Prompt Engineering Portfolio

Production-ready prompt systems: saved prompts, parameterized slash commands, and reusable templates. 80% of automation value comes from working artifacts, not abstract patterns.

14+

Slash Commands

Production parameterized prompts

30+

Saved Prompts

Reusable workflow templates

100+

Daily Automations

Automated operations via prompts

2-3 hrs/day

Time Savings

From prompt-driven automation

Parameterized Slash Commands

Production commands with variable parameters. Natural language → structured execution.

/check-email

Business Intelligence

Unified email intelligence with category filters

Parameters:

--family--business--masumi--all

Output:

Emergency/urgent/digest classifications with actionable insights

Frequency: Daily 💡 Zero inbox time, automated priority detection

/status

Project Management

Comprehensive status intelligence using platform-native tools

Parameters:

--project--context

Output:

Git status, active tasks, recent commits, blockers

Frequency: Multiple/day 💡 Instant project state awareness

/site-audit

SEO & Analytics

Unified site audit with multiple analysis types

Parameters:

--links--redirects--seo--indexing--performance--full

Output:

Structured reports with actionable recommendations

Frequency: Weekly 💡 Automated technical SEO monitoring

/create-calendar-event

Productivity

Apple Calendar event creation with structured input

Parameters:

--title--date--time--duration--notes

Output:

Calendar event created, confirmation returned

Frequency: Daily 💡 Natural language → structured calendar entry

/schedule-task

Productivity

Dual-track scheduling (calendar event + reminder)

Parameters:

--task--date--priority--project

Output:

Both calendar and reminder created, synced

Frequency: Daily 💡 Never miss follow-ups, automatic tracking

/email-research

Research

Ad-hoc email intelligence with flag syntax

Parameters:

--topic--timeframe--account

Output:

Relevant emails with context, sender info, timestamps

Frequency: As-needed 💡 Historical email mining without manual search

Production Saved Prompts

Complex multi-step workflows captured as reusable prompt templates.

Morning Intelligence Report

Comprehensive morning briefing from multiple systems

Daily Automation

Components:

▸ Emergency email scan (last 12 hours)
▸ Urgent email classification
▸ Family digest generation
▸ Calendar events (today + week)
▸ Active task reconciliation
▸ Git repository status (all 22 repos)

Output

Single markdown report with prioritized actions

Schedule

Runs automatically at 6 AM

Value: Start every day with complete situational awareness

Knowledge Mill Processing

Extract learnings from expensive LLM conversations

Documentation

Components:

▸ Parse conversation transcripts
▸ Identify architectural decisions
▸ Extract reusable patterns
▸ Generate quick-reference docs
▸ Create searchable artifacts

Output

Compressed knowledge artifacts (10:1 ratio)

Schedule

After significant work sessions

Value: Convert expensive scans to cheap reference material

WordPress Security Audit

Automated malware detection and hardening checks

Security

Components:

▸ File integrity verification
▸ Suspicious pattern detection
▸ Plugin vulnerability scan
▸ User permission audit
▸ Htaccess security review

Output

Security report with remediation steps

Schedule

Weekly scheduled, on-demand for incidents

Value: Catch compromises before client impact

Site Analytics Report

Marketing

Components:

▸ Search performance metrics
▸ Top queries and pages
▸ Indexing status
▸ Traffic trends (sessions, pageviews)
▸ Conversion tracking

Output

Formatted markdown with insights and recommendations

Schedule

Weekly for clients, monthly for personal sites

Value: Data-driven optimization without manual dashboard review

Parameterized Templates

Reusable prompt structures with variable injection for different contexts.

Context Bundle Generator

Create domain-specific context packages for specialists

Variables

{domain}{specialist_type}{task_complexity}{related_files}

Generate context bundle for WordPress work → loads MHF site structure, recent changes, deployment guide

✓ Specialists get exactly the context they need, nothing more

Blog Post Generator

Structure for technical articles with AI assistance

Variables

{topic}{target_audience}{code_examples}{image_prompts}

Topic: 'Multi-agent orchestration' → article structure + image generation prompts

✓ Consistent quality, faster iteration, integrated asset creation

Code Review Protocol

Systematic review checklist with domain rules

Variables

{language}{framework}{security_level}{performance_requirements}

Review React component → checks hooks, accessibility, performance, test coverage

✓ Catch issues before deployment, enforce standards

The Evolution: 5 Scripts → 1 Parameterized Command

Real-world progression from script proliferation to elegant parameterization.

Case Study: Morning Intelligence

From 7 specialized scripts to 1 unified command

❌ BEFORE: Script Proliferation

morning-summary.sh morning-report-universal.sh smart-morning-report.sh reliable-morning-report.sh shortcuts-compatible-morning-report.sh morning-intelligence-cd-cm.py full-morning-sync.sh

Problem: 7 scripts doing variations of the same thing

✅ AFTER: Single Parameterized Command


morning-intelligence-cd-cm.py --mode=[desktop|shortcuts] --output=[markdown|json]

Solution: 1 script with parameters handles all use cases

Impact:

• 86% reduction in script count (7 → 1)
• Single source of truth for morning intelligence
• Easier maintenance and debugging
• Consistent output formats

Case Study: Email Intelligence

From named variations to flag-based consolidation

❌ BEFORE: Script Proliferation

masumi-exhibition-email-search.py masumi-exhibition-email-search-v2.py ada-support-search.py ada-support-contact-finder.py urgent-email-scanner.py

Problem: Each use case = new script file

✅ AFTER: Unified with Flags


/email-research --topic="exhibitions" --timeframe="6mo" --account="masumi"

Solution: Parameters define the query, not the script name

Learning:

When you find yourself adding v2, v3, or descriptive suffixes to scripts, it's time to consolidate with parameters.

Case Study: Task/Reminders Sync

From AppleScript variations to unified CLI approach

❌ BEFORE: Multiple AppleScript Approaches

sync_reminders_simple.py (AppleScript) sync_reminders_to_tasks.py (AppleScript) enhanced-reminders-sync.py (AppleScript) test_reminders_simple.applescript sync-reminders-complete.sh (AppleScript)

Problem: Fragile AppleScript, high maintenance

✅ AFTER: Native CLI Tool


sync-apple-reminders-cli.sh --direction=[both|to-tasks|to-reminders]

Solution: Uses reminders-cli (native macOS), 100 lines vs 500+

Results:

• 80% code reduction (500+ lines → 100 lines)
• Archived 18+ old script variations
• 174 tasks synced successfully (production proven)
• Zero auth complexity (macOS keychain)

The 80/20 Rule of Prompt Engineering

80% of value comes from saved prompts and parameterized commands. These are working artifacts you can execute immediately.

20% of value comes from prompt theory, patterns, and techniques. Important for building new prompts, but the saved versions deliver the results.

Mastery = Your Library of Production Prompts

Want to Learn More?

Read detailed breakdowns of these prompts and how they were built.

Read the Blog Get in Touch