Claude Code Machine Learning skills :)
Flowy lists 238 skills in the Machine Learning category for Claude Code, across 22 plugins. A skill is a folder of instructions an agent loads while you work. Every one here shows what is inside before you install, who wrote it, and whether it is Auto-invoked, meaning a FLOW.md router fires it as you prompt.
hf-cli
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and…
hf-cloud-aws-context-d…
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use…
hf-cloud-python-env-se…
Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill…
feast-architecture
Internals of the Feast codebase — how each component works, where the key abstractions live, and the data flow through the…
feast-dev
Development guide for contributing to the Feast codebase. Covers environment setup, testing, linting, project structure, and PR…
feast-testing
How to test and debug Feast — running targeted tests, writing unit tests for new components, debugging registry and online store…
accessing-mlflow
Query and browse evaluation results stored in MLflow. Use when the user wants to look up runs by invocation ID, compare metrics…
benchmark-model-kernel…
Inspect Hugging Face decoder layers on meta tensors and plan or run per-rank BF16, FP8, and NVFP4 GEMM or fused-MoE…
common
Shared ModelOpt support files. Use only when another ModelOpt skill directs you here.
dev-stack
Start, monitor, restart, or stop the local OpenRAG dev stack (Docker infra + host backend + host frontend). Use when the user…
install
Plan and execute a minimal OpenRAG installation with requirement drafting, task tracking, configuration guidance, and local…
sdk
Guide developers through integrating the OpenRAG SDK into applications with code examples, configuration, and best practices
nemotron-add-model
Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model…
nemotron-add-pattern
Add a cross-cutting decision pattern under src/nemotron/steps/patterns/. Use when a recurring ML decision (tokenizer lock, eval…
nemotron-add-step
Add a new step under src/nemotron/steps/<category>/<step_id>/ — manifest (step.toml), runner glue, configs, and per-step…
claude-vision-skill
Use when the user shares, pastes, or references an image (local path or URL) and you need to describe, analyze, or recognize its…
configs
How the prime-rl config system works — TOML files, CLI overrides, composition, and special patterns. Use when creating configs,…
dashboard
Find, start, use, and stop the local run dashboard for metrics, configs, traces, logs, and reports. Use when asked for its URL,…
eval
Launch and monitor prime-rl evals — the `uv run eval` entrypoint, its config and CLI shorthands, run directory, resume, logs and…
llm-pipeline-analysis
Inspect LLM torch profiler traces at forward-pass, layer, and kernel level. Use when you need layer timings, anchor-kernel…
llm-serving-auto-bench…
Framework-independent LLM serving benchmark skill for comparing SGLang, vLLM, TensorRT-LLM, TokenSpeed, or another serving…
llm-serving-capacity-p…
Parse SGLang/vLLM startup logs to explain GPU memory use and request capacity. Use for KV cache budget, mem-fraction-static…
author-environment
Create or modify Isaac Lab-Arena environments, scenes, tasks, completion predicates, placement constraints, and environment…
commit-and-pr
Creates Arena-conformant commits and pull requests. Enforces DCO sign-off (git commit -s), no AI attribution lines (no…
dev-container
Bootstraps and maintains the Docker environment used when contributing to Isaac Lab-Arena. Use when preparing a checkout for…
configuration
Install/update Sparkrun 0.4.0, configure host clusters and SSH, check setup, manage plugins/features, and inspect or clean model…
registry
Browse Sparkrun 0.4.0 recipe registries and benchmark profiles; inspect, export, validate, or author recipes.
