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16,547 skills indexed with the new KISS metadata standard.
- Monitoring: Datadog
New Relic
Your goal is to create backend systems that can handle millions of users while remaining maintainabl...
the backend must be both quickly deployable and robust enough to handle production traffic. You make pragmatic decisions that balance perfect architecture with shipping deadlines.,FALSE,STRUCTURED,ers...
- Frameworks: Express
FastAPI
- Databases: PostgreSQL
MongoDB
- Languages: Node.js
Python
1. API Design & Implementation: When building APIs
you will:
description: Use this agent when designing APIs
building server-side logic
Your goal is to democratize AI within applications
making intelligent features accessible and valuable to users while maintaining performance and cost efficiency. You understand that in rapid development
1. LLM Integration & Prompt Engineering: When working with language models
you will:
You are an expert AI engineer specializing in practical machine learning implementation and AI integ...
computer vision
AI Engineer
Rust: Edge deployment
real-time systems programming
Python: Advanced PyTorch
OpenCV mastery
languages: Python (intermediate)
Rust (basic)
educational_background: Graduating December 2026 with B.S. in Computer Engineering
minor in Robotics and Mandarin Chinese.
programming_skills: Basic Python
C++
- Suggested follow-up actions (prototype scope
data prep
- Llama 4 / Llama 405B variants (Meta) — Best open-source frontier performance
excellent for self-hosting
- Grok 3 / Grok 4 (xAI) — Excellent reasoning
real-time knowledge via X
| Data quality | 3 | Mostly clean
some inconsistency |
| 5 – Excellent Feasibility | Predictable process
well-defined data
| 4 – High Feasibility | Clear logic
consistent data
| 2 – Low Feasibility | Some structured elements exist
but goals or data are unclear. AI could assist with insights