Analytics & Monitoring Agent Skills for Zed

AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.

Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).

This skill should be used when the user wants to visualize data.

Zero-shot image classification and image-text search.

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create…

Use for creating publication-quality charts and multi-panel analysis summaries.

Build and run LLM-powered data processing pipelines with DocETL.

DSPy: declarative LM programs, auto-optimize prompts, RAG.

EAS service (paid). Use for anything related to EAS Observe - adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC…

Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving.

Fast vector similarity search at billion scale.

Speed up long-sequence transformer training and inference.

GitHub repository analytics dashboard — stars, forks, contributors, issues, pull requests, recent activity, and top contributors.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help.

Run PyTorch training across GPUs with minimal changes.

Fast BPE/WordPiece tokenization and custom vocab training.

Interact with Langfuse and access its documentation.

Create refreshable, auditable Open Design artifacts backed by connector or local data.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and…

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

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining.