Production-ready prompt generation with 69 professional presets, 7-question intelligent flow, and multi-format output (XML/Claude/ChatGPT/Gemini).
Keywords: Prompt Engineering, AI Prompts, ChatGPT Prompts, Claude Prompts, Gemini Prompts, LLM Optimization, Mega-Prompts, System Prompts, Custom Instructions, AI Prompt Templates, Prompt Generation, Professional AI Prompts, Business Prompts, Technical Prompts, Legal Prompts, Healthcare Prompts
Repository: claude-code-skills-factory/prompt-factory
A comprehensive prompt generation system that creates production-ready mega-prompts in under 2 minutes through:
- ✅ 69 professional presets across 15 domains (Technical, Business, Legal, Finance, HR, Design, Customer, Executive, and more)
- ✅ Intelligent 7-question flow with example answers (max 7 questions, no iteration needed)
- ✅ Multiple output formats (XML, Claude, ChatGPT, Gemini, or All)
- ✅ 7-point quality validation before delivery (no placeholders, working examples, token optimized)
- ✅ Contextual best practices from OpenAI, Anthropic, Google
- ✅ Core & Advanced modes (5K or 12K tokens, with testing scenarios)
- ✅ 15,000+ role/industry/task combinations supported
Download: prompt-factory.zip (403KB)
"Use the Senior Full-Stack Engineer preset"
Claude shows customizable template → Select format → Generate
Time: 30 seconds to production-ready prompt
"Create a custom prompt for a Growth Hacker in B2B SaaS"
Answer 5-7 questions → Select format & mode → Get validated prompt
Time: 2 minutes to tailored mega-prompt
- Senior Full-Stack Engineer - React, Node.js, PostgreSQL, AWS
- DevOps Engineer - CI/CD, Kubernetes, Terraform, Cloud platforms
- Mobile Engineer - React Native, Flutter, iOS/Android
- Data Scientist - Python, ML pipelines, statistical analysis
- Security Engineer - AppSec, penetration testing, compliance
- Cloud Architect - AWS/GCP/Azure, serverless, scalability
- Database Engineer - PostgreSQL, MongoDB, optimization
- QA Engineer - Testing strategies, automation, quality gates
- Product Manager - PRDs, roadmaps, stakeholder management
- Product Engineer - Technical product delivery
- Product Owner - Agile, user stories, backlog prioritization
- Project Manager - Planning, execution, risk management
- Operations Manager - Process optimization, efficiency
- Sales & Business Manager - Pipeline, revenue, customer acquisition
- Business Analyst - Requirements, data analysis, insights
- Marketing Manager - Campaigns, analytics, growth strategies
- Legal Counsel - Contract review, legal analysis, risk assessment
- Compliance Officer - Regulatory compliance, policy development
- Contract Manager - Contract lifecycle, negotiation
- Regulatory Affairs Specialist - Regulatory submissions, compliance
- Financial Analyst - Financial modeling, forecasting, analysis
- CFO / Controller - Financial strategy, reporting, controls
- Accountant / Tax Specialist - Accounting, tax planning, compliance
- Investment Analyst - Investment research, portfolio analysis
- HR Manager - Talent management, employee relations, policies
- Talent Acquisition - Recruiting, candidate assessment, hiring
- Learning & Development - Training programs, career development
- Compensation & Benefits - Salary structures, benefits design
- UI/UX Designer - User research, interface design, usability
- Graphic Designer - Visual design, branding, creative assets
- Brand Designer - Brand strategy, visual identity, guidelines
- Product Designer - Product design, prototyping, user testing
- Customer Success Manager - Retention, expansion, adoption
- Support Engineer - Technical support, troubleshooting, documentation
- Account Manager - Relationship management, upselling, renewals
- Customer Experience Manager - CX strategy, journey mapping, satisfaction
- CEO / Founder - Strategic vision, leadership, company building
- CTO / VP Engineering - Technical strategy, team leadership, architecture
- Chief Strategy Officer - Corporate strategy, market analysis, M&A
- General Manager - P&L management, operations, team leadership
- Chief Product Officer - Product strategy, roadmap, innovation
- Chief Marketing Officer - Marketing strategy, brand, demand generation
- Chief Operations Officer - Operational excellence, process optimization
- Machine Learning Engineer - ML pipelines, model training, MLOps
- Blockchain Developer - Smart contracts, Web3, DeFi, crypto
- Game Developer - Game design, engines (Unity/Unreal), gameplay
- Embedded Systems Engineer - Firmware, hardware, IoT, real-time
- Network Engineer - Network design, security, protocols, infrastructure
- Site Reliability Engineer (SRE) - Reliability, monitoring, incident response
- Research Scientist - Scientific research, experimental design, publishing
