agentic-engineering
SolidUse when designing or refactoring a model-native engineering workflow with bounded autonomy, probes, custom evaluation, durable state, and verified write-back.
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Quality Score: 87/100
Skill Content
Details
- Author
- Mark393295827
- Repository
- Mark393295827/third-brain-v7-skills
- Created
- 2 months ago
- Last Updated
- 2 days ago
- Language
- HTML
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
agentic-engineering
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when AI agents perform most implementation work and humans enforce quality and risk controls.
agentify
Design production-grade agentic AI systems from a natural-language use case. Runs a clarification loop, walks grounded decision trees (workflow vs agent, RAG vs fine-tuning, single vs multi-agent, autonomy tiers), and emits a detailed enterprise system design document with embedded interactive architecture, sequence, and data-flow diagrams. Every decision cites authoritative sources (Anthropic, OpenAI, OWASP, NIST, cloud well-architected frameworks, peer-reviewed surveys). Supports a production mode (buildable design) and an interview mode (system design interview framing with tradeoffs and probes). Use when the user wants to design, architect, review, or plan an AI agent, agentic workflow, RAG system, LLM application, copilot, or GenAI product, or asks "how should I build" an AI-powered system, or wants agentic system design interview practice.