emerging-tech
Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel).
When & Why to Use This Skill
This Claude skill serves as a comprehensive career accelerator and technical roadmap for mastering 2025's most in-demand technologies and leadership roles. It provides structured learning paths for AI Agents, Prompt Engineering, and Red Teaming, while offering strategic frameworks for transitioning into Product Management, Engineering Management, and DevRel. By bridging the gap between technical execution and strategic leadership, it helps professionals navigate complex career pivots and stay ahead in the rapidly evolving AI landscape.
Use Cases
- Career Transition Mapping: Providing detailed 3-6 month roadmaps for senior engineers looking to move into Product Management or Engineering Management roles.
- AI Agent Architecture Design: Guiding developers through the implementation of 'Perceive-Reason-Act' loops and advanced design patterns like Orchestrator-Workers or Evaluator-Optimizer.
- Security & Red Teaming: Establishing protocols for testing LLM vulnerabilities, including jailbreaking, prompt injection, and bias testing to ensure robust AI safety.
- Advanced Prompt Engineering: Mastering complex techniques such as Chain-of-Thought (CoT), few-shot learning, and structured output validation for production-grade AI applications.
- Leadership Skill Development: Offering actionable frameworks for hiring, delegation, and stakeholder communication for new engineering managers and developer advocates.
| # SKILL | Emerging Technologies |
|---|---|
| # Version | 2.0.0 | Updated: 2025-01 |
| name | emerging-tech |
| description | Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel). |
| type | string |
| enum | [emerging-tech, leadership] |
| required | false |
| max_attempts | 3 |
| backoff | exponential |
| log_level | info |
| level | advanced |
| sasmp_version | "1.3.0" |
| bonded_agent | 01-core-paths |
| bond_type | PRIMARY_BOND |
Emerging Technologies Skill
Quick Reference
| Technology | Timeline | Demand | Entry Point |
|---|---|---|---|
| Prompt Engineering | 2-4 wk | Very High | Any developer |
| AI Agents | 4-6 wk | Very High | Python developer |
| AI Red Teaming | 6-8 wk | High | Security background |
| Product Management | 3-6 mo | High | Any engineer |
| Engineering Management | 3-6 mo | High | Senior engineer |
Emerging Tech Paths
Prompt Engineering
[1] Basic Prompting (3-5 days)
│ └─ Clear instructions, context
│
▼
[2] Few-shot Learning (3-5 days)
│ └─ Examples, patterns
│
▼
[3] Chain-of-Thought (3-5 days)
│ └─ Step-by-step reasoning
│
▼
[4] Structured Output (3-5 days)
│ └─ JSON, schemas, validation
│
▼
[5] Optimization (ongoing)
└─ Evaluation, iteration
Key Techniques:
| Technique | Description | Use When |
|---|---|---|
| Zero-shot | Direct instruction | Simple tasks |
| Few-shot | Examples provided | Pattern matching |
| CoT | Step-by-step | Complex reasoning |
| Role-based | Persona assignment | Expert behavior |
| Structured | Format constraints | Integration |
AI Agents (2025 Hot Skill)
[1] LLM Fundamentals (1 wk)
│ └─ Tokens, embeddings, context
│
▼
[2] Tool Calling (1 wk)
│ └─ Function definitions, execution
│
▼
[3] Agent Architecture (2 wk)
│ └─ Perceive-Reason-Act loop
│
▼
[4] Error Handling (1 wk)
│ └─ Retries, fallbacks, guardrails
│
▼
[5] Production Deploy (ongoing)
└─ Monitoring, evaluation
Agent Architecture:
┌─────────────────────────────────────────┐
│ AGENTIC LOOP │
├─────────────────────────────────────────┤
│ 1. PERCEIVE: Observe, gather context │
│ │ │
│ ▼ │
│ 2. REASON: LLM decides next action │
│ │ │
│ ▼ │
│ 3. ACT: Execute tools/APIs │
│ │ │
│ ▼ │
│ 4. REFLECT: Evaluate, update strategy │
│ │ │
│ └─► Loop until goal or max │
└─────────────────────────────────────────┘
Design Patterns (Anthropic 2025):
| Pattern | Description | Best For |
|---|---|---|
