slow-command-running

Pipe long-running command output through tee to a local log file.

15|2|Updated Aug 16, 2025
One-click install
npx skills add https://github.com/aspiers/ai-config --skill slow-command-running
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: slow-command-running
Source: https://github.com/aspiers/ai-config/tree/main/.claude/skills/slow-command-running
Command: npx skills add https://github.com/aspiers/ai-config --skill slow-command-running

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Long-running commands are difficult to monitor and review across multiple analyses.

Core Features & Use Cases

  • Live output display with real-time logging via tee.
  • Reuse and review command outputs without re-running.

Quick Start

Run your long-running command and pipe its output through tee into tmp/output.log for live display and later review.

Frequently Asked Questions about slow-command-running

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

FAQPage Schema
How do I log shell output to a file while viewing it in real-time?

To log shell output to a file while viewing it in real-time, pipe your command through tee into a local tmp/output.log file. This captures the output simultaneously for live monitoring and later review.

What is the best way to save long-running command output for multiple analyses?

The best way to save long-running command output for multiple analyses is piping the execution through tee into a local log file. This stores the results in tmp/ so you can review them without re-running expensive commands.

Can I monitor slow network or API calls without losing terminal output?

You can monitor slow network or API calls without losing terminal output by using tee. The command pipes output to a local log file within a tmp/ directory while still displaying the real-time stream in your shell.

How does tee work with long-running CLI commands?

Tee works with long-running CLI commands by splitting the standard output stream. It displays the live data in your terminal while simultaneously writing a copy to a specified local log file for later review.

Why should I save command output to a tmp directory?

You should save command output to a tmp directory to easily manage logs generated by tee during long-running shell executions. This isolates transient monitoring data, keeping your workspace clean for later review.

Are there limitations to using tee for real-time logging of expensive commands?

A limitation of using tee for real-time logging is that it only captures standard output streams to a local log file. It does not inherently handle complex execution states or process management for extremely slow network or API calls.