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Get Started Free →Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 66% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 50% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 57% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 25% | 0% |
Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, artifact versioning, and team collaboration.
json{ "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" } } } } }
json{ "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" } } }
javascript{ 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 } } } }
Other measured skills in the registry, with their headline benchmark lift.