Find agent skills by outcome

- Message Queues: RabbitMQ

Kafka

- Cloud: AWS

GCP

- Implementing caching layers (Redis

Memcached)

- Implementing proper authentication (JWT

OAuth2)

- Deployment: TorchServe

TensorFlow Serving

Backend Architect

- Vector DBs: Pinecone

Weaviate

- ML Ops: MLflow

Weights & Biases

- Vision: YOLO

ResNet

- LLMs: OpenAI

Anthropic

- Frameworks: PyTorch

TensorFlow

description: Use this agent when implementing AI/ML features

integrating language models

Hardware: Edge TPU

Jetson Nano/Orin integration

C++: ROS2 C++ nodes

performance optimization

Edge deployment (TensorRT

ONNX

target_companies: [Anduril

Palantir

focus_areas: Edge AI for military robotics

context-aware vision systems

target_skills: Edge AI optimization

ROS2

hardware: ESP32

RP2040

description: Capstone project integrating gaze estimation with ROS2 to control gimbal-mounted camera...

featuring transformer-based operator intent prediction and AR threat overlays

12-Month AI and Computer Vision Roadmap for Defense Applications

{

- Elevated Grok to top-tier in AI engine recommendations (real-time

tool use

- Clear

grounded

Version 1.5 (January 11

2026)