| name | emerging-tech |
| description | Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel). |
| triggers | ["prompt engineering","ai-agents","leadership","pm","product manager","engineering manager","devrel","llm","red teaming"] |
| parameters | {"focus":{"type":"string","enum":["emerging-tech","leadership"],"required":true},"specific_area":{"type":"string","required":false}} |
| outputs | {"learning_path":{"type":"array"},"skills_required":{"type":"array"},"timeline":{"type":"string"}} |
| retry | {"max_attempts":3,"backoff":"exponential"} |
| observability | {"log_level":"info"} |
| level | advanced |
| prerequisites | ["industry-experience"] |
| 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 │
└─────────────────────────────────────────┘