- Quantitative Analyst (Quant) - Financial modeling, algorithmic trading
- Market Researcher - Market analysis, consumer insights, competitive intelligence
- Copywriter - Marketing copy, content creation, storytelling
- Social Media Manager - Social strategy, content calendar, engagement
- SEO Specialist - Search optimization, keyword research, technical SEO
- Video Producer - Video production, editing, storytelling
- Manufacturing Engineer - Production processes, quality control, efficiency
- Supply Chain Manager - Logistics, inventory, vendor management
- Quality Engineer - Quality systems, inspection, continuous improvement
- Industrial Designer - Product design, ergonomics, manufacturing
- Clinical Specialist (PhD-level) - Clinical research, trials, regulatory
- Senior AI R&D Expert - AI research, cutting-edge ML, innovation
- Quality Management Responsible Person - ISO 13485, MDR, ISO 27001
- Content Strategist - Content strategy, editorial calendar, distribution
- UX Researcher - User research, usability testing, insights
- Technical Writer - Documentation, API reference, user guides
- Sales Engineer - Technical sales, demos, solutions architecture
- Marketing Strategist - Marketing strategy, positioning, campaigns
- AEO Specialist - Answer Engine Optimization for LLMs
<mega_prompt>
<role>Senior Full-Stack Engineer specializing in...</role>
<mission>Build production-ready web applications...</mission>
<context>
<domain>Web Development</domain>
<tech_stack>React, Node.js, PostgreSQL, AWS</tech_stack>
<constraints>Performance, security, scalability</constraints>
</context>
<workflow>
<analysis_phase>Understand requirements...</analysis_phase>
<solution_design>Design architecture...</solution_design>
<execution>Implement with best practices...</execution>
<validation>Test thoroughly...</validation>
</workflow>
<!-- ... complete structured prompt ... -->
</mega_prompt>Best for: All LLMs, maximum compatibility
# System Configuration: Senior Full-Stack Engineer
You are a Senior Full-Stack Engineer specializing in React, Node.js, PostgreSQL, and AWS.
## Your Workflow
1. Analyze requirements and constraints
2. Design system architecture
3. Implement with best practices
4. Test thoroughly and document
## Output Standards
- Code: Production-ready with tests
- Documentation: Comprehensive
- Security: Best practices applied
Execute your role now.Best for: Claude conversations
**What would you like ChatGPT to know about you?**
I need you to act as a Senior Full-Stack Engineer.
My tech stack: React, Node.js, PostgreSQL, AWS
**How would you like ChatGPT to respond?**
WORKFLOW:
1. Analyze requirements
2. Design architecture
3. Implement with tests
4. Document thoroughly
Always provide production-ready code with comprehensive documentation.
Best for: ChatGPT persistent configuration
## Role Configuration
You are: Senior Full-Stack Engineer specializing in modern web applications
## Task Approach
Analyze → Design → Implement → Validate
## Output Format
Production-ready code with tests and documentationBest for: Google Gemini
Input Questions:
- Role: Growth Hacker
- Domain: B2B SaaS
- Goal: Rapid user acquisition and activation
- Output: Strategy documents and experiment plans
- Tech: Product analytics, A/B testing, email automation
- Constraints: Limited budget, early-stage startup
- Style: Data-driven, actionable, experimental
Output (XML format, ~5K tokens):
<mega_prompt>
<role>Growth Hacker specializing in B2B SaaS rapid acquisition and activation</role>
<mission>
Drive explosive user growth through data-driven experimentation, optimized funnels, and viral loops while maintaining product-market fit.
</mission>
<workflow>
<data_analysis>
- Analyze current metrics (CAC, LTV, activation rate, churn)
- Identify bottlenecks in funnel
- Segment users by behavior and value
</data_analysis>
<hypothesis_generation>
- Formulate growth hypotheses based on data
- Prioritize experiments (ICE scoring: Impact, Confidence, Ease)
- Design A/B tests with statistical rigor
</hypothesis_generation>
<execution>
- Implement growth experiments rapidly
- Use automation tools (Zapier, Segment, Mixpanel)
- Leverage viral mechanisms and referral loops
</execution>
<optimization>
- Measure results with statistical significance
- Double down on winners, kill losers fast
- Document learnings and iterate
</optimization>
</workflow>
<!-- Complete prompt continues with best practices, examples, metrics... -->
</mega_prompt>Token Count: ~5,200 tokens Validation: ✅ 7/7 gates passed
Output (Claude format, Advanced mode, ~10K tokens):
# System Configuration: Clinical Psychologist (CBT Specialist)
You are a licensed Clinical Psychologist specializing in Cognitive Behavioral Therapy for depression and anxiety disorders.
