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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 2353 | Build and review OpenRLHF supervised/preference training plans for SFT, reward models, DPO, IPO, and cDPO. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2354 | 2354.Swin Transformer Use this repo skill for Microsoft Swin-Transformer image-classification model, config, data, checkpoint, SimMIM, Swin-MoE, and optional CUDA acceleration workflows. | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 2355 | 2355.Tools And Actions Build and debug Browser Use tools/actions: custom Tools/Controller actions, default browser/file actions, ActionResult returns, parameter injection, sensitive data, security guardrails, and… | VectorSpaceLab/ | 331 | — | ~2.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 2356 | Use this sub-skill when defining, validating, sharing, loading, or troubleshooting smolagents tools, built-in/default tools, Hub/Space/LangChain integrations, or MCP tool collections. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2357 | 2357.Tools Studio Bench A skill your agent uses for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and… | VectorSpaceLab/ | 331 | — | ~910 | Automated safety check: Pass | Unknown | 1 mo ago |
| 2358 | 2358.Torch Points3d Use Torch Points3D for point-cloud deep learning APIs, datasets/transforms, Hydra training/evaluation, checkpoints, sparse backend decisions, and registration workflows. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 2359 | 2359.Torchmetrics Use TorchMetrics to choose, inspect, and combine metric families for PyTorch evaluation, including core API, domain metrics, model-based metrics, and wrappers. | VectorSpaceLab/ | 331 | — | ~964 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2360 | 2360.Torchrl Use TorchRL for TensorDict-first reinforcement-learning environments, collectors, replay buffers, modules, objectives, LLM/RLHF/VLA workflows, services, rendering, and maintainer-safe repository… | VectorSpaceLab/ | 331 | — | ~1.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 2361 | A skill your agent uses for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and… | VectorSpaceLab/ | 331 | — | ~871 | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 2362 | Train or fine-tune ColBERT models, prepare and validate triples, use scored distillation examples, and plan GPU/resource settings. | VectorSpaceLab/ | 331 | — | ~850 | Automated safety check: Pass | MIT | 1 mo ago |
| 2363 | A skill your agent uses for ModelScope trainer construction, TrainingArgs conversion, fine-tuning and evaluation preflight, checkpoint hooks, and safe train/eval command planning. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2364 | 2364.Training And Models Use Towhee's optional PyTorch Trainer, TrainingConfig YAML, NNOperator training bridge, and towhee.models package boundaries safely. | VectorSpaceLab/ | 331 | — | ~676 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2365 | 2365.Training References A skill your agent uses when planning or auditing TorchVision reference training/evaluation workflows for classification, quantization, detection, segmentation, video classification, optical flow… | VectorSpaceLab/ | 331 | — | ~684 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 2366 | 2366.Training Workflows Compose timm API-level training loops with optimizer and scheduler factories, loss selection, task wrappers, EMA, AMP scaling, metrics, checkpoint state, and safe CPU smoke checks. | VectorSpaceLab/ | 331 | — | ~733 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2367 | 2367.Ultralytics A skill your agent uses for Ultralytics YOLO package workflows: CLI/Python model usage, data/config setup, train/val, prediction/results, export/deployment, tracking/solutions, model-family… | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 2368 | Use this sub-skill for MLAlgorithms clustering, Gaussian mixtures, PCA, t-SNE, RBM feature learning, metrics/distances, and packaged demo dataset loaders. | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 2369 | 2369.Video Camera Demos Guide safe video-file, webcam, and optional half-precision demo use for pytorch-yolo-v3. | VectorSpaceLab/ | 331 | — | ~626 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2370 | 2370.Phx Review Review changed Elixir/Phoenix code read-only. An agent skill from oliver-kriska/claude-elixir-phoenix. | oliver-kriska/ | 565 | — | ~1.1k | Automated safety check: Pass | MIT | 5 days ago |
| 2371 | 2371.Phx Review Review changed Elixir/Phoenix code read-only. An agent skill from oliver-kriska/claude-elixir-phoenix. | oliver-kriska/ | 565 | — | ~1.1k | Automated safety check: Pass | MIT | 5 days ago |
| 2372 | 2372.Phx Watch PR Watch an Elixir/Phoenix PR with an Amp Orb keep-alive lease until required non-deployment CI is green and review threads are resolved. | oliver-kriska/ | 565 | — | ~1k | Automated safety check: Pass | MIT | 5 days ago |
| 2373 | 2373.Gf Lint SystemVerilog lint checker with structured output for orchestration. | codejunkie99/ | 117 | — | ~1.5k | Automated safety check: Notes | Unknown | 24 days ago |
| 2374 | 2374.Gf Sim SystemVerilog simulator with structured output for orchestration. | codejunkie99/ | 117 | — | ~1.7k | Automated safety check: Notes | Unknown | 24 days ago |
