Bash Scripting

Bash Scripting Workflow

Overview

Specialized workflow for creating robust, production-ready bash scripts with defensive programming patterns, comprehensive error handling, and automated testing.

When to Use This Workflow

Use this workflow when:

• Creating automation scripts
• Writing system administration tools
• Building deployment scripts
• Developing backup solutions
• Creating CI/CD scripts

Workflow Phases

Phase 1: Script Design

Skills to Invoke

• bash-pro - Professional scripting
• bash-defensive-patterns - Defensive patterns

Actions

1. Define script purpose
2. Identify inputs/outputs
3. Plan error handling
4. Design logging strategy
5. Document requirements

Copy-Paste Prompts

Use @bash-pro to design production-ready bash script

Phase 2: Script Structure

Skills to Invoke

• bash-pro - Script structure
• bash-defensive-patterns - Safety patterns

Actions

1. Add shebang and strict mode
2. Create usage function
3. Implement argument parsing
4. Set up logging
5. Add cleanup handlers

Copy-Paste Prompts

Use @bash-defensive-patterns to implement strict mode and error handling

Phase 3: Core Implementation

Skills to Invoke

• bash-linux - Linux commands
• linux-shell-scripting - Shell scripting

Actions

1. Implement main functions
2. Add input validation
3. Create helper functions
4. Handle edge cases
5. Add progress indicators

Copy-Paste Prompts

Use @bash-linux to implement system commands

Phase 4: Error Handling

Skills to Invoke

• bash-defensive-patterns - Error handling
• error-handling-patterns - Error patterns

Actions

1. Add trap handlers
2. Implement retry logic
3. Create error messages
4. Set up exit codes
5. Add rollback capability

Copy-Paste Prompts

Use @bash-defensive-patterns to add comprehensive error handling

Phase 5: Logging

Skills to Invoke

• bash-pro - Logging patterns

Actions

1. Create logging function
2. Add log levels
3. Implement timestamps
4. Configure log rotation
5. Add debug mode

Copy-Paste Prompts

Use @bash-pro to implement structured logging

Phase 6: Testing

Skills to Invoke

• bats-testing-patterns - Bats testing
• shellcheck-configuration - ShellCheck

Actions

1. Write Bats tests
2. Run ShellCheck
3. Test edge cases
4. Verify error handling
5. Test with different inputs

Copy-Paste Prompts

Use @bats-testing-patterns to write script tests

Use @shellcheck-configuration to lint bash script

Phase 7: Documentation

Skills to Invoke

• documentation-templates - Documentation

Actions

1. Add script header
2. Document functions
3. Create usage examples
4. List dependencies
5. Add troubleshooting section

Copy-Paste Prompts

Use @documentation-templates to document bash script

Script Template

#!/usr/bin/env bash
set -euo pipefail

readonly SCRIPT_NAME=$(basename "$0")
readonly SCRIPT_DIR=$(cd "$(dirname "$0")" && pwd)

log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*"; }
error() { log "ERROR: $*" >&2; exit 1; }

usage() { cat <<EOF
Usage: $SCRIPT_NAME [OPTIONS]
Options:
    -h, --help      Show help
    -v, --verbose   Verbose output
EOF
}

main() {
    log "Script started"
    # Implementation
    log "Script completed"
}

main "$@"

Quality Gates

• ShellCheck passes
• Bats tests pass
• Error handling works
• Logging functional
• Documentation complete

Related Workflow Bundles

• os-scripting - OS scripting
• linux-troubleshooting - Linux troubleshooting
• cloud-devops - DevOps automation

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Bash Scripting"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags bash-scripting workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.