Bash Scripting Workflow

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/bash-scripting

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Bash Scripting Workflow

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Script Template, Quality Gates, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Creating automation scripts
• Writing system administration tools
• Building deployment scripts
• Developing backup solutions
• Creating CI/CD scripts
• Use when the request clearly matches the imported source intent: Bash scripting workflow for creating production-ready shell scripts with defensive patterns, error handling, and testing.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. bash-pro - Professional scripting
2. bash-defensive-patterns - Defensive patterns
3. Define script purpose
4. Identify inputs/outputs
5. Plan error handling
6. Design logging strategy
7. Document requirements

Imported Workflow Notes

Imported: 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

Imported: Related Workflow Bundles

• os-scripting

  - OS scripting

• linux-troubleshooting

  - Linux troubleshooting

• cloud-devops

  - DevOps automation

Imported: Overview

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

Imported: 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 "$@"

Examples

Example 1: Ask for the upstream workflow directly

Use @bash-scripting to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @bash-scripting against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @bash-scripting for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @bash-scripting using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/bash-scripting

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @azure-mgmt-apicenter-py

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-apimanagement-dotnet

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-apimanagement-py

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-applicationinsights-dotnet

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Quality Gates

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

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.