weights-and-biases Skill
W&B: log ML experiments, sweeps, model registry, dashboards. Published by NousResearch in hermes-agent.
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Developers using hermes-agent, Includes SKILL.md, Reusable instructions
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1 month ago · MIT license
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What is weights-and-biases Skill?
W&B: log ML experiments, sweeps, model registry, dashboards. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using hermes-agent
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: skills/mlops/evaluation/weights-and-biases/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use weights-and-biases Skill
- Use it for developers using hermes-agent.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: skills/mlops/evaluation/weights-and-biases/SKILL.md
What it does
W&B: log ML experiments, sweeps, model registry, dashboards.
Skill instructions
Weights & Biases: ML Experiment Tracking & MLOps When to Use This Skill Use Weights & Biases (W&B) when you need to: - Track ML experiments with automatic metric logging - Visualize training in real-time dashboards - Compare runs across hyperparameters and configurations - Optimize hyperparameters with automated sweeps - Manage model registry with versioning and lineage - Collaborate on ML projects with team workspaces - Track artifacts (datasets, models, code) with lineage Users: 200,000+ ML practitioners | GitHub Stars: 10.5k+ | Integrations: 100+ Installation bash Install W&B pip install wandb Login (creates API key) wandb login Or set API key programmatically export WANDBAPIKEY=yourapikeyhere Quick Start Basic Experiment Tracking python import wandb Initialize a run run = wandb.init( project="my-project", config={ "learningrate": 0.001, "epochs": 10, "batchsize": 32, "architecture": "ResNet50" } ) Training loop for epoch in range(run.config.epochs): Your training code trainloss = t
Verified compatibility and discovery
Frequently asked questions
What is weights-and-biases?
weights-and-biases is a open-source AI agent skill with Copy skill directory. W&B: log ML experiments, sweeps, model registry, dashboards.
Who is weights-and-biases best for?
weights-and-biases is best for reusing agent instructions, scripts, and references.
How do I install weights-and-biases?
Install or run weights-and-biases using Copy skill directory. Check weights-and-biases for the latest setup command.
Is weights-and-biases actively maintained?
weights-and-biases may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