## Clinical Expertise
- Evidence-based CBT interventions
- DSM-5-TR diagnostic criteria
- Psychological assessment (PHQ-9, GAD-7, PCL-5)
- Treatment planning and outcome monitoring
## Therapy Workflow
1. **Assessment**: Gather symptoms, history, functional impact
2. **Formulation**: Identify thought patterns, triggers, maintaining factors
3. **Intervention**: CBT techniques (thought records, behavioral activation, exposure)
4. **Monitoring**: Track progress, adjust interventions, prevent relapse
## Critical Rules
- Evidence-based interventions only (Beck, Burns, Linehan)
- Screen for crisis (suicide risk, harm to self/others)
- Maintain professional boundaries (educational, not therapy)
- Escalate to emergency services if needed
- Document scope limitations clearly
## Examples
[3 detailed examples of CBT interventions...]
## Testing Scenarios
[5 test cases: simple depression, complex anxiety, crisis situation, etc...]
## Prompt Variations
[Concise, Balanced, Comprehensive versions...]
## Optimization Tips
[Token optimization, clarity improvements, effectiveness enhancements...]Token Count: ~10,500 tokens (Advanced mode) Includes: Testing scenarios, variations, optimization tips
Before delivery, every prompt passes:
- ✅ XML Structure - All tags properly opened/closed (if XML format)
- ✅ Completeness - All questionnaire responses incorporated
- ✅ Token Count - Optimized (3-6K for Core, 8-12K for Advanced)
- ✅ No Placeholders - All
[...]filled with actual content - ✅ Actionable Workflow - Clear, executable steps
- ✅ Best Practices - Contextually relevant practices from OpenAI/Anthropic/Google
- ✅ Examples Present - At least 2 examples demonstrating expected behavior
Token Count Reported: "Generated prompt: 5,200 tokens (Core mode - optimal range ✅)"
- Manual prompt writing: 2-4 hours of iteration
- With Prompt Factory: 2 minutes to production-ready
- Savings: 98% time reduction
- Manual prompts: Often miss edge cases, inconsistent structure
- Factory prompts: 7-point validated, complete, optimized
- Result: Higher quality, more consistent outputs
- Manual: Rewrite for each LLM
- Factory: Generate all formats at once
- Benefit: Use same prompt across Claude, ChatGPT, Gemini
Generate prompts for:
- Senior engineers (frontend, backend, full-stack, mobile)
- DevOps automation (CI/CD, infrastructure, monitoring)
- Security engineers (AppSec, compliance, penetration testing)
- QA engineers (test strategies, automation, quality gates)
Result: Consistent code quality across team
Generate prompts for:
- Product managers (PRDs, roadmaps, prioritization)
- Project managers (planning, execution, stakeholder management)
- Business analysts (requirements, data analysis, insights)
- Marketing managers (campaigns, analytics, growth)
Result: Aligned product development and go-to-market
Generate prompts for:
- Legal counsel (contract analysis, compliance, risk assessment)
- Financial analysts (modeling, forecasting, valuation)
- HR managers (talent management, policies, employee relations)
- Designers (UI/UX, branding, visual identity)
Result: Domain-specific expertise on-demand
Challenge: Need consistent AI assistance for 15-person engineering team
Solution:
Generate prompts for entire team:
- Frontend engineers: "Senior Frontend Engineer" preset
- Backend engineers: "Senior Backend Engineer" preset
- DevOps: "DevOps Engineer" preset
- QA: "QA Engineer" preset
- Architects: "Cloud Architect" preset
Format: All formats (team uses Claude, ChatGPT, Gemini)
Mode: Advanced (with testing scenarios)
Result:
- 5 production-ready prompts
- Each ~10K tokens (Advanced mode)
- All formats (XML, Claude, ChatGPT, Gemini)
- Team-wide consistency
- Quality validated
Time: 10 minutes total (vs 2 hours+ manual)
Challenge: Generate custom prompts for each client industry
Solution:
Use custom path for specialized prompts:
Client 1 (FinTech):
- Role: "FinTech Content Strategist"
- Domain: "Financial technology and payments"
- Output: SEO-optimized blog content
- Constraints: Regulatory compliance (SEC, FinCEN)
Client 2 (Healthcare):
- Role: "Healthcare Marketing Strategist"
- Domain: "Medical devices and telehealth"
- Output: Patient education content
- Constraints: HIPAA compliance, health literacy (8th grade)
Client 3 (E-commerce):
- Role: "E-commerce Conversion Optimizer"
- Domain: "Direct-to-consumer retail"
- Output: Product descriptions and email campaigns
- Constraints: Platform-specific best practices
Each prompt: Custom, validated, industry-specific
Time per prompt: 2 minutes
| Aspect | Manual Prompt Writing | Prompt Factory |
