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Best AI and LLM engineering skills, page 98
AI & LLM Engineering skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 4657 | 4657.Token Diet Cut LLM output tokens 40–70% by stripping grammatical scaffolding while preserving every fact — telegraphic output modes, when they pay (pipelines, long sessions) and when they don't (single shots… | mohitagw15856/ | 1.4k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 4658 | Design a usage-based pricing scheme that scales revenue with value without scaring customers away — the metric that tracks value, tiers with included volume, and the guardrails that prevent bill… | mohitagw15856/ | 1.4k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 4659 | 4659.Voice Agent Design Design a voice AI agent for phone or in-app conversations — call flows, interruption handling, escalation to humans, and the metrics that catch a bad voice experience. | mohitagw15856/ | 1.4k | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 4660 | 4660.AI Ethics Review Conduct a structured ethical review of an AI or ML feature, model, or product. | mohitagw15856/ | 1.4k | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 4661 | 4661.Model Card Document a deployed ML/AI model so others can use it responsibly. | mohitagw15856/ | 1.4k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 4662 | A skill your agent uses when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured… | JetBrains/ | 366 | — | ~1.6k | Automated safety check: Pass | No licence | 3 mo ago |
| 4663 | A skill your agent uses when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks… | JetBrains/ | 366 | — | ~2.5k | Automated safety check: Pass | No licence | 3 mo ago |
| 4664 | A skill your agent uses when building real-time, bidirectional streaming applications with the Gemini Live API. | JetBrains/ | 366 | — | ~2.6k | Automated safety check: Pass | No licence | 3 mo ago |
| 4665 | 4665.GPU Optimizer GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. | Mathews-Tom/ | 329 | — | ~3.5k | Automated safety check: Notes | MIT | 5 days ago |
| 4666 | 4666.Cost Optimizer Ultimate cost optimization toolkit for OpenClaw/Claude Code. | LeoYeAI/ | 2.2k | — | ~3.3k | Automated safety check: Notes | MIT | 2 mo ago |
| 4667 | 4667.Deep Reading 书/长文/研报/论文的深度消化,产出结构笔记+原子笔记+知识网络连接。关键词:深度阅读、深度学习、结构笔记、deep learning。 | LeoYeAI/ | 2.2k | — | ~2.5k | Automated safety check: Pass | MIT | 2 mo ago |
| 4668 | 4668.Expression Coach 个人表达能力训练教练。支持即兴话题练习(AI评分+反馈)、职场/社交场景角色扮演模拟、表达框架速查、 自定义话题管理、进步追踪与数据分析、每日表达力Tips推送。 | LeoYeAI/ | 2.2k | — | ~2.5k | Automated safety check: Pass | MIT | 2 mo ago |
| 4669 | Physics-derived reasoning engine for AI models. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~1.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 4670 | Java/Maven single-module deep documentation generator. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~3.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 4671 | 4671.Neolata Mem Graph-native memory engine for AI agents — hybrid vector+keyword search, biological decay, Zettelkasten linking, trust-gated conflict resolution, explainability, episodes, compression & consolidation. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 4672 | 4672.Veadk Skills 根据用户的功能需求,完成与 VeADK 相关的功能。 | LeoYeAI/ | 2.2k | 1 repo | ~293 | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 4673 | A skill your agent uses when selecting Sentence Transformers inference backends or exporting/optimizing models for PyTorch, ONNX, or OpenVINO. | VectorSpaceLab/ | 331 | — | ~766 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4674 | 4674.Chunking Configure and validate Unstructured post-partition chunking for RAG, embedding, and downstream processing. | VectorSpaceLab/ | 331 | — | ~974 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4675 | Use this sub-skill for Torch-TensorRT model compilation, dynamic input planning, torch.export workflows, save/load formats, raw TensorRT engines, and compile-time troubleshooting. | VectorSpaceLab/ | 331 | — | ~1.3k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 4676 | 4676.Configuration Use this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state. | VectorSpaceLab/ | 331 | — | ~756 | Automated safety check: Pass | MIT | 1 mo ago |
| 4677 | Use this DeepCTR sub-skill for SparseFeat, DenseFeat, VarLenSparseFeat, hashing, embedding sharing, input dictionaries, and tabular or sequence feature-column validation. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4678 | 4678.Datasets Io Utils Use this sub-skill when constructing torchvision datasets, validating dataset roots and downloads, wrapping datasets for transforms v2, decoding or encoding images with torchvision.io, or using… | VectorSpaceLab/ | 331 | — | ~760 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 4679 | 4679.Deepctr Use this DeepCTR repo skill for CTR/recommender feature columns, Keras models, sequence/session models, multitask models, and legacy TensorFlow Estimator workflows. | VectorSpaceLab/ | 331 | — | ~630 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4680 | 4680.Detection A skill your agent uses for PaddleViT object detection workflows with DETR, Swin, or PVTv2: validate COCO data, select configs, build/train/evaluate models, reason about transforms, losses… | VectorSpaceLab/ | 331 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4681 | 4681.Diffusers A skill your agent uses for Hugging Face Diffusers tasks: pipeline inference, schedulers, adapters/loaders, training recipes, modular pipelines, conversion helpers, CLI checks, and repo maintenance. | VectorSpaceLab/ | 331 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4682 | 4682.Embeddings Add embeddings to Unstructured elements with provider-specific encoders, credential-safe configuration, and metadata-preserving enrichment checks. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4683 | 4683.Espnet A skill your agent uses when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4684 | Build ONNX export and validation commands, package/load timm models via Hugging Face Hub or local directories, use Torch Hub compatibility, and safely clean or average checkpoints. