Agent skills for Zed

IMPORTANT - Path Resolution: This skill can be installed in different locations (plugin system, manual installation, global, or…

Three.js geometry creation - built-in shapes, BufferGeometry, custom geometry, instancing.

Web browser game development principles.

Work with MitoNet/Empanada for mitochondrial semantic and 3D instance segmentation in electron microscopy.

Create and render OpenSCAD 3D models. Generate preview images from multiple angles, extract customizable parameters, validate syntax, and…

Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.

Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds…

When the AI leads vs. when the user leads, and how to hand off control.

Mixture of Agents - Use multiple AI models collaboratively to improve response quality.

End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases.

Machine learning skill for nanomaterial property prediction and discovery acceleration

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM.

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases…

ML optimization sweet spot principle: "More is not always better".

MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers…

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow…

Design or audit a model-agnostic evaluation harness for an LLM or multimodal LLM on a clinical task (radiology report generation, visual…

When to activate: MLOps, DVC, model versioning, drift detection, Evidently, WhyLogs, retraining, ML CI/CD, model monitoring

Use when designing or auditing the evaluation of an MLSys paper, selecting representative workloads and hardware, tuning baselines…

Use when positioning an MLSys submission against the fast-moving ML-systems literature scattered across OSDI, SOSP, NSDI, ASPLOS, and ML…

Use when hardening the reproducibility of MLSys performance claims, pinning the full system layer from driver to interconnect, separating…