wandb-experiment-tracker
Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
npx skills add a5c-ai/babysitter --skill wandb-experiment-tracker --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ```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" } } }, "logD
- Overview
- Capabilities
- Target Processes
- Tools and Libraries
- Input Schema
- Output Schema
- Usage Example
What does the wandb-experiment-tracker skill do?
Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill wandb-experiment-tracker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.