| 2375 | 2375.Trusty Search Hybrid code search (BM25 + vector + KG) with RRF fusion. An agent skill from bobmatnyc/claude-mpm. | bobmatnyc/ | 156 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2376 | 2376.Config Authoring Create, modify, review, and harden configuration for the Adobe Dispatcher Apache HTTP Server module and Apache HTTPD in AEM as a Cloud Service environments only. | adobe/ | 197 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2377 | 2377.Workflow Development [BETA] Implement custom AEM Workflow Java components on AEM 6.5 LTS. | adobe/ | 197 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2378 | 2378.Workflow Development [BETA] Implement custom AEM Workflow Java components on AEM as a Cloud Service. | adobe/ | 197 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2379 | 2379.Brownfield Adoption Step-by-step process for adopting Cavekit on an existing codebase. | hashgraph-online/ | 1.3k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2380 | 2380.Complexity Detection Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself. | hashgraph-online/ | 1.3k | — | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2381 | 2381.Eval Quality and performance evaluation with baseline comparison. | hashgraph-online/ | 1.3k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2382 | 2382.Extracting Keywords A skill your agent uses when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. | hashgraph-online/ | 1.3k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2383 | 2383.Prompt Pipeline How to design the numbered prompt pipeline that drives Hunt phases in Cavekit. | hashgraph-online/ | 1.3k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2384 | 2384.RAG Engineer RAG workflow skill. An agent skill from diegosouzapw/awesome-omni-skills. | diegosouzapw/ | 159 | — | ~3.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 2385 | 2385.RAG Construction Build RAG systems for construction knowledge bases. An agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. | datadrivenconstruction/ | 345 | 1 repo | ~5.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 2386 | 2386.Apple Intelligence Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. | gustavscirulis/ | 116 | 1 repo | ~647 | Automated safety check: Notes | Unknown | 5 mo ago |
| 2387 | Recommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product map and a use-case→product map built from Datadog product capabilities and common… | datadog-labs/ | 177 | — | ~12k | Automated safety check: Pass | MIT | 2 days ago |
| 2388 | 2388.Prompt Engineering Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing. | spencerpauly/ | 844 | — | ~915 | Automated safety check: Pass | CC0-1.0 | 2 mo ago |
| 2389 | 2389.Deep Learning NLP Paddle-based deep learning workflows from the course materials, including DNN/RNN text-style baselines and the CNN/LeNet image classification case using folder-labeled digit images. | Drchronx/ | 139 | — | ~516 | Automated safety check: Pass | Unknown | 4 mo ago |
| 2390 | 2390.Sentiment Analysis Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls. | Drchronx/ | 139 | — | ~516 | Automated safety check: Pass | Unknown | 4 mo ago |
| 2391 | 2391.Text Analysis Basic Basic Chinese NLP and text analysis workflows for PDF text/table extraction, jieba tokenization, word and sentence frequency, word clouds, TF-IDF, Word2Vec, sentence embeddings, and text similarity. | Drchronx/ | 139 | — | ~737 | Automated safety check: Pass | Unknown | 4 mo ago |
| 2392 | 2392.Cache Codebase Caches a codebase to reduce token usage | kurealnum/ | 290 | — | ~817 | Automated safety check: Pass | No licence | 6 mo ago |
| 2393 | Guide for selecting the most appropriate foundation MLIP model based on simulation requirements. | learningmatter-mit/ | 176 | — | ~1.5k | Automated safety check: Pass | MIT | 3 days ago |
| 2394 | 2394.ML Generative Adit Generate novel crystal structures and molecules using ADiT (All-atom Diffusion Transformer), a unified latent diffusion model. | learningmatter-mit/ | 176 | — | ~1.4k | Automated safety check: Pass | MIT | 3 days ago |
| 2395 | 2395.Archon Interactive Archon integration for knowledge base and project management via REST API. | Microck/ | 404 | — | ~5k | Automated safety check: Pass | Unknown | 1 mo ago |
| 2396 | 2396.Dnd5e Srd Retrieval-augmented generation (RAG) skill for the D&D 5e System Reference Document (SRD). | Microck/ | 404 | — | ~1.8k | Automated safety check: Pass | Unknown | 1 mo ago |
| 2397 | 2397.Loop Recovery Structured recovery and escalation when an agent hits a retry loop. | ntorga/ | 146 | — | ~649 | Automated safety check: Pass | MIT | 28 days ago |
| 2398 | 2398.Implement Task Implement a task step by step with automated LLM-as-Judge verification at the end of each phase | NeoLabHQ/ | 1.8k | — | ~20k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 2399 | 2399.RAG Architect Design RAG pipelines: chunking, retrieval evaluation, and architecture. | borghei/ | 891 | — | ~1.8k | Automated safety check: Pass | MIT | 4 days ago |
| 2400 | 2400.Algo NLP Lda Implement LDA topic modeling to discover latent topics in document collections. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |