When should I use the Shared Task Queue instead of a traditional API?

This skill is ideal for AI agents running in restricted environments (like Linux containers) that need to control tasks on a host machine, legacy hardware, or remote systems without setting up complex webhooks or message brokers.

Which AI agents and operating systems are supported?

The skill is environment-agnostic; it works with any agent capable of executing shell commands or Python. It is designed to bridge operations between different OS environments, such as a Linux agent communicating with a Windows-based worker.

Do I need to install a database or message broker like Redis?

No specialized infrastructure is required. You only need a shared directory accessible by both the agent and the worker process, such as a local mount, an SMB/NFS share, or a cloud-sync folder like Dropbox.

What specific assets are included in this purchase?

The package includes the core skill logic, a set of ready-to-use Bash scripts for task management (send, wait, receive, purge), and Python fallback scripts for environments where Bash is unavailable.

How does the skill ensure task data isn't lost during high-traffic periods?

The skill uses a JSON-based inbox/outbox pattern with atomic file operations to prevent data corruption and race conditions, ensuring reliable task delegation even over slower network mounts.

host-shared-task-queue

by PromptSpace

Async task delegation for AI agents via shared folders—perfect for cross-OS and remote worker coordination.

Trigger Windows-only CLI tools from a Linux-based AI agent environment.
Coordinate work across machines behind NAT without exposing public endpoints.
Delegate long-running tasks to an external worker to bypass agent timeouts.

Security scannedInstant install

One-time purchase

Included in download

Downloadable skill package
Works with OpenClaw, Cursor
Instant install

PromptSpace

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Tested onOpenClaw, Cursor, Claude Code
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LicenseCommercial use — single seat

host-shared-task-queue

by PromptSpace

Async task delegation for AI agents via shared folders—perfect for cross-OS and remote worker coordination.

77 views

One-time purchase

⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →

Included in download

Downloadable skill package
Works with OpenClaw, Cursor
Instant install

77 views

About This Skill

What it does

The Shared Task Queue skill provides a robust, low-tech way for an AI agent to delegate tasks to external processes using a shared filesystem directory as the transport. It implements an asynchronous inbox/outbox pattern that works across different machines, operating systems, and user accounts without requiring complex network setup or message brokers.

Why use this skill

Developers often face the "walled garden" problem where an AI agent in a Linux container needs to trigger a process on a Windows host, a legacy machine, or a browser session behind a NAT. This skill bridges that gap. Unlike standard MCP servers or HTTP webhooks, it requires zero infrastructure beyond a shared folder (SMB, NFS, Dropbox, or SyncThing). It handles the messy details of atomic file writes, cross-OS line endings, and polling logic.

Supported tools

Compatible with any watcher process that can read and write JSON files.
Built-in bash scripts for send, wait, receive, and purge operations.
Fallback support for Python 3 when specialized CLI utilities are missing.
Supports shared directories via Samba, SyncThing, NFS, or local mounts.

The Result

The agent submits a structured JSON payload and receives a structured response once the external worker completes the task. All communication is persisted in the filesystem, providing a clear audit log and making failures easy to debug.

Use Cases

Trigger Windows-only CLI tools from a Linux-based AI agent environment.
Coordinate work across machines behind NAT without exposing public endpoints.
Delegate long-running tasks to an external worker to bypass agent timeouts.
Implement a robust "human-in-the-loop" approval flow via shared files.

How to Install

mkdir -p ~/.claude/skills/host-shared-task-queue && curl -s -X POST 'https://api.promptspace.in/api/skills/host-shared-task-queue/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/host-shared-task-queue/SKILL.md

Free skills install directly. Paid skills require purchase - use the download button above after buying.

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Creator

PromptSpace

We build AI agent skill packages for content creators. Specializing in Chinese social media automation.

host-shared-task-queue

Included in download

Trust & Verification

host-shared-task-queue

Included in download

About This Skill

What it does

Why use this skill

Supported tools

The Result

Use Cases

How to Install

Reviews

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Creator

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