shark-exec

Run long-running shell commands in background processes with status polling.

12|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/keugenek/shark --skill shark-exec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: shark-exec
Source: https://github.com/keugenek/shark/tree/main/shark-exec
Command: npx skills add https://github.com/keugenek/shark --skill shark-exec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the wasted compute and user wait time caused by AI coding agents blocking on long-running shell commands, ensuring every agent turn completes in under 30 seconds even when background tasks take minutes to finish.

Core Features & Use Cases

  • Non-blocking shell execution: Wraps any slow shell command (CI watches, builds, Docker operations, remote commands) in a background process so the main agent never waits.
  • Cross-runtime compatibility: Works with all major AI agent platforms including Claude Code, Codex, OpenClaw, Cursor, and Windsurf.
  • Automated job management: Handles state tracking, timeout enforcement, result delivery, and resource cleanup automatically, with support for multiple concurrent background jobs.
  • Use Case: For example, when running a 10-minute CI pipeline watch, the agent can start the task in the background, reply to you immediately, and notify you when the build completes without blocking its own workflow.

Quick Start

Use the shark-exec skill to run your long-running shell command in the background so you get an immediate reply and are notified when it completes.

Frequently Asked Questions about shark-exec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run long-running shell commands in the background without blocking my AI agent?

You can prevent AI agents from blocking on slow shell commands by wrapping the execution in background processes with automated status polling. This ensures the agent replies immediately, handles job state persistence, and notifies you when the task completes without stalling the workflow.

Can I monitor CI pipelines and Docker builds asynchronously with AI coding agents?

Yes, you can monitor CI pipelines and execute Docker builds asynchronously. By wrapping these operations in background processes, the agent tracks job state, enforces timeouts, and delivers result notifications when the build finishes without halting the agent's active workflow.

Does non-blocking shell execution work with Claude Code, Cursor, and Windsurf?

Non-blocking shell execution works across all major AI agent runtimes, including Claude Code, Codex, OpenClaw, Cursor, and Windsurf. It ensures cross-runtime compatibility for background execution, job state persistence, and result notification within 30-second agent turn constraints.

What is the best way to manage multiple concurrent background jobs in AI agent workflows?

The best way to manage concurrent background jobs is using automated job management that handles state tracking, timeout enforcement, and resource cleanup. This maintains non-blocking parallel execution and ensures result delivery for long-running remote commands.

Why do my AI agent turns time out when running slow build automation tasks?

AI agent turns time out because they block on slow build automation tasks. You can eliminate this wait time by wrapping commands in background processes with automated status polling, ensuring the agent turn completes in under 30 seconds while the build continues.

Are there limitations when executing non-blocking shell commands for CI monitoring?

Limitations of non-blocking shell execution for CI monitoring involve managing job state persistence, timeout enforcement, and resource cleanup. It handles long-running tasks by polling and delivering results without blocking, but is bound by 30-second agent turn constraints.