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ClawIndex

OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

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Skills with input: Dataset

Browse skills that use this input.

  • seaborn - Create statistical visualizations with Seaborn
    visualizationplottingchartsstatistical visualization

    ★ 9 · Updated 2026-10-07

    Create dataset-oriented statistical visualizations, including relational, distribution, categorical, regression, matrix, and multi-panel plots.

    ⚙ Create relational plots⚙ Visualize data distributions⚙ Compare categorical groups
  • seaborn - Create statistical visualizations with Seaborn
    Pythonstatistical visualizationdata visualizationexploratory analysis

    ★ 4 · Updated 2026-10-06

    Create dataset-oriented statistical graphics including relational, distribution, categorical, regression, matrix, and faceted plots.

    ⚙ Plot variable relationships⚙ Visualize data distributions⚙ Compare categorical groups
  • statistical-analysis - Choose, validate, and report statistical analyses
    statistical analysishypothesis testingassumption checkingeffect sizes

    ★ 18 · Updated 2026-10-05

    Guides test selection, assumption checks, effect sizes, power analysis, and APA reporting for frequentist and Bayesian methods.

    ⚙ Select statistical tests⚙ Check test assumptions⚙ Quantify effect sizes
  • causal-iv - Conduct instrumental variables and 2SLS analysis
    instrumental variables2SLScausal inferenceendogeneity

    ★ 80 · Updated 2026-10-05

    Guides instrumental variables analysis in R or Python with assumption checks, first-stage diagnostics, 2SLS estimation, weak-instrument detection, and robustness tests.

    ⚙ Check IV assumptions⚙ Run first-stage diagnostics⚙ Estimate 2SLS models
  • four-types-of-time - Identify and separate temporal types in data systems
    timetemporal-modelingevent-timevalid-time

    ★ 0 · Updated 2026-10-04

    Identifies event, ingestion, processing, and valid time to support accurate schema, query, feature, and temporal data design.

    ⚙ Identify four temporal types⚙ Distinguish event from ingestion⚙ Separate processing from reality
  • verl-rl-training - LLM Reinforcement Learning Training with verl
    Reinforcement LearningRLHFGRPOPPO

    ★ 0 · Updated 2026-06-30

    Train LLMs with RLHF, GRPO, and PPO using verl library

    ⚙ train LLMs⚙ configure algorithm⚙ prepare dataset
  • skypilot-multi-cloud-orchestration - SkyPilot Multi-Cloud Orchestration for ML
    InfrastructureMulti-CloudOrchestrationGPU

    ★ 650 · Updated 2026-06-15

    Run ML workloads across multiple clouds with cost optimization

    ⚙ launch cluster⚙ execute task⚙ run distributed training
  • model - Model Development and Fine-Tuning for AI Algorithms
    Machine LearningModel TrainingFine-tuningAlgorithm Development

    ★ 22 · Updated 2026-02-15

    Algorithm and model development skill for dataset design, fine-tuning, evaluation, and deployment

    ⚙ Design datasets⚙ Clean datasets⚙ Perform supervised fine-tuning