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SKILL.md

name windsurf-terminal-ai
description Leverage AI-assisted terminal commands and debugging. Activate when users mention "terminal help", "command suggestion", "debug terminal", "shell assistance", or "cli help". Handles AI-enhanced terminal operations.
allowed-tools Read,Bash,Grep
version 1.0.0
license MIT
author Jeremy Longshore <jeremy@intentsolutions.io>

Windsurf Terminal AI

Leverage AI-assisted terminal commands for efficient debugging and operations.

Directory Structure

project-root/
    .windsurf/
        terminal/
            command-history.json     # AI-analyzed command history
                # Successful patterns
                # Error contexts
                # Suggested alternatives

            aliases.json             # AI-suggested aliases
                # Frequent command shortcuts
                # Project-specific commands
                # Workflow automation

            snippets/
                debug-commands.sh    # Common debug commands
                    # Log inspection commands
                    # Process monitoring
                    # Network diagnostics

                build-commands.sh    # Build workflow commands
                    # Clean build sequences
                    # Incremental builds
                    # Artifact management

    .bashrc / .zshrc                 # Shell configuration
        # Windsurf terminal integration
        # AI completion setup
        # Custom prompt configuration

    scripts/
        common-tasks.sh              # Reusable task scripts
            # Parameterized commands
            # Error handling
            # Logging integration

AI Terminal Features

Command Suggestions

  • Context-aware completions
  • Error correction proposals
  • Alternative command options
  • Parameter hints

Debugging Assistance

  • Error message interpretation
  • Log analysis suggestions
  • Stack trace navigation
  • Environment diagnostics

Configuration Steps

  1. Enable AI Assistance

    • Configure terminal integration
    • Set up completion triggers
    • Enable error analysis
  2. Build Command Library

    • Document common commands
    • Create reusable scripts
    • Set up aliases
  3. Optimize Workflows

    • Identify repetitive patterns
    • Automate common sequences
    • Set up command templates

Success Criteria

  • 80% reduction in command errors
  • Context-aware completions
  • 45% reduction in debugging time