data-ai skill for Claude AI. Grade A. Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types.
57.1KStars5KForks
Repository last pushed
Machine Learning Skills for Claude Code, Codex & AI Agents
These skills help an agent prepare ML workflows and communicate their results. Members cover Feast feature stores, ML engineering, cluster evaluation, vision tools, Plotly, scientific slides, and forecasting.
12 skillsStart here
Free
Research & data
Feast — Use Feast
Guide for working with Feast (Feature Store) — defining features, configuring feature_store.yaml, retrieving features online/offline, using the CLI, and building RAG retrieval pipelines.
7.4KStars1.5KForks
Repository last pushed
feast-dev
data-ai skill for Claude AI. Grade A. End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches.
302.5KStars44.6KForks
Repository last pushed
data-ai skill for Claude AI. Grade A. Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.
57.1KStars5KForks
Repository last pushed
Explore Machine Learning skills
8 skillsFree
Research & data
Feast — Understand Feast Architecture
Internals of the Feast codebase — how each component works, where the key abstractions live, and the data flow through the system.
7.4KStars1.5KForks
Repository last pushed
feast-dev
Free
Other utilities
ModLens Vision Skill
Give text-only agents image understanding through a configurable vision CLI, covering image questions, screenshots, and chart interpretation.
4.9KStars154Forks
Repository last pushed
liustack
Free
Other utilities
Agent Vision Toolkit
Equip text-only agents with image questions, OCR, target localization, cropping, SVG tracing, and screenshot comparison tools.
1.3KStars50Forks
Repository last pushed
anionex
Free
Testing & security
Feast — Test Feast
How to test and debug Feast — running targeted tests, writing unit tests for new components, debugging registry and online store issues, and inspecting live feature store state.
7.4KStars1.5KForks
Repository last pushed
feast-dev
Forecast univariate time series with Google TimesFM, including uncertainty estimates and optional covariates.
35.4KStars3.5KForks
Repository last pushed
Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; inference…
19.7KStars1.3KForks
Repository last pushed
Apply practical large-model training and operations guidance, and evaluate GPU cluster performance and readiness.
19.7KStars1.3KForks
Repository last pushed
Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-node all-reduce bandwidth and per-call latency of every collective, the same inter-node on every node you were given (omit those sections if there is only one node), fio on local disk and shared FS, dated markdown report.
19.7KStars1.3KForks
Repository last pushed
Related topics
How to choose Machine Learning skills
Use engineering or feature-store entries for pipelines, evaluation skills for model behavior, and visualization or slide entries when results need to be explained.
- Set up a feature store workflow
- Evaluate a clustering result
- Plot model results for a review