|---|---|---|
| Time | 2-4 hours (with iteration) | 2 minutes |
| Quality | Variable, may miss edge cases | 7-point validated |
| Formats | One format (rewrite for others) | 4 formats at once |
| Best Practices | Manual research needed | Auto-applied (OpenAI/Anthropic/Google) |
| Testing | Manual test case creation | Built-in (Advanced mode) |
| Optimization | Manual token counting | Automatic optimization |
| Consistency | Varies by creator | Standardized, repeatable |
| Examples | Often skipped | Always included (2+) |
- Complete mega-prompt
- Usage instructions
- 2-3 working examples
- Best practices applied
Best for: Most use cases, quick turnaround
Includes everything in Core PLUS:
- 5 testing scenarios (simple, edge, complex, error, performance cases)
- 3 prompt variations (Concise ~3K, Balanced ~5K, Comprehensive ~8K)
- Optimization tips (token reduction, clarity improvements)
- Iteration guidelines (how to refine the prompt)
Best for: Mission-critical applications, team deployment, quality assurance
Prompt Engineering: How to write AI prompts, ChatGPT custom instructions, Claude system prompts, Gemini configuration, LLM prompt optimization, mega-prompts, system prompts, AI prompt templates
Business Prompts: Product Manager prompts, CEO prompts, CFO prompts, Marketing Manager prompts, Sales prompts, Operations prompts, HR prompts
Technical Prompts: Software engineer prompts, DevOps prompts, Cloud architect prompts, Data scientist prompts, Security engineer prompts, Full-stack developer prompts
Professional Roles: Executive prompts, C-level AI assistants, Senior engineer prompts, Specialist prompts, Manager prompts, Analyst prompts
LLM Specific: Claude AI prompts, ChatGPT prompts, Gemini prompts, Claude custom instructions, ChatGPT system prompts, Multi-LLM prompts
Legal & Compliance: Legal AI prompts, Compliance officer prompts, Contract analysis prompts, Regulatory affairs prompts, GDPR prompts, HIPAA prompts
Healthcare: Clinical psychologist prompts, Therapist prompts, Medical AI prompts, Healthcare prompts, Mental health prompts, Patient care prompts
Prompt Formats: XML prompts, Structured prompts, System configuration, Custom instructions, Mega-prompts, Production prompts
- Use clear, specific instructions
- Provide examples for complex patterns
- Request step-by-step reasoning
- Structure output format explicitly
- Handle edge cases proactively
- Use XML tags for structure
- Implement chain-of-thought prompting
- Leverage extended context windows
- Optimize for prompt caching
- Design for tool use and function calling
- Break complex tasks into subtasks
- Provide concrete examples
- Specify output format clearly
- Use progressive disclosure
- Optimize for model strengths
Factory applies these contextually based on role, domain, and output type.
Claude Code:
cp -r prompt-factory ~/.claude/skills/Claude Desktop:
- Import
prompt-factory.zip(403KB) - Skill loads automatically
Interactive (Fastest for presets):
"Use the Senior Full-Stack Engineer preset"
Custom (For unique needs):
"Create a custom prompt for [your specific role/need]"
Answer 5-7 questions → Select format & mode → Get validated prompt
"I need a prompt for a Product Manager in FinTech"
"Create a prompt for a Healthcare Data Scientist"
"Generate a Growth Hacker prompt for B2B SaaS"
"Make a prompt for Senior Backend Engineer in microservices"
"Build a prompt for Legal Counsel specializing in M&A"
Generated Prompts Achieve:
- ✅ 7/7 quality gates passed
- ✅ Token optimized (3-6K Core, 8-12K Advanced)
- ✅ Zero placeholders
- ✅ Working examples included
- ✅ Best practices applied
- ✅ Multi-format ready
User Experience:
- Max 7 questions (vs 14-16 in other tools)
- < 2 minutes to generate
- 69 one-click presets
- 4 output formats
- 2 generation modes
Coverage:
- 15,000+ role/industry/task combinations
- 15 professional domains
- Support for all major LLMs
Complete guides included:
- HOW_TO_USE.md - Comprehensive user guide with examples
- SKILL.md - Complete skill definition (400KB+)
- README.md - Feature overview
- References - OpenAI/Anthropic/Google best practices
- Templates - 69 preset templates
- Examples - 20 complete generated prompt examples
Repository: claude-code-skills-factory
Download: prompt-factory.zip (403KB)
Related:
- Health SDK Builder - Healthcare AI applications
- Claude Code Tresor - Development utilities
- Claude Skills Library - Domain-specific skills
Create world-class AI prompts in 2 minutes instead of 2 hours 🚀
Last Updated: October 28, 2025 Version: 1.0.0 License: MIT