workloads
Launch, inspect, log, stop, benchmark, and manage inference workloads with Sparkrun 0.4.0, including gateways and optional daemon…
check-release
Verifies that a TorchJD release was published correctly by checking the docs site, installing from PyPI, and smoke-testing newly…
implement-method
Implements a new method (scalarizer or aggregator) in TorchJD, starting from the research produced by the research-method skill…
prepare-release
Prepares a torchjd package release by verifying the changelog, README, bumping the version in pyproject.toml, and opening a…
karpathy-skill
Andrej Karpathy的思维框架与表达方式。基于20+篇博文、16段深度访谈、100+条X帖子的系统蒸馏, 提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查。…
dspy-advanced-workflow
Build DSPy 3.2.x programs through spec, program, metric and baseline; extend to optimization and export when requested and…
dspy-evaluation-harnes…
Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization. Use when writing a metric…
dspy-fundamentals
Write idiomatic DSPy 3.2.x programs — typed Signatures, dspy.Module subclasses, Predict/ChainOfThought/ReAct/ProgramOfThought,…
application-flow
High-level overview of a typical ovrtx application lifecycle. Use when user asks how to structure an ovrtx program, what the main…
async-operations
Asynchronous operation patterns including polling, timeouts, and non-blocking workflows. Use when user asks about async…
attribute-bindings
Replacing persistent ovrtx attribute bindings with reusable ovstage queries for repeated writes or maps. Use when user asks about…
laya-integration
Add fast, local, typed decisions to any project with Laya, an open-source non-generative decision model (pip install laya). It…
distil-cli
Use when building or training a model on the distil labs platform end to end: preparing a dataset (config.yaml,…
building-with-typesafe…
Use when code needs a judgment about natural language that rules or regex cannot make (classify, route, triage, moderate, score,…
thorlabs-blender-optic…
Design, reconstruct from photographs or schematics, correct, audit, and present Blender optical systems using provenance-bound…
boltzgen
BoltzGen is an all-atom diffusion model that generates antibody, nanobody, and de novo miniprotein backbones conditioned on a…
by-campaign-manager
Plan, execute, monitor, and assess protein/antibody design campaigns. This skill governs how to size a campaign, track run state,…
by-campaign-optimizer
Multi-round design campaigns generate scored designs at every iteration. This skill turns that scoring history into actionable…
hf-cloud-sagemaker-dep…
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host,…
hf-cloud-sagemaker-iam…
Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker…
hf-cloud-sagemaker-pro…
Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging…
feast-user-guide
Guide for working with Feast (Feature Store) — defining features, configuring feature_store.yaml, retrieving features…
compare-results
Establish baseline-vs-candidate evaluation plans, delegate missing evaluations, compare validated results, and decide…
day0-release
Deterministic end-to-end driver for day-0 quantized-checkpoint releases — chains PTQ → evaluation → comparison with enforced…
debug
Run commands inside a remote Docker container via the file-based command relay (tools/debugger). Use when the user says "run in…
nemotron-customize
Configure and chain repo-native Nemotron steps for curation, tokenizer extension, SDG/BYOB, training, conversion, optimization,…
nemotron-lightning35
Reference desk for NVIDIA Nemotron 3.5 Lightning (30B-A3B), a hybrid Mamba-Transformer MoE with MTP built from Nano 3 Base by…
nemotron-nano3
Reference desk for Nemotron 3 Nano / Llama-Nemotron Nano 3 — architecture, training data, recipes, evaluation, quantization,…
install
How to install prime-rl and its optional dependencies. Use when setting up the project, installing extras like DeepEP for…
kernels
How prime-rl vendors, builds, and ships CUDA kernels (the `deps/prime-kernels` submodule and the `prime-kernels` wheel). Use when…
model-factory
Launch and monitor prime-rl runs on Model Factory with prime train, and retrieve their traces. Use for requests such as "run this…
llm-torch-profiler-ana…
Analyze existing Torch Profiler Chrome traces or capture from SGLang, vLLM, TensorRT-LLM and TokenSpeed servers. Return kernel…
model-architecture-dia…
Return public original model architecture diagrams for user-specified LLM, VLM, MoE, diffusion, OCR, and SGLang/sgl-cookbook…
model-compute-simulati…
Build an operator-level compute template for an LLM and estimate FLOPs/MFU for a serving shape. Use when you need tensor shapes,…
download-osmo-evaluati…
Downloads Isaac Lab-Arena OSMO workflow output (evaluation results, videos, HDF5 demos) to a local folder with `osmo data…
draft-pr-review
Turns review findings from a local or agent-assisted code review into a pending GitHub pull request review that the reviewer…
run-experiment
Runs existing Isaac Lab-Arena Experiment Definitions locally with experiment_runner.py in a ready native or Docker runtime,…
research-method
Researches about a new method (scalarizer or aggregator) from the scientific literature and how to integrate it to TorchJD. Use…
dspy-gepa-optimizer
Optimize DSPy programs with dspy.GEPA — a reflective/evolutionary optimizer to consider against task-specific baselines within an…
dspy-rlm-module
Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire…
binding-materials
Binding materials to prims at runtime. Use when user asks to assign a material, change a material, set material binding, or swap…
camera-outputs-rt2
Available camera render outputs for Real-Time Path-Tracing (RT2) mode. Use when user asks what AOVs/render vars are available,…
cloning-prims
Cloning USD subtrees to create copies at new paths. Use when user asks to clone, duplicate, copy a prim, or create instances of…
by-causal-reasoning
Most "AI scientist" demos fake reasoning by chaining LLM calls and calling the chain a hypothesis. This skill does the opposite:…
by-database
Use the BY MCP database tools to query PDB, UniProt, and SAbDab for target characterization, antibody scaffold selection, and…
by-deploy-compute
BY is a **local-first** agent. The default compute provider is `"local"` (see `.by/config.json` → `compute.default_provider`).…
hf-cloud-serving-image…
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about…
hf-mcp
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run…
hf-mem
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
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