Awesome-omni-skills bash-linux

Bash Linux Patterns workflow skill. Use this skill when the user needs Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bash-linux" ~/.claude/skills/diegosouzapw-awesome-omni-skills-bash-linux && rm -rf "$T"
manifest: skills/bash-linux/SKILL.md
source content

Bash Linux Patterns

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/bash-linux
from
https://github.com/sickn33/antigravity-awesome-skills
into the native Omni Skills editorial shape without hiding its origin.

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
plus
ORIGIN.md
as the provenance anchor for review.

Bash Linux Patterns > Essential patterns for Bash on Linux/macOS. ---

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: 1. Operator Syntax, 2. File Operations, 5. Environment Variables, 6. Network, 7. Script Template, 8. Common Patterns.

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.

  • This skill is applicable to execute the workflow or actions described in the overview.
  • Use when the request clearly matches the imported source intent: Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
  • Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
  • Use when provenance needs to stay visible in the answer, PR, or review packet.
  • Use when copied upstream references, examples, or scripts materially improve the answer.
  • Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

SituationStart hereWhy it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts

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. Task - Command
  2. List processes - ps aux
  3. Find by name - ps aux \ - grep node
  4. Kill by PID - kill -9 <PID>
  5. Find port user - lsof -i :3000
  6. Kill port - kill -9 $(lsof -t -i :3000)
  7. Background - npm run dev &

Imported Workflow Notes

Imported: 3. Process Management

TaskCommand
List processes
ps aux
Find by name
ps aux | grep node
Kill by PID
kill -9 <PID>
Find port user
lsof -i :3000
Kill port
kill -9 $(lsof -t -i :3000)
Background
npm run dev &
Jobs
jobs -l
Bring to front
fg %1

Imported: 4. Text Processing

Core Tools

ToolPurposeExample
grep
Search
grep -rn "TODO" src/
sed
Replace
sed -i 's/old/new/g' file.txt
awk
Extract columns
awk '{print $1}' file.txt
cut
Cut fields
cut -d',' -f1 data.csv
sort
Sort lines
sort -u file.txt
uniq
Unique lines
sort file.txt | uniq -c
wc
Count
wc -l file.txt

Imported: 1. Operator Syntax

Chaining Commands

OperatorMeaningExample
;
Run sequentially
cmd1; cmd2
&&
Run if previous succeeded
npm install && npm run dev
||
Run if previous failed
npm test || echo "Tests failed"
|
Pipe output
ls | grep ".js"

Examples

Example 1: Ask for the upstream workflow directly

Use @bash-linux 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-linux 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-linux 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-linux 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-linux
, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open
metadata.json
,
ORIGIN.md
, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md
, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

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.

Resource familyWhat it gives the reviewerExample path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
assets/n/a

Imported Reference Notes

Imported: 2. File Operations

Essential Commands

TaskCommand
List all
ls -la
Find files
find . -name "*.js" -type f
File content
cat file.txt
First N lines
head -n 20 file.txt
Last N lines
tail -n 20 file.txt
Follow log
tail -f log.txt
Search in files
grep -r "pattern" --include="*.js"
File size
du -sh *
Disk usage
df -h

Imported: 5. Environment Variables

TaskCommand
View all
env
or
printenv
View one
echo $PATH
Set temporary
export VAR="value"
Set in script
VAR="value" command
Add to PATH
export PATH="$PATH:/new/path"

Imported: 6. Network

TaskCommand
Download
curl -O https://example.com/file
API request
curl -X GET https://api.example.com
POST JSON
curl -X POST -H "Content-Type: application/json" -d '{"key":"value"}' URL
Check port
nc -zv localhost 3000
Network info
ifconfig
or
ip addr

Imported: 7. Script Template

#!/bin/bash
set -euo pipefail  # Exit on error, undefined var, pipe fail

# Colors (optional)
RED='\033[0;31m'
GREEN='\033[0;32m'
NC='\033[0m'

# Script directory
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"

# Functions
log_info() { echo -e "${GREEN}[INFO]${NC} $1"; }
log_error() { echo -e "${RED}[ERROR]${NC} $1" >&2; }

# Main
main() {
    log_info "Starting..."
    # Your logic here
    log_info "Done!"
}

main "$@"

Imported: 8. Common Patterns

Check if command exists

if command -v node &> /dev/null; then
    echo "Node is installed"
fi

Default variable value

NAME=${1:-"default_value"}

Read file line by line

while IFS= read -r line; do
    echo "$line"
done < file.txt

Loop over files

for file in *.js; do
    echo "Processing $file"
done

Imported: 9. Differences from PowerShell

TaskPowerShellBash
List files
Get-ChildItem
ls -la
Find files
Get-ChildItem -Recurse
find . -type f
Environment
$env:VAR
$VAR
String concat
"$a$b"
"$a$b"
(same)
Null check
if ($x)
if [ -n "$x" ]
PipelineObject-basedText-based

Imported: 10. Error Handling

Set options

set -e          # Exit on error
set -u          # Exit on undefined variable
set -o pipefail # Exit on pipe failure
set -x          # Debug: print commands

Trap for cleanup

cleanup() {
    echo "Cleaning up..."
    rm -f /tmp/tempfile
}
trap cleanup EXIT

Remember: Bash is text-based. Use

&&
for success chains,
set -e
for safety, and quote your variables!

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.