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4685 | 4685.Feast A skill your agent uses for Feast feature store tasks: feature repositories, definitions, CLI, retrieval, materialization, serving, RAG/vector search, integrations, and Feast contributor workflows. | VectorSpaceLab/ | 331 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4686 | 4686.Hunyuan Video Use this operating skill for Tencent-Hunyuan/HunyuanVideo text-to-video setup, checkpoint layout, inference commands, Gradio launch, and CUDA/FP8/xDiT troubleshooting. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 4687 | 4687.Imgaug A skill your agent uses when working with imgaug image augmentation pipelines, aligned annotations, stochastic parameters, dtype/data utilities, or multicore augmentation for computer-vision data. | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 4688 | Use this sub-skill for Ultralytics YOLO predict workflows, source handling, streaming and batching, Results extraction, saving/plotting/cropping, and thread-safe inference. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 4689 | Use torchtune generation, Eleuther evaluation, and quantization workflows safely after checkpoints exist. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 4690 | 4690.Inference Workflows A skill your agent uses when running RobustVideoMatting inference, loading weights, using convertvideo or TorchHub, converting image/video inputs, or reasoning about exported model runtimes. | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 4691 | Load local files or raw text into LlamaIndex Documents, split them into metadata-aware nodes, and run ingestion pipelines with cache/docstore controls. | VectorSpaceLab/ | 331 | — | ~931 | Automated safety check: Pass | MIT | 1 mo ago |
| 4692 | 4692.Lie Tensor A skill your agent uses for PyPose LieTensor and manifold computation: choose SO3, SE3, Sim3, or RxSO3 group/algebra representations; construct, batch, convert, compose, act, retract, differentiate… | VectorSpaceLab/ | 331 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4693 | 4693.Litellm A skill your agent uses for LiteLLM Python SDK, AI Gateway proxy, model routing, provider endpoint mapping, MCP/A2A agent tooling, pass-through routes, guardrails, virtual keys, spend tracking, and… | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 4694 | 4694.Make It 3D Use this repo skill for Make-It-3D single-image 3D creation, including CUDA asset setup, alpha-image validation, coarse NeRF optimization, refinement, rendering, export, and troubleshooting. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4695 | 4695.Mmdetection A skill your agent uses when working with MMDetection 3.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization… | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4696 | 4696.Model API A skill your agent uses when working with RobustVideoMatting MattingNetwork APIs, recurrent states, model variants, refiners, tensor shapes, and safe synthetic forward checks. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 4697 | 4697.Model Summary Usage Use torchsummary.summary and torchsummary.summarystring to inspect PyTorch nn.Module shapes, parameter counts, devices, dtypes, and memory estimates. | VectorSpaceLab/ | 331 | — | ~847 | Automated safety check: Pass | MIT | 1 mo ago |
| 4698 | 4698.Models And Flavors Use this sub-skill for MLflow Models, pyfunc, flavor APIs, signatures, input examples, dependencies, local serving/prediction, and mlflow.evaluate workflows. | VectorSpaceLab/ | 331 | — | ~675 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4699 | 4699.Models And Modules Use torchtune model/tokenizer builders, PEFT modules, losses, conversion utilities, and modeling components safely. | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 4700 | Use this sub-skill for MLAlgorithms NeuralNet construction, activations, losses, parameters, constraints, regularizers, optimizers, convolutional/recurrent layers, and DQN wiring. | VectorSpaceLab/ | 331 | — | ~941 | Automated safety check: Pass | MIT | 1 mo ago |
| 4701 | Use this operating sub-skill to create, adapt, and troubleshoot ManimML neural-network scenes: NeuralNetwork containers, feed-forward and convolutional layers… | VectorSpaceLab/ | 331 | — | ~1.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 4702 | 4702.Ops And Detection Use torchvision.ops for boxes, NMS, ROI pooling/alignment, detection helper concepts, and extension-dependent troubleshooting. | VectorSpaceLab/ | 331 | — | ~698 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 4703 | A skill your agent uses for Feast RAG, vector search, vector-indexed fields, vector online stores, document embedding/chunking, retrieveonlinedocuments APIs, DocEmbedder, FeastVectorStore, and… | VectorSpaceLab/ | 331 | — | ~622 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 4704 | 4704.Rags Use this repo skill for RAGs, a Streamlit app that builds configurable LlamaIndex RAG agents from natural-language setup, data sources, and model settings. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | MIT | 1 mo ago |
Explore related skills
Topics in AI & LLM Engineering
- Building AI agents546
- Deep learning407
- Embeddings375
- LLM inference and serving373
- Prompt engineering347
- Retrieval-augmented generation346
- LLM evaluation306
- Fine-tuning306
- Speech recognition and synthesis304
- Structured output and tool calling267
- Model routing and gateways256
- LLM cost and token optimization254
- LLM API integration251
- LLM observability240
- LLM guardrails217
- Computer vision195
- Model hubs and datasets179
- GPU and accelerator computing174
- Diffusion and image models165
- Natural language processing130
- Reinforcement learning66
- AI interpretability23
Products these skills work with
Roles that use these skills
Other categories
- Development15,214
- Frontend & Design5,827
- Backend & APIs7,095
- Testing & QA5,045
- DevOps & Cloud5,975
- Databases2,347
- Data & Analytics3,623
- Agent Workflows8,310
- Documents & Office4,299
- Writing & Content3,744
- Marketing & SEO3,900
- Sales & Support1,809
- Research & Science6,061
- Security3,085
- Productivity & Automation4,039
- Business, Finance & HR3,855
- Legal & Compliance1,617
- Education1,078
- Media & Creative4,318
- Mobile2,746
- Product & Project Management2,329
- Knowledge Management1,439
- Game Development1,660