# Skills for AI and ML Skills for AI and ML: what each one does, an install command and example prompts. 2465 cards · page 19 of 62 - HTML: https://affpapa.org/en/nevibecode/skills/topic/ai-ml?page=19 - Instructions for agents: https://affpapa.org/en/nevibecode/agents.md - [social-listening-brief](https://affpapa.org/en/nevibecode/skills/social-listening-brief.md) — skill · ScrapeCreators · Claude Code, Codex, Cursor +3 · 1200 installs — Pulls public mentions of a brand, product or topic from Reddit, TikTok, YouTube and elsewhere, then writes a cited report with themes and sentiment. - [autoresearch](https://affpapa.org/en/nevibecode/skills/orchestra-research-autoresearch.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 999 installs — Manages autonomous research projects using a two-loop cycle for rapid experiment execution and periodic synthesis. - [literature-search-europepmc](https://affpapa.org/en/nevibecode/skills/literature-search-europepmc.md) — skill · google-deepmind · Claude Code, Codex, Cursor +3 · 2600 installs — Searches Europe PMC for scientific papers, downloads open-access full texts and PDFs, and pulls citation and reference lists. - [alphagenome](https://affpapa.org/en/nevibecode/skills/alphagenome.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 466 installs — Queries precomputed AlphaGenome Atlas variant effects and scores regulatory DNA mutations in GRCh38 using DeepMind's sequence-to-function model. - [gguf-quantization](https://affpapa.org/en/nevibecode/skills/gguf-quantization.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 989 installs — This skill guides llama.cpp GGUF quantization from 2 to 8 bits. - [auto-editor-transcribe](https://affpapa.org/en/nevibecode/skills/auto-editor-transcribe.md) — skill · WyattBlue · Claude Code, Codex, Cursor +3 · 686 installs — Transcribes media or live microphone input into text and subtitles, then cuts sections by spoken words or regex. - [segment-anything-model](https://affpapa.org/en/nevibecode/skills/segment-anything-model.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 985 installs — A skill that walks your agent through SAM: segment objects by point, box or mask prompts, or generate every mask in an image at once. - [edge-strategy-reviewer](https://affpapa.org/en/nevibecode/skills/edge-strategy-reviewer.md) — skill · tradermonty · Claude Code, Codex, Cursor +3 · 3400 installs — A deterministic quality gate for strategy drafts: checks edge plausibility, overfitting risk and execution realism, then returns PASS, REVISE or REJECT. - [pair-trade-screener](https://affpapa.org/en/nevibecode/skills/pair-trade-screener.md) — skill · tradermonty · Claude Code, Codex, Cursor +3 · 3400 installs — This skill screens stocks for cointegrated pairs inside a sector, computes spread z-scores and returns entry and exit signals. - [unsloth](https://affpapa.org/en/nevibecode/skills/unsloth.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 981 installs — A skill that feeds your agent Unsloth docs, so fine-tuning scripts come out right: 2-5x faster training, 50-80% less memory. - [prompt-guard](https://affpapa.org/en/nevibecode/skills/prompt-guard.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 974 installs — Integrates Meta's 86M parameter Prompt Guard model to detect jailbreaks and prompt injections in user prompts and RAG contexts before reaching the LLM. - [qdrant-vector-search](https://affpapa.org/en/nevibecode/skills/qdrant-vector-search.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 969 installs — This skill guides agents through Qdrant vector search for RAG and semantic search. - [fine-tuning-with-trl](https://affpapa.org/en/nevibecode/skills/fine-tuning-with-trl.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 969 installs — A skill for post-training language models with TRL: SFT, DPO, PPO and GRPO recipes you can run as-is. - [tensorboard](https://affpapa.org/en/nevibecode/skills/tensorboard.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 956 installs — This skill gives your agent working recipes for TensorBoard: log training metrics, inspect weight histograms, open the dashboard. - [optimizing-attention-flash](https://affpapa.org/en/nevibecode/skills/optimizing-attention-flash.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 967 installs — A skill that moves transformer attention onto Flash Attention for 2-4x speedup and 10-20x memory reduction. - [quantizing-models-bitsandbytes](https://affpapa.org/en/nevibecode/skills/quantizing-models-bitsandbytes.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 966 installs — Quantizes LLMs to 8-bit or 4-bit via bitsandbytes to cut GPU memory use by 50% to 75%. - [grpo-rl-training](https://affpapa.org/en/nevibecode/skills/grpo-rl-training.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 963 installs — A skill that walks your agent through GRPO fine-tuning with TRL: reward function templates and training configs. - [hqq-quantization](https://affpapa.org/en/nevibecode/skills/hqq-quantization.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 962 installs — A skill that walks the agent through Half-Quadratic Quantization of LLM weights to 8/4/3/2/1-bit precision without a calibration dataset. - [verl-rl-training](https://affpapa.org/en/nevibecode/skills/verl-rl-training.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 962 installs — Provides step-by-step guidance for reinforcement learning post-training of LLMs using verl with FSDP, Megatron-LM, and Ray. - [axolotl](https://affpapa.org/en/nevibecode/skills/axolotl.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 960 installs — Walks your agent through Axolotl training runs: YAML configs, LoRA and QLoRA, DPO, KTO, ORPO and GRPO methods, dataset formats. - [huggingface-tokenizers](https://affpapa.org/en/nevibecode/skills/huggingface-tokenizers.