Production-grade Bash scripting with strict error handling, defensive patterns, and safety best practices.
Works with
Covers 10 fundamental patterns including strict mode ( set -Eeuo pipefail ), error trapping, variable quoting, array handling, and safe temporary file management
Includes advanced techniques for argument parsing, structured logging, process orchestration with signals, and idempotent script design
Provides templates for function definitions, file operations, command substitution,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbash-defensive-patternsExecute the skills CLI command in your project's root directory to begin installation:
Fetches bash-defensive-patterns from wshobson/agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate bash-defensive-patterns. Access via /bash-defensive-patterns in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Comprehensive guidance for writing production-ready Bash scripts using defensive programming techniques, error handling, and safety best practices to prevent common pitfalls and ensure reliability.
Enable bash strict mode at the start of every script to catch errors early.
#!/bin/bash
set -Eeuo pipefail # Exit on error, unset variables, pipe failures
Key flags:
set -E: Inherit ERR trap in functionsset -e: Exit on any error (command returns non-zero)set -u: Exit on undefined variable referenceset -o pipefail: Pipe fails if any command fails (not just last)Implement proper cleanup on script exit or error.
#!/bin/bash
set -Eeuo pipefail
trap 'echo "Error on line $LINENO"' ERR
trap 'echo "Cleaning up..."; rm -rf "$TMPDIR"' EXIT
TMPDIR=$(mktemp -d)
# Script code here
Always quote variables to prevent word splitting and globbing issues.
# Wrong - unsafe
cp $source $dest
# Correct - safe
cp "$source" "$dest"
# Required variables - fail with message if unset
: "${REQUIRED_VAR:?REQUIRED_VAR is not set}"
Use arrays safely for complex data handling.
# Safe array iteration
declare -a items=("item 1" "item 2" "item 3")
for item in "${items[@]}"; do
echo "Processing: $item"
done
# Reading output into array safely
mapfile -t lines < <(some_command)
readarray -t numbers < <(seq 1 10)
Use [[ ]] for Bash-specific features, [ ] for POSIX.
# Bash - safer
if [[ -f "$file" && -r "$file" ]]; then
content=$(<"$file")
fi
# POSIX - portable
if [ -f "$file" ] && [ -r "$file" ]; then
content=$(cat "$file")
fi
# Test for existence before operations
if [[ -z "${VAR:-}" ]]; then
echo "VAR is not set or is empty"
fi
#!/bin/bash
set -Eeuo pipefail
# Correctly determine script directory
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd -P)"
SCRIPT_NAME="$(basename -- "${BASH_SOURCE[0]}")"
echo "Script location: $SCRIPT_DIR/$SCRIPT_NAME"
#!/bin/bash
set -Eeuo pipefail
# Prefix for functions: handle_*, process_*, check_*, validate_*
# Include documentation and error handling
validate_file() {
local -r file="$1"
local -r message="${2:-File not found: $file}"
if [[ ! -f "$file" ]]; then
echo "ERROR: $message" >&2
return 1
fi
return 0
}
process_files() {
local -r input_dir="$1"
local -r output_dir="$2"
# Validate inputs
[[ -d "$input_dir" ]] || { echo "ERROR: input_dir not a directory" >&2; return 1; }
# Create output directory if needed
mkdir -p "$output_dir" || { echo "ERROR: Cannot create output_dir" >&2; return 1; }
# Process files safely
while IFS= read -r -d '' file; do
echo "Processing: $file"
# Do work
done < <(find "$input_dir" -maxdepth 1 -type f -print0)
return 0
}
#!/bin/bash
set -Eeuo pipefail
trap 'rm -rf -- "$TMPDIR"' EXIT
# Create temporary directory
TMPDIR=$(mktemp -d) || { echo "ERROR: Failed to create temp directory" >&2; exit 1; }
# Create temporary files in directory
TMPFILE1="$TMPDIR/temp1.txt"
TMPFILE2="$TMPDIR/temp2.txt"
# Use temporary files
touch "$TMPFILE1" "$TMPFILE2"
echo "Temp files created in: $TMPDIR"
#!/bin/bash
set -Eeuo pipefail
# Default values
VERBOSE=false
DRY_RUN=false
OUTPUT_FILE=""
THREADS=4
usage() {
cat <<EOF
Usage: $0 [OPTIONS]
Options:
-v, --verbose Enable verbose output
-d, --dry-run Run without making changes
-o, --output FILE Output file path
-j, --jobs NUM Number of parallel jobs
-h, --help Show this help message
EOF
exit "${1:-0}"
}
# Parse arguments
while [✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.6★★★★★34 reviews- DDhruvi Jain★★★★★Dec 24, 2024
bash-defensive-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- LLi Mehta★★★★★Dec 8, 2024
We added bash-defensive-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- SSofia Thomas★★★★★Dec 8, 2024
I recommend bash-defensive-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- SSophia Robinson★★★★★Nov 27, 2024
bash-defensive-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOshnikdeep★★★★★Nov 15, 2024
I recommend bash-defensive-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLuis Ramirez★★★★★Oct 18, 2024
Registry listing for bash-defensive-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- GGanesh Mohane★★★★★Oct 6, 2024
Useful defaults in bash-defensive-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- LLuis Gonzalez★★★★★Sep 13, 2024
Keeps context tight: bash-defensive-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- SSophia Li★★★★★Sep 9, 2024
We added bash-defensive-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAanya Li★★★★★Sep 1, 2024
bash-defensive-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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