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claude-skills/engineering-team/START_HERE.md
Claude 5acece10ac
feat(skills): PR-2 — final REWRITE-verdict skills + dead-link/zip cleanup 
- senior-prompt-engineer: rebuilt on the new-gen pattern; 2023-era cheatsheet
  dropped; scripts made model-agnostic and rot-proof (user-supplied pricing,
  no hardcoded model/cost tables); 5 workflows with executable exit-code
  gates; zero stale model names remain
- senior-security: 445 -> 64 lines; owns only its unique STRIDE/DREAD value
  with exact CLIs; 10-row lane table routes everything the v2.2 security
  suite covers (all paths verified)
- engineering-team docs: all dead computer:/// links repointed to live
  skills/ folders; all 14 stale .zip archives deleted (0 references remain;
  folders are the canonical distribution)
- universal-scraping-architect: placeholder cs-scraping-architect agent and
  cs-scrape command rewritten with verified CLIs, refusal gates, and the
  empirically-confirmed validate_extraction.py exit-code contract

Gates at HEAD: check_paths 0 findings; check_dual_publish 0 drifted;
smoke 582/582; counters match; 78 manifests OK; compileall clean.

https://claude.ai/code/session_019AJddAL1NADWMXsy1qNPQF
2026-06-11 15:28:22 +00:00

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# 🎯 **START HERE: World-Class Team Skills**
## 📦 **What You're Getting**
**32 production-ready skills** for building exceptional engineering and AI/ML/Data teams (this quick-start tour covers the original 14 role skills; see README.md for the full current list).
All skills follow your exact template structure with:
- ✅ **SKILL.md** - Complete documentation with quick start
- ✅ **3 Reference Guides** - Advanced patterns and best practices
- ✅ **3 Automation Scripts** - Production-grade Python tools
- ✅ **7 files per skill** - Comprehensive and ready to use
---
## 📚 **Your Documents**
### **1. [TEAM_STRUCTURE_GUIDE.md](TEAM_STRUCTURE_GUIDE.md)** ⭐ **START HERE**
**THE MASTER GUIDE** - Complete team structure recommendations:
- Team compositions for startups, scale-ups, and enterprises
- When to use each skill
- Workflow examples
- Hiring and team building
- Performance benchmarks
- Tech stack coverage
### **2. [README.md](README.md)**
Original engineering skills guide covering the 9 engineering roles in detail.
---
## 🎯 **Quick Role Finder**
### **Need to...**
**Design a system?** → [skills/senior-architect/](skills/senior-architect/)
**Build frontend?** → [skills/senior-frontend/](skills/senior-frontend/)
**Build backend?** → [skills/senior-backend/](skills/senior-backend/)
**Build full-stack?** → [skills/senior-fullstack/](skills/senior-fullstack/)
**Setup testing?** → [skills/senior-qa/](skills/senior-qa/)
**Setup DevOps?** → [skills/senior-devops/](skills/senior-devops/)
**Setup security?** → [skills/senior-secops/](skills/senior-secops/) or [skills/senior-security/](skills/senior-security/)
**Review code?** → [skills/code-reviewer/](skills/code-reviewer/)
**Analyze data?** → [skills/senior-data-scientist/](skills/senior-data-scientist/)
**Build data pipelines?** → [skills/senior-data-engineer/](skills/senior-data-engineer/)
**Deploy ML models?** → [skills/senior-ml-engineer/](skills/senior-ml-engineer/)
**Optimize LLMs?** → [skills/senior-prompt-engineer/](skills/senior-prompt-engineer/)
**Build vision AI?** → [skills/senior-computer-vision/](skills/senior-computer-vision/)
---
## 🏗️ **Team Size Guide**
### **Startup (5-10 people)**
Use these 5 skills:
1. [skills/senior-fullstack/](skills/senior-fullstack/) (×2)
2. [skills/senior-data-scientist/](skills/senior-data-scientist/) (×1)
3. [skills/senior-devops/](skills/senior-devops/) (×1)
4. [skills/senior-ml-engineer/](skills/senior-ml-engineer/) (×1)
### **Scale-Up (10-25 people)**
Use these 9 skills:
1. [skills/senior-architect/](skills/senior-architect/) (×1)
2. [skills/senior-frontend/](skills/senior-frontend/) (×2)
3. [skills/senior-backend/](skills/senior-backend/) (×3)
4. [skills/senior-data-engineer/](skills/senior-data-engineer/) (×2)
5. [skills/senior-data-scientist/](skills/senior-data-scientist/) (×2)
6. [skills/senior-ml-engineer/](skills/senior-ml-engineer/) (×2)
7. [skills/senior-qa/](skills/senior-qa/) (×1)
8. [skills/senior-devops/](skills/senior-devops/) (×1)
9. [skills/senior-secops/](skills/senior-secops/) (×1)
### **Enterprise (25-50+ people)**
Use all 14 role skills - you'll need the full suite!
---
## 📥 **All Skills at a Glance**
### **Engineering Team (9 Skills)**
| # | Skill | Download | What It Does |
|---|-------|----------|--------------|
| 1 | **Senior Architect** | [skills/senior-architect/](skills/senior-architect/) | System design, architecture decisions, diagrams |
| 2 | **Senior Frontend** | [skills/senior-frontend/](skills/senior-frontend/) | React, Next.js, UI/UX, performance |
| 3 | **Senior Backend** | [skills/senior-backend/](skills/senior-backend/) | APIs, databases, business logic |
| 4 | **Senior Fullstack** | [skills/senior-fullstack/](skills/senior-fullstack/) | End-to-end development |
| 5 | **Senior QA** | [skills/senior-qa/](skills/senior-qa/) | Testing, automation, quality |
| 6 | **Senior DevOps** | [skills/senior-devops/](skills/senior-devops/) | CI/CD, infrastructure, deployment |
| 7 | **Senior SecOps** | [skills/senior-secops/](skills/senior-secops/) | Security operations, compliance |
| 8 | **Code Reviewer** | [skills/code-reviewer/](skills/code-reviewer/) | Code quality, standards, reviews |
| 9 | **Senior Security** | [skills/senior-security/](skills/senior-security/) | Security architecture, pentesting |
### **AI/ML/Data Team (5 Skills)**
| # | Skill | Download | What It Does |
|---|-------|----------|--------------|
| 10 | **Senior Data Scientist** | [skills/senior-data-scientist/](skills/senior-data-scientist/) | Statistical modeling, experimentation, analytics |
| 11 | **Senior Data Engineer** | [skills/senior-data-engineer/](skills/senior-data-engineer/) | Data pipelines, ETL, infrastructure |
| 12 | **Senior ML Engineer** | [skills/senior-ml-engineer/](skills/senior-ml-engineer/) | MLOps, model deployment, LLMs |
| 13 | **Senior Prompt Engineer** | [skills/senior-prompt-engineer/](skills/senior-prompt-engineer/) | LLM optimization, RAG, agents |
| 14 | **Senior Computer Vision** | [skills/senior-computer-vision/](skills/senior-computer-vision/) | Image/video AI, object detection |
---
## 🚀 **Quick Start (3 Steps)**
### **Step 1: Choose Your Path**
Pick one based on your immediate need:
- **Building a team?** → Read [TEAM_STRUCTURE_GUIDE.md](TEAM_STRUCTURE_GUIDE.md)
- **Starting a project?** → Download [skills/senior-architect/](skills/senior-architect/) + [skills/senior-fullstack/](skills/senior-fullstack/)
- **Building AI features?** → Download [skills/senior-ml-engineer/](skills/senior-ml-engineer/) + [skills/senior-prompt-engineer/](skills/senior-prompt-engineer/)
- **Data infrastructure?** → Download [skills/senior-data-engineer/](skills/senior-data-engineer/)
### **Step 2: Extract & Explore**
```bash
# Open the skill folder
cd skills/senior-ml-engineer
# Read the main guide
cat SKILL.md
# Check what's included
tree .
```
### **Step 3: Use the Tools**
```bash
# Try a script
python scripts/model_deployment_pipeline.py --help
# Read a reference
cat references/mlops_production_patterns.md
# Customize for your needs
vim SKILL.md
```
---
## 💡 **Pro Tips**
### **For CTO/Engineering Leaders**
1. **Start with TEAM_STRUCTURE_GUIDE.md** - Understand team compositions
2. **Download skills matching your team size**
3. **Use for hiring** - Job descriptions, interview questions
4. **Use for onboarding** - Training material for new hires
5. **Customize** - Add your company's patterns and practices
### **For Individual Engineers**
1. **Download your role's skill**
2. **Study the reference guides** - Learn advanced patterns
3. **Use the scripts** - Automate your workflows
4. **Contribute back** - Add your learnings
5. **Share with team** - Knowledge sharing
### **For Data/ML Teams**
1. **Download all 5 AI/ML/Data skills**
2. **Focus on MLOps patterns** - Production-grade ML
3. **Implement DataOps** - Quality data pipelines
4. **Optimize LLMs** - Cost-effective AI
5. **Monitor everything** - Model drift, data quality
---
## 🎯 **What Makes These Skills World-Class?**
### **✅ Production-Grade**
- Scalable architectures
- Performance optimized
- Security built-in
- Monitoring integrated
### **✅ Senior-Level**
- Advanced patterns
- Strategic thinking
- Leadership aspects
- Mentorship guidance
### **✅ Comprehensive**
- 7 files per skill
- Code + documentation
- Examples + templates
- Best practices
### **✅ Practical**
- Automation scripts
- Real workflows
- Production patterns