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 959 installs — Provides guides and code patterns for high-speed text tokenization using Hugging Face Tokenizers. - [sentence-transformers](https://affpapa.org/en/nevibecode/skills/sentence-transformers.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 959 installs — Guides an agent through local text and image embeddings for RAG, semantic search, clustering, and similarity work. - [awq-quantization](https://affpapa.org/en/nevibecode/skills/awq-quantization.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 958 installs — A skill for 4-bit LLM weight quantization with AWQ: faster inference and lower GPU memory use. - [clip](https://affpapa.org/en/nevibecode/skills/clip.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 957 installs — Use CLIP for zero-shot image classification, image-text matching, and semantic image search without fine-tuning. - [pytorch-fsdp2](https://affpapa.org/en/nevibecode/skills/pytorch-fsdp2.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 958 installs — Teaches a coding agent to wire PyTorch FSDP2 into a training loop: init, sharding, mixed precision and distributed checkpoints. - [nanogpt](https://affpapa.org/en/nevibecode/skills/nanogpt.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 956 installs — This skill guides work with a small PyTorch GPT implementation. - [openrlhf-training](https://affpapa.org/en/nevibecode/skills/openrlhf-training.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 954 installs — A skill that hands your agent ready commands for PPO, GRPO, RLOO and DPO runs on models from 7B to 70B+. - [distributed-llm-pretraining-torchtitan](https://affpapa.org/en/nevibecode/skills/distributed-llm-pretraining-torchtitan.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 954 installs — Configures distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). - [transformer-lens-interpretability](https://affpapa.org/en/nevibecode/skills/transformer-lens-interpretability.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 954 installs — This skill guides TransformerLens research on transformer internals, from activation caching and attention analysis to activation patching experiments. - [modal-serverless-gpu](https://affpapa.org/en/nevibecode/skills/modal-serverless-gpu.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 954 installs — A skill for running ML workloads on Modal's serverless GPUs: training, inference, batch jobs. - [sglang](https://affpapa.org/en/nevibecode/skills/sglang.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 954 installs — Equips your agent with patterns for serving LLMs via SGLang, configuring RadixAttention prefix caching, and decoding constrained JSON. - [evaluating-code-models](https://affpapa.org/en/nevibecode/skills/evaluating-code-models.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 953 installs — Runs code-model benchmarks and reports pass@k metrics. - [edge-hint-extractor](https://affpapa.org/en/nevibecode/skills/edge-hint-extractor.md) — skill · tradermonty · Claude Code, Codex, Cursor +3 · 3300 installs — Turns daily market observations and news reactions into structured edge hints, written out as hints.yaml. - [strategy-pivot-designer](https://affpapa.org/en/nevibecode/skills/strategy-pivot-designer.md) — skill · tradermonty · Claude Code, Codex, Cursor +3 · 3300 installs — Detects stagnation in backtest iteration loops and generates structurally different strategy proposals when parameter tuning hits a local optimum. - [pyvene-interventions](https://affpapa.org/en/nevibecode/skills/pyvene-interventions.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 952 installs — This skill guides causal intervention experiments on PyTorch models using pyvene. - [sentencepiece](https://affpapa.org/en/nevibecode/skills/sentencepiece.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 952 installs — A skill that walks the agent through training and running a SentencePiece tokenizer on raw text, with BPE or Unigram. - [slime-rl-training](https://affpapa.org/en/nevibecode/skills/slime-rl-training.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 951 installs — Guides LLM post-training with RL using the slime framework, connecting Megatron-LM and SGLang. - [outlines](https://affpapa.org/en/nevibecode/skills/outlines.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 951 installs — A skill for generating valid JSON, XML and code from Pydantic schemas and grammars. - [sparse-autoencoder-training](https://affpapa.org/en/nevibecode/skills/sparse-autoencoder-training.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 950 installs — Provides patterns to train and analyze Sparse Autoencoders using SAELens. - [simpo-training](https://affpapa.org/en/nevibecode/skills/simpo-training.md) — skill · Orchestra Research · Claude Code, Codex, Cursor +3 · 950 installs — Sets up SimPO preference training for language models from chosen and rejected pairs. Next: https://affpapa.org/en/nevibecode/skills/topic/ai-ml.md?page=20 ## Refine [python](https://affpapa.org/en/nevibecode/tag/python.md) · [llm](https://affpapa.org/en/nevibecode/tag/llm.md) · [image-generation](https://affpapa.org/en/nevibecode/tag/image-generation.md) · [video](https://affpapa.org/en/nevibecode/tag/video.md) · [research](https://affpapa.org/en/nevibecode/tag/research.md) · [rag](https://affpapa.org/en/nevibecode/tag/rag.md) · [cli](https://affpapa.org/en/nevibecode/tag/cli.md) · [typescript](https://affpapa.org/en/nevibecode/tag/typescript.md) · [machine-learning](https://affpapa.org/en/nevibecode/tag/machine-learning.md) · [audio](https://affpapa.org/en/nevibecode/tag/audio.md) · [pytorch](https://affpapa.org/en/nevibecode/tag/pytorch.md) · [api](https://affpapa.org/en/nevibecode/tag/api.md) ## Narrow this list Parameters: `?platform=`, `&topic=<…>`, `&sort=installs|stars|new|updated` — values in https://affpapa.org/en/nevibecode/agents.md --- NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md