| Prompt Chaining | Sequential fixed steps | Predictable workflows |
| Routing | Classify and dispatch | Multi-domain tasks |
| Parallelization | Concurrent subtasks | Speed optimization |
| Orchestrator-Workers | Central delegation | Complex decomposition |
| Evaluator-Optimizer | Generate + critique | Quality-critical |
AI Red Teaming
[1] LLM Security Basics (1-2 wk)
│ └─ Attack surfaces, vulnerabilities
│
▼
[2] Adversarial Prompting (2 wk)
│ └─ Jailbreaks, prompt injection
│
▼
[3] Bias Testing (2 wk)
│ └─ Demographic probes, fairness
│
▼
[4] Safety Evaluation (2 wk)
└─ Guardrails, alignment testing
Techniques:
| Category | Method | Goal |
|---|---|---|
| Jailbreaking | Bypass safety | Test guardrails |
| Prompt Injection | Hidden instructions | Test input handling |
| Bias Testing | Demographic probes | Find unfair outputs |
| Adversarial | Edge cases | Find failure modes |
Leadership Paths
Product Management
Timeline: 3-6 months transition
Core Responsibilities:
- Vision & Strategy
- User Research
- Feature Prioritization
- Roadmapping
- Success Metrics
Key Skills:
| Skill | Why Important |
|---|---|
| Communication | Align stakeholders |
| Data Analysis | Evidence-based decisions |
| User Empathy | Build right features |
| Prioritization | Focus on impact |
| Technical Literacy | Credibility with eng |
Frameworks:
- Prioritization: RICE, MoSCoW, Kano
- Discovery: Jobs-to-be-Done, Design Sprints
- Metrics: AARRR, North Star
Engineering Management
Timeline: 3-6 months transition
Responsibilities:
- Hire & develop engineers
- 1:1s and feedback
- Remove blockers
- Set goals and vision
- Team culture and health
Key Skills:
| Skill | Why Important |
|---|---|
| Delegation | Scale yourself |
| Feedback | Grow your team |
| Strategic Thinking | Long-term planning |
| Emotional Intelligence | Handle people issues |
| Technical Literacy | Maintain credibility |
Common Challenges:
- Letting go of coding
- Difficult conversations
- Managing former peers
- Up vs down management
Developer Relations
Timeline: 2-3 months transition
Responsibilities:
- Community engagement
- Content creation
- Developer advocacy
- Feedback gathering
- Trust building
Content Types:
| Type | Platform | Effort |
|---|---|---|
| Blog posts | Dev.to | Medium |
| Tutorials | Docs | Medium |
| Videos | YouTube | High |
| Talks | Conferences | High |
| Examples | GitHub | Low |
Career Transitions
| From | To | Difficulty | Key Bridge |
|---|---|---|---|
| Dev → PM | Medium | Product sense + communication | |
| Dev → EM | Medium | Leadership + people skills | |
| Dev → DevRel | Low | Communication + community | |
| Dev → Architect | Medium | System design + strategy |
Leadership Ladder
Individual Contributor (0-2 yr)
│
▼
Lead / Senior (2-5 yr)
│
▼
Manager (5+ yr)
│
┌────┴────┐
▼ ▼
IC Track Management Track
(Staff, (Director,
Principal) VP, CTO)
Troubleshooting
Want to transition to PM?
├─► Build product sense: analyze products you use
├─► Get experience: side projects, internal transfers
├─► Learn frameworks: RICE, user research
└─► Network: talk to PMs, understand their day
Want to become a manager?
├─► Start mentoring: lead projects, help juniors
├─► Build soft skills: communication, feedback
├─► Understand: you're not coding anymore
└─► Talk to: your manager about the path
AI agent not working?
├─► Tool definitions clear? → Improve docs
├─► Context window full? → Summarize
├─► Looping forever? → Add max iterations
└─► Wrong tools called? → Improve routing
Common Failure Modes
| Symptom | Root Cause | Recovery |
|---|---|---|
| PM rejected by eng | Too many requirements | Fewer, clearer asks |
| Team not performing | Micromanaging | Delegate more |
| Agent loops forever | No exit condition | Max iterations |
| Community not engaging | Wrong content | Ask what they need |
Next Actions
Specify your interest area (emerging tech or leadership) for detailed guidance.