shell-expert
Shell scripting: bash, zsh, POSIX, CLI tools, cross-platform automation. Use when writing shell scripts, pipes, command-line automation, or portable shell code.
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npx skills add https://github.com/laurigates/claude-plugins --skill shell-expertIs this agent skill safe to install?
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The shell-expert skill is an instructional resource for shell scripting and command-line automation. It provides standard, best-practice examples for using common CLI tools and writing robust scripts without introducing any malicious patterns or security risks.
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What does this agent skill do?
Shell Expert
Expert knowledge for shell scripting, command-line tools, and automation with focus on robust, portable, and efficient solutions.
When to Use This Skill
| Use this skill when... | Use justfile-expert instead when... |
|---|---|
| Authoring portable bash, zsh, or POSIX shell scripts | Wrapping commands as named recipes for a project task runner |
| Composing pipelines and one-off automation logic | Standardising entry points across a team or repo |
Hardening scripts with set -euo pipefail, traps, and quoting | Defining cross-platform commands without writing shell glue |
| Use this skill when... | Use jq-json-processing instead when... |
|---|---|
| Glue logic that wires together CLI tools | The work is purely transforming JSON input |
| Writing reusable functions, argument parsing, or signal handling | A single jq expression can replace a chain of shell commands |
Command-Line Tool Mastery
- Expert knowledge of modern CLI tools (jq, yq, fd, rg, etc.)
- JSON/YAML processing and transformation
- File searching and text manipulation
- System automation and orchestration
Shell Scripting Excellence
- POSIX-compliant shell scripting for maximum portability
- Bash-specific features and best practices
- Error handling and defensive programming
- Cross-platform compatibility (Linux, macOS, BSD)
Automation & Integration
- CI/CD pipeline scripting
- System administration automation
- Tool integration and workflow automation
- Performance optimization for shell operations
Key Capabilities
JSON/YAML Processing
- jq: Complex JSON queries, transformations, and filtering
- yq: YAML manipulation, in-place editing, format conversion
- jd: JSON diffing and patching for configuration management
- Data pipeline construction: Chaining tools for complex transformations
File Operations & Search
- fd: Fast, user-friendly file finding with intuitive syntax
- rg (ripgrep): Lightning-fast recursive grep with gitignore support
- lsd: Modern ls replacement with visual enhancements
- find/grep alternatives: When and how to use modern replacements
Shell Script Development
- Error Handling: Proper trap usage, exit codes, error propagation
- Input Validation: Argument parsing, option handling, user input sanitization
- Debugging: Set options (-x, -e, -u, -o pipefail), debug output strategies
- Performance: Process substitution, parallel execution, efficient loops
Cross-Platform Scripting
- Platform Detection: OS-specific behavior handling
- Path Management: Portable path construction and manipulation
- Tool Availability: Checking for and handling missing dependencies
- Compatibility Layers: Writing scripts that work everywhere
Automation Patterns
- Idempotent Operations: Scripts that can run multiple times safely
- Atomic Operations: Ensuring all-or-nothing execution
- Progress Reporting: User-friendly output and status updates
- Logging & Monitoring: Structured logging for automated systems
Essential Commands
jq - JSON Processing
jq . data.json # Pretty-print
jq -r '.key.subkey' data.json # Extract value
jq '.items[] | select(.status == "active")' # Filter
yq - YAML Processing
yq '.services.web.image' docker-compose.yml # Read value
yq -i '.version = "2.1.0"' config.yml # Update in-place
yq -o json config.yml # Convert to JSON
fd - Fast File Finding
fd 'pattern' # Find by pattern
fd -e md # Find by extension
fd -e sh -x shellcheck {} # Find and execute
rg - Recursive Grep
rg 'DATABASE_URL' # Basic search
rg 'TODO' -t python # Search specific file types
rg -C 3 'error' # Search with context
Best Practices
Script Development Workflow
- Requirements Analysis: Understand automation need and target platforms
- Tool Selection: Choose appropriate tools for the task
- Prototype Development: Create initial script with core functionality
- Error Handling: Add robust error handling and edge case management
- Cross-Platform Testing: Verify script works on all target systems
- Performance Optimization: Profile and optimize for efficiency
- Documentation: Add clear usage instructions and inline comments
Critical Guidelines
- Always use shellcheck for linting
- Set strict mode:
set -euo pipefail - Under
pipefail, never pipe into a reader that exits early (grep -q,head): the producer gets SIGPIPE and a pipeline that succeeded reports failure, intermittently. Usegrep -q … <<<"$var"orgrep … >/dev/null(see REFERENCE.md) - Quote all variables:
"${var}" - Use functions for reusable code
- Implement proper cleanup with trap
- Provide helpful error messages
- Include --help and --version options
- Use meaningful variable names
- Comment complex logic
- Test with different shells when targeting POSIX
Common Patterns
Robust Script Template
#!/usr/bin/env bash
set -euo pipefail
IFS=$'\n\t'
trap 'echo "Error on line $LINENO"' ERR
trap cleanup EXIT
cleanup() {
rm -f "$TEMP_FILE" 2>/dev/null || true
}
main() {
parse_args "$@"
validate_environment
execute_task
}
main "$@"
Cross-Platform Detection
detect_os() {
case "$OSTYPE" in
linux*) OS="linux" ;;
darwin*) OS="macos" ;;
msys*) OS="windows" ;;
*) OS="unknown" ;;
esac
}
For detailed command-line tools reference, advanced automation examples, and troubleshooting guidance, see REFERENCE.md.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
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