Analytics & Monitoring Agent Skills for Grok Build

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.

Quarterly / monthly financial report — masthead with KPIs, revenue and burn charts, P&L summary table, top-line highlights, and an outlook…

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…