Monitor and analyze Weights & Biases training runs. Use when checking training status, detecting failures, analyzing loss curves, comparing runs, or monitoring experiments. Triggers on "wandb", "training runs", