Analytics & Monitoring Agent Skills

Speed up long-sequence transformer training and inference.

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

Constrain LLM output with grammars; guarantee valid JSON.

HeartMuLa: Suno-like song generation from lyrics + tags.

Open Design's weekly growth review: stars, installs, activation — the number, the driver, and the recommended move.

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.

Structured LLM outputs validated with Pydantic.

Interact with Langfuse and access its documentation.

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

Notion-style team dashboard rendered as a Live Artifact.

Vision-language chat: VQA, captioning, image dialogue.

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

Agent skill for data-ml-model - invoke with $agent-data-ml-model

This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal…

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

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics…

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

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT.

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit…