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AI & LLM Engineering · For data scientists
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 2305 | 2305.Elder Scam Briefing Protect aging parents from the scams that target them — the conversation that doesn't condescend, the family code word, the top patterns aimed at seniors, and the guardrails that help without taking… | mohitagw15856/ | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT | 2 days ago |
| 2306 | Model the cost and latency of an LLM feature before it ships and surprises the bill. | mohitagw15856/ | 1.4k | — | ~985 | Automated safety check: Pass | MIT | 2 days ago |
| 2307 | 2307.LLM Guardrails Spec Specify the safety and reliability guardrails for an LLM feature before it ships. | mohitagw15856/ | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 2308 | Choose the right LLM for a task by trading off quality, cost, latency, and constraints. | mohitagw15856/ | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 2309 | Write a structured project status report for any project. An agent skill from mohitagw15856/pm-claude-skills. | mohitagw15856/ | 1.4k | — | ~954 | Automated safety check: Pass | MIT | 2 days ago |
| 2310 | Build a personal library of reusable prompts for the things you ask AI again and again — so you stop rewriting the same request from scratch. | mohitagw15856/ | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 2311 | 2311.Prompt Optimizer Diagnose and rewrite an underperforming LLM prompt so it produces reliable, well-structured output. | mohitagw15856/ | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 2312 | Review an existing Retrieval-Augmented Generation system and find why it underperforms. | mohitagw15856/ | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 2313 | 2313.RAG Design Doc Design a Retrieval-Augmented Generation system end to end. An agent skill from mohitagw15856/pm-claude-skills. | mohitagw15856/ | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 2314 | 2314.Rewards Optimizer Figure out the best card or payment route for a purchase (or your everyday spending) to maximize cashback/points — without overspending or drowning in complexity. | mohitagw15856/ | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 2315 | Build a staff shift schedule that matches coverage to demand while hitting a labor-cost target. | mohitagw15856/ | 1.4k | — | ~729 | Automated safety check: Pass | MIT | 2 days ago |
| 2316 | 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 | 2 days ago |
| 2317 | 2317.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 | 2 days ago |
| 2318 | 2318.Model Card Document a deployed ML/AI model so others can use it responsibly. | mohitagw15856/ | 1.4k | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |
| 2319 | 2319.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 |
| 2320 | 2320.Cost Optimizer Ultimate cost optimization toolkit for OpenClaw/Claude Code. | LeoYeAI/ | 2.2k | — | ~3.3k | Automated safety check: Notes | MIT | 2 mo ago |
| 2321 | 2321.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 |
| 2322 | 2322.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 |
| 2323 | 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 |
| 2324 | 2324.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 |
| 2325 | 2325.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 |
| 2326 | 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 |
| 2327 | 2327.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 |
| 2328 | 2328.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 |
| 2329 | 2329.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 |
| 2330 | 2330.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 |
| 2331 | 2331.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 |
| 2332 | 2332.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 |
| 2333 | 2333.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 |
| 2334 | 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 |
| 2335 | 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 |
| 2336 | 2336.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 |
| 2337 | 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 |
| 2338 | 2338.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 |
| 2339 | 2339.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 |
| 2340 | 2340.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 |
| 2341 | 2341.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 |
| 2342 | 2342.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 |
| 2343 | 2343.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 |
| 2344 | 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 |
| 2345 | 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 |
| 2346 | 2346.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 |
| 2347 | 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 |
| 2348 | 2348.Repo Development A skill your agent uses when modifying PEFT itself, preparing a PEFT pull request, adding a new PEFT method, selecting contributor tests, or checking PEFT contribution/style/backward-compatibility… | VectorSpaceLab/ | 331 | — | ~746 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2349 | A skill your agent uses for sentence-transformers CrossEncoder pair scoring, reranking, rank API usage, retrieve-and-rerank handoffs, multimodal reranker routing, and activation/softmax/numlabels… | VectorSpaceLab/ | 331 | — | ~807 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2350 | 2350.Routing Use this when configuring, validating, or debugging LiteLLM Router model groups, fallbacks, retries, cooldowns, budgets, routing strategies, health-check routing, aliases, tag filtering… | VectorSpaceLab/ | 331 | — | ~879 | Automated safety check: Pass | Unknown | 1 mo ago |
| 2351 | 2351.SDK Core A skill your agent uses for direct LiteLLM Python SDK work: chat/text completions, async calls, streaming, embeddings, structured outputs, tools, token/cost checks, caching, callbacks, import/smoke… | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 2352 | 2352.Self Supervised A skill your agent uses for PaddleViT's DINO self-supervised vision-transformer pretraining, multi-crop data contracts, teacher/student configuration, single- or multi-GPU launch planning… | VectorSpaceLab/ | 331 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |