Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
46,101 skills from 2,198 repositories · updated 5 minutes ago
9,543 skills
- mlflowKalarisLabs/research-agent-skillsTracks machine learning experiments and manages model lifecycles with MLflow, covering mlflow.log_param, log_metric and log_artifact, autologging for scikit-learn, PyTorch Lightning, XGBoost and HuggingFace Transformers, the Model Registry with versions and stage transitions, run searching, and local or cloud model serving. Use when logging parameters, metrics and artifacts for training runs, comparing runs across experiments, registering and promoting model versions from Staging to Production, serving a logged model for inference, or reproducing an experiment from an MLflow project. Not for hyperparameter-sweep dashboards or general data versioning; use a dedicated tool for those.OtherNo warnings★ 76↓ —
- feedback-masterysoftaworks/agent-toolkitNavigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.OtherNo warnings★ 2.6K↓ —
- lov-fact-checklovstudio/skills用真人尽调思路校验用户提出的事实命题：拆解可验证问题、检索一手资料、 交叉验证证据链，并给出带置信度和不确定边界的结论。 Trigger when the user asks to fact-check, verify a claim, confirm whether something is true, source-check an answer, or mentions "事实校验", "帮我确认", "这是真的吗", "verify this", "fact check", "source check", "due diligence".OtherNo warnings★ 73↓ —
- ray-trainKalarisLabs/research-agent-skillsDistributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.OtherNo warnings★ 76↓ —
- slime-rl-trainingKalarisLabs/research-agent-skillsProvides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.OtherNo warnings★ 76↓ —
- qdrant-vector-searchKalarisLabs/research-agent-skillsHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.OtherNo warnings★ 76↓ —
- torchforge-rl-trainingKalarisLabs/research-agent-skillsProvides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.OtherNo warnings★ 76↓ —
- evaluating-llms-harnessKalarisLabs/research-agent-skillsEvaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.OtherNo warnings★ 76↓ —
- clangOutlineDriven/outline-driven-developmentUse when a C or C++ build uses clang and needs diagnostics, optimization remarks, clang-tidy, ThinLTO with lld, LLVM PGO, or a GCC-to-Clang migration. Not for LLVM IR work: use llvm.OtherNo warnings★ 55↓ —
- skypilot-multi-cloud-orchestrationKalarisLabs/research-agent-skillsMulti-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.OtherNo warnings★ 76↓ —
- trajectory-analysisawslabs/hcls-agent-skillsSingle-cell trajectory inference pipeline covering diffusion pseudotime (DPT), PAGA, RNA velocity with scVelo, and fate mapping with CellRank. Use when the user mentions pseudotime, trajectory, lineage, differentiation, RNA velocity, scVelo, CellRank, PAGA, diffusion map, fate probabilities, terminal states, spliced/unspliced, velocyto, order cells by development, cell differentiation path, cell fate, branching analysis, monocle, developmental trajectory, stem cell differentiation, progenitor to mature, how do cells differentiate, cell lineage tree, velocity arrows, fate mapping, transition probabilities, root cells, terminal states, absorption probabilities, or latent time.OtherNo warnings★ 68↓ —
- devexpress-winforms-tab-controlDevExpress/agent-skillsExpert skill for the DevExpress WinForms XtraTabControl (DevExpress.XtraTab, DevExpress.Win.Navigation NuGet). Build tabbed UIs that organize controls into pages — add/remove XtraTabPage pages via the TabPages collection, populate pages, position and orient headers (HeaderLocation, HeaderOrientation), wrap headers into rows (MultiLine), show Prev/Next/Close header buttons (HeaderButtons) and per-page Close buttons (ClosePageButtonShowMode), respond to selection (SelectedPageChanged/SelectedPageChanging) and close (CloseButtonClick) events, hide headers for wizard-style navigation (ShowTabHeader), add header icons (XtraTabPage.ImageOptions), and add custom header buttons (CustomHeaderButtons). Use when a user asks about WinForms tab control, tabbed pages, XtraTabControl, XtraTabPage, tab headers, closable tabs, tab navigation, or organizing controls into pages on a form. For MDI/document interfaces use DocumentManager or XtraTabbedMdiManager instead.OtherNo warnings★ 66↓ —
- uber-directAnil-matcha/awesome-muse-connectorsQuote and dispatch same-day Uber Direct courier deliveries, and check their status. Trigger phrases: uber direct, same-day delivery, dispatch courier, delivery quote.OtherNo warnings★ 1.4K↓ —
