/letta-code --all -g -y

预览 repo 内 skill

npx skills add letta-ai/letta-code --list

SKILL.md

Frontmatter
{
    "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."
}

Working Across Computers

Discover access before declaring a limitation

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. Do not infer that another computer is inaccessible merely because you are running in Cloud.

Choose where to work

  • When running in Cloud, prefer staying there and delegating local work to subagents on the relevant computer.
  • If the user explicitly asks to move this conversation locally or elsewhere, teleport it.
  • Moving a conversation that started locally into Cloud is a normal workflow: transfer needed files first, then teleport.
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.

Move this conversation

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.

Local → Cloud

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

Cloud → other computers

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

Transfer files to or from Cloud

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>
  • --agent alone selects that agent's main/default conversation. Concrete --conversation IDs resolve their owning agent.
  • Target flags override the executing session without changing its identity. Do not replace the subagent's identity environment variables with the parent's.
  • The executing computer's credentials must authorize access to the target.
  • Commands return JSON. Use the exact upload path returned; never reconstruct it from the filename.
  • Download sources must be under /root/downloads; --to selects the destination path on the receiving computer. Without --to, download saves under the source file's basename.
  • Transfer files directly, not as base64 or file contents through model messages. Return the path and destination IDs; verify received contents or checksums.
  • These commands transfer files to/from Cloud sandboxes, not arbitrary remote filesystems. No sandbox ID or separate wake command is needed.

版本历史

  • 13aad83 当前 2026-09-22 06:45

同 Skill 集合

.skills/adding-models/SKILL.md
.skills/capturing-tui-visual-proof/SKILL.md
src/skills/builtin/acquiring-skills/SKILL.md
src/skills/builtin/browser-use/SKILL.md
src/skills/builtin/context-doctor/SKILL.md
src/skills/builtin/converting-mcps-to-skills/SKILL.md
src/skills/builtin/creating-mods/SKILL.md
src/skills/builtin/creating-skills/SKILL.md
src/skills/builtin/customizing-commands/SKILL.md
src/skills/builtin/customizing-statusline/SKILL.md
src/skills/builtin/dispatching-coding-agents/SKILL.md
src/skills/builtin/editing-letta-code-desktop-preferences/SKILL.md
src/skills/builtin/finding-agents/SKILL.md
src/skills/builtin/generating-mod-envs/SKILL.md
src/skills/builtin/image-generation/SKILL.md
src/skills/builtin/initializing-memory/SKILL.md
src/skills/builtin/letta-guide/SKILL.md
src/skills/builtin/managing-shared-memory/SKILL.md
src/skills/builtin/messaging-agents/SKILL.md
src/skills/builtin/migrating-memory/SKILL.md
src/skills/builtin/modifying-the-harness/SKILL.md
src/skills/builtin/scheduling-tasks/SKILL.md
src/skills/builtin/self-configuration/SKILL.md
src/skills/builtin/submitting-feedback/SKILL.md
src/skills/builtin/syncing-memory-filesystem/SKILL.md
src/skills/builtin/teleporting-between-environments/SKILL.md
src/skills/builtin/using-cloud-mcp/SKILL.md
src/skills/builtin/using-mcp-tools/SKILL.md
src/skills/builtin/workflow-authoring/SKILL.md

元信息

文件数
0
版本
1cab1b7
Hash
d9ca26fd
收录时间
2026-09-22 06:45

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