- Battle-tested
### **✅ Modern Stack**
- Your tech stack (React, Next.js, Node.js, Python, Go)
- Latest frameworks (PyTorch, LangChain, Spark)
- Cloud platforms (AWS, GCP, Azure)
- Modern tools (Docker, Kubernetes, Terraform)
---
## 📖 **Additional Resources**
### **Tech Stack Covered**
**Frontend:** React, Next.js, TypeScript, Tailwind, React Native, Flutter, Swift, Kotlin
**Backend:** Node.js, Express, GraphQL, Go, Python, FastAPI
**Data:** PostgreSQL, Spark, Airflow, dbt, Kafka, Databricks, Snowflake
**ML/AI:** PyTorch, TensorFlow, LangChain, LlamaIndex, OpenCV, Transformers
**Infrastructure:** Docker, Kubernetes, Terraform, AWS, GCP, Azure
**Tools:** Git, Jira, Confluence, Figma, MLflow, W&B
---
## 🎓 **Learning Path**
### **Level 1: Foundation (Weeks 1-2)**
- Read TEAM_STRUCTURE_GUIDE.md
- Download 3-5 core skills
- Explore SKILL.md files
- Try example scripts
### **Level 2: Implementation (Weeks 3-6)**
- Deep dive into reference guides
- Customize scripts for your needs
- Implement one pattern per week
- Share learnings with team
### **Level 3: Mastery (Months 2-6)**
- Master all patterns
- Contribute improvements
- Mentor others
- Establish team standards
### **Level 4: Innovation (Ongoing)**
- Research new approaches
- Experiment with cutting edge
- Publish findings
- Drive industry forward
---
## 🔥 **Common Use Cases**
### **Use Case 1: Starting a Startup**
**Downloads:** skills/senior-fullstack/, skills/senior-ml-engineer/, skills/senior-devops/
**Focus:** MVP development, rapid iteration, lean team
### **Use Case 2: Building AI Product**
**Downloads:** skills/senior-prompt-engineer/, skills/senior-ml-engineer/, skills/senior-data-engineer/
**Focus:** LLM integration, RAG systems, data pipelines
### **Use Case 3: Scaling Engineering Team**
**Downloads:** skills/senior-architect/, skills/code-reviewer/, all engineering skills
**Focus:** Architecture, standards, processes, quality
### **Use Case 4: Data Science Team**
**Downloads:** All 5 AI/ML/Data skills
**Focus:** Analytics, ML, data infrastructure
### **Use Case 5: Computer Vision Product**
**Downloads:** skills/senior-computer-vision/, skills/senior-ml-engineer/, skills/senior-devops/
**Focus:** Vision models, real-time inference, deployment
---
## ✨ **Key Differentiators**
What makes these skills special:
1. **Your Exact Template** - Follows your fullstack-engineer example perfectly
2. **World-Class Quality** - Production-grade, senior-level content
3. **Complete Coverage** - 14 roles, all bases covered
4. **Actionable Tools** - 42 production scripts (3 per skill)
5. **Deep References** - 42 comprehensive guides (3 per skill)
6. **Modern Stack** - Your tech stack throughout
7. **Team-Focused** - Built for collaboration
8. **Battle-Tested** - Industry best practices
9. **Customizable** - Starting point, not endpoint
10. **Growth-Oriented** - Scales from startup to enterprise
---
## 🎯 **Next Actions**
### **Right Now (5 minutes)**
1. ✅ Read [TEAM_STRUCTURE_GUIDE.md](TEAM_STRUCTURE_GUIDE.md)
2. ✅ Identify your team size
3. ✅ Note which skills you need
### **Today (30 minutes)**
1. ✅ Download 2-3 core skills
2. ✅ Extract and explore SKILL.md
3. ✅ Try one script with `--help`
### **This Week (2-3 hours)**
1. ✅ Read all reference guides for your role
2. ✅ Run scripts on sample projects
3. ✅ Customize one script for your workflow
### **This Month (10+ hours)**
1. ✅ Implement 3-5 patterns from references
2. ✅ Share skills with team
3. ✅ Establish team standards based on skills
4. ✅ Track improvements in velocity and quality
---
## 🙌 **You're All Set!**
You now have everything needed to build and scale world-class engineering and AI/ML/Data teams:
✅ **14 comprehensive skills**
✅ **42 production scripts**
✅ **42 reference guides**
✅ **Team structure recommendations**
✅ **Workflow examples**
✅ **Best practices**
✅ **Performance benchmarks**
**Time to build something amazing! 🚀**
---
**Questions?**
- Check TEAM_STRUCTURE_GUIDE.md for team compositions
- Check individual SKILL.md files for tool details
- Check reference/*.md files for deep dives
- Customize and iterate based on your needs
**Remember:** These skills are starting points. Make them your own, add your learnings, and build the future! 🎯
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