wandb-experiment-tracker

Apps & Automation

Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/data-science-ml/skills/wandb-experiment-tracker/SKILL.md

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wandb-experiment-tracker

Overview

Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, artifact versioning, and team collaboration.

Capabilities

Experiment logging and visualization
Hyperparameter sweep configuration and execution
Artifact versioning and lineage tracking
Table and media logging (images, audio, video)
Team collaboration features
Report generation and sharing
Model registry integration
Custom visualization dashboards

Target Processes

Model Training Pipeline with Experiment Tracking
Experiment Planning and Hypothesis Testing
Model Evaluation and Validation Framework

Tools and Libraries

Weights & Biases (wandb)

Input Schema

{
  "type": "object",
  "required": ["action"],
  "properties": {
    "action": {
      "type": "string",
      "enum": ["init", "log", "sweep", "artifact", "alert", "report"],
      "description": "W&B action to perform"
    },
    "project": {
      "type": "string",
      "description": "W&B project name"
    },
    "runConfig": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "tags": { "type": "array", "items": { "type": "string" } },
        "notes": { "type": "string" },
        "config": { "type": "object" }
      }
    },
    "logData": {
      "type": "object",
      "properties": {
        "metrics": { "type": "object" },
        "step": { "type": "integer" },
        "commit": { "type": "boolean" }
      }
    },
    "sweepConfig": {
      "type": "object",
      "properties": {
        "method": { "type": "string", "enum": ["grid", "random", "bayes"] },
        "metric": { "type": "object" },
        "parameters": { "type": "object" }
      }
    },
    "artifactConfig": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "type": { "type": "string" },
        "path": { "type": "string" }
      }
    }
  }
}

Output Schema

{
  "type": "object",
  "required": ["status", "action"],
  "properties": {
    "status": {
      "type": "string",
      "enum": ["success", "error"]
    },
    "action": {
      "type": "string"
    },
    "runId": {
      "type": "string"
    },
    "runUrl": {
      "type": "string"
    },
    "sweepId": {
      "type": "string"
    },
    "artifactId": {
      "type": "string"
    },
    "artifactUrl": {
      "type": "string"
    }
  }
}

Usage Example

{
  kind: 'skill',
  title: 'Log training metrics to W&B',
  skill: {
    name: 'wandb-experiment-tracker',
    context: {
      action: 'log',
      project: 'ml-experiments',
      runConfig: {
        name: 'resnet-v1',
        tags: ['baseline', 'resnet'],
        config: { lr: 0.001, epochs: 100 }
      },
      logData: {
        metrics: { loss: 0.5, accuracy: 0.85 },
        step: 10
      }
    }
  }
}