Agent skills

Data & Analytics skills

Read straight from the source repositories, not from submitted listings. Every skill shows what it does, what is inside, where it came from — and whether attention around its source is actually growing.

Toolclaude-code 29,140codex 4,755cursor 3,111copilot 976windsurf 55cline 34
CategoryWorkflow & Productivity 4,979AI & Agents 3,037Data & Analytics 2,345Code Review & Quality 1,376Backend & API 1,244Security 1,194Design & Presentation 1,154Documentation 965Content & Marketing 916Testing & QA 777DevOps & Cloud 576Databases 550Frontend 469Business & Finance 328Media & Video 257Other 9,833
4,693 found
1,9211,968 · page 41 / 98
mindshareMindshare tracking primitive using Kaito MCP tools. Use this skill to check mindshare trends for an entity or narrative. Triggers…majiayu000minimax-hailuo-videoUse MiniMax's first-party Hailuo video API safely and reproducibly across global and mainland-China platforms. Covers current…calesthiobio-small-rna-seq-mirdeep2-analysisDiscover novel miRNAs and quantify known miRNAs using miRDeep2 de novo prediction from small RNA-seq data. Use when identifying…majiayu000ml-data-leakage-guardDetects and prevents data leakage in machine learning and mathematical modeling. Auto-activates after ML tasks involving: data…majiayu000ml-engineerExpert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.majiayu000ml-model-retrainerAutomated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate…majiayu000ml-opsUse this skill when deploying ML models to production, setting up model monitoring, implementing A/B testing for models, or…majiayu000ml-pipeline-automationAutomate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or…majiayu000ml-pipeline-automationAutomate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or…majiayu000ml-pipelineCoordinate ML-related analysis work by defining the problem, identifying required data, planning extraction, analyzing results…majiayu000ml-pipelineSingle entry point for ML-related tasks. Orchestrates three roles across a data-driven analysis pipeline: Product Manager…majiayu000ml-pipeline-orchestratorOrchestrates complete machine learning pipelines within SpecWeave increments. Activates when users request "ML pipeline", "train…majiayu000ml-pipeline-workflowBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when…majiayu000ml-pipeline-workflowBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when…majiayu000ml-pipeline-workflowBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when…majiayu000ml-pipeline-workflowBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when…majiayu000ml-pipeline-workflowComplete end-to-end MLOps pipeline orchestration from data preparation through model deployment.majiayu000ml-system-designUse when designing end-to-end ML systems, choosing batch vs streaming inference, preventing training/serving skew, building data…majiayu000ml-system-designEnd-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructure, or…majiayu000mlflow-evaluationMLflow 3 GenAI evaluation for agent development. Use when (1) writing mlflow.genai.evaluate() code, (2) creating @scorer…majiayu000moai-domain-data-scienceProduction-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master data…majiayu000writesmoai-domain-data-scienceProduction-grade data science specialist with TensorFlow 2.20.0, PyTorch\ \ 2.9.0, \nScikit-learn 1.7.2 expertise. Master data…majiayu000Mobile AnalyticsMobile app analytics and crash reporting integrationa5c-aimodel-cardDocument a deployed ML/AI model so others can use it responsibly. Use when asked to write a model card, document a model's…majiayu000model-checkpoint-evaluatorWhen the user needs to evaluate multiple model checkpoints across various benchmarks to identify the best performing model based…majiayu000model-evaluationThis skill focuses on comprehensive evaluation of machine learning models across the entire ML lifecycle. It covers metric…majiayu000modelAlgorithm/model development and fine-tuning skill. Use for tasks like dataset design/cleaning, supervised fine-tuning (SFT)…majiayu000Model MonitoringMonitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflowmajiayu000model-trainerThis skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on…majiayu000Model TrainingModel training is the process of teaching machine learning models to make predictions or decisions based on data. This skill…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000model-usageUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or…majiayu000moonvalley-mareyProduce video with Moonvalley's Marey model family (Marey Realism v1.5) — a filmmaker-oriented, 1080p/24fps generative video…calesthiomosaic-ai-agentExpert guidance for building production-ready tool-calling agents with Databricks Mosaic AI Agent Framework. Use when users need…majiayu000bio-chipseq-motif-analysisDe novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding…majiayu000bio-atac-seq-motif-deviationAnalyze transcription factor motif accessibility variability using chromVAR. Use when identifying which TF motifs show variable…majiayu000motion-graphics-directionProvider-independent motion graphics direction for AI agents producing title sequences, lower thirds, explainer graphics, product…calesthiomove-ai-motion-captureUse this skill when planning, capturing, processing, validating, troubleshooting, or exporting markerless human motion capture…calesthiomteb-leaderboardGuidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). This skill applies when…majiayu000mtpyMagnetotelluric data processing and modelling. Read EDI files, analyze MT responses, perform inversions, and visualize…majiayu000multi-ai-researchParallel multi-AI cross-validation research workflow (大版本). Dispatch N internal sub-agents + grok + gemini in parallel…majiayu000multi-omics-integrationIntegrate multiple ENCODE data types (RNA-seq, ATAC-seq, Histone ChIP-seq, TF ChIP-seq) for a tissue/cell type to build a…majiayu000
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How the catalog works
What is an agent skill?

A folder with a SKILL.md inside — instructions, and often scripts and assets, that an AI agent loads when the task matches. Claude Code, Codex, Cursor and Copilot all read the same format, so one skill usually works across them.

Where does this catalog come from?

We read 660 source repositories straight from their file trees rather than from submitted listings — what you see is what is actually published. 98 repositories were rejected because they advertise skills but contain none: link lists, not folders.

Why is there no install counter?

Because install counts live in the registry that serves `npx skills add`, and that is not ours — publishing a number we cannot verify would be worse than showing none. Instead we show where a skill comes from and whether attention around its source is actually growing, measured from our own weekly snapshots.

Do you deduplicate?

Yes, and it matters more than expected. Aggregator repositories republish the same skill in several places — one source carried 6,317 SKILL.md files for 2,001 actual skills. We collapse by folder name and keep the canonical copy, so the catalog counts things, not copies.

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