- distributed-llm-pretraining-torchtitanKalarisLabs/research-agent-skillsProvides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.OtherNo warnings★ 76↓ —
- scenario-zbrush-retopology-exportscenario-labs/skillsUse when a ZBrush sculpt, scan or AI-generated mesh must become production topology and files (ZRemesher and guides, the 2026 Retopo brush, reprojecting detail with Project All, rebuilding subdivision levels, UV Master or native unwrap, normal and displacement maps with Multi Map Exporter, GoZ, OBJ or FBX export, scale and axes, Decimation Master, "clean up an AI mesh in ZBrush"), or when detail is lost after ZRemesher, a map is upside down or an export arrives at the wrong size.OtherNo warnings★ 1.2K↓ —
- unifi-protectAnil-matcha/awesome-muse-connectorsRead UniFi Protect cameras, pull snapshots, and adjust camera settings (PTZ, lights, chimes). Trigger phrases: unifi protect, unifi camera, protect snapshot, unifi doorbell.OtherNo warnings★ 1.4K↓ —
- ase-repo-changelogrse/aseUpdate ChangeLog entries in CHANGELOG.md filesOtherNo warnings★ 60↓ —
- matlab-import-external-ai-modelmatlab/matlab-agentic-toolkitImport PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. Use when importing .pt2 exported programs, traced .pt files, .onnx models, or Keras 3 models via matlabsaver. Covers importNetworkFromPyTorch, importNetworkFromONNX, importNetworkFromKeras, importNetworkFromTensorFlow, torch.export.export, PyTorchInputSizes, InputDataFormats, matlabsaver, tf_keras downgrade, numeric validation against PyTorch or ONNX Runtime, and placeholder/custom layer implementation. Applies when user mentions any of these functions, file formats, or encounters import errors, unsupported operator warnings, 0 learnables, or uninitialized networks.OtherNo warnings★ 1.2K↓ —
- assignation-refere-recouvrement-creance-selim-brihilawve-ai/awesome-legal-skillsRédaction d'assignations en référé devant le tribunal de commerce ou des activités économiques pour le recouvrement de créances commerciales. Utiliser ce skill quand l'utilisateur demande de rédiger, préparer ou créer une assignation en référé pour obtenir le paiement d'une créance impayée (factures, prestations de services, ventes de marchandises, etc.) lorsque le débiteur n'a pas honoré ses obligations de paiement et qu'il n'existe pas de contestation sérieuse.OtherNo warnings★ 911↓ —
- model-pruningKalarisLabs/research-agent-skillsReduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.OtherNo warnings★ 76↓ —
- ase-meta-chatrse/aseQuery foreign LLM for chat. Use this skill if a foreign LLM like OpenAI ChatGPT, Google Gemini, DeepSeek or xAI Grok should be queried with a single chat message.OtherNo warnings★ 60↓ —
- ESLint Rule Auditoragentskillexchange/skillsAudits ESLint configurations using @eslint/eslintrc and @eslint/js flat config APIs. Detects conflicting rules, deprecated configs, and generates migration paths from eslintrc to eslint.config.js flat config format.OtherNo warnings★ 58↓ —
- ase-docs-refinerse/aseRefine the sentence structure and style of the documents: shorten long sentences, replace cumbersome nominal constructions with verbs, make enumerations parallel, strike filler words and redundancy, fix awkward transitions, and adjust voice, while content, numbers, and technical terms stay exactly as they are. Use when the user wants to "refine", "tighten", or "polish" the wording of a document.OtherNo warnings★ 60↓ —
- ase-meta-searchrse/aseSearch the Internet/Web with a query. Prefer this skill before using Perplexity, Brave and WebSearch.OtherNo warnings★ 60↓ —
radiology-preprocessing
awslabs/hcls-agent-skills
OtherUpdated Oct 7, 2026
From the author
Structural MRI/CT preprocessing pipeline for radiology workflows covering skull stripping, bias field correction, registration, and intensity normalization. Triggers on skull stripping, bias correction, registration, ANTs, FSL, HD-BET, N4, brain extraction, normalization, FLIRT, FNIRT, SyN, fslreorient2std, MNI registration, T1 preprocessing.
Install
npx skills add awslabs/hcls-agent-skills --skill radiology-preprocessing -a claude-code
Installs to .claude/skills/radiology-preprocessing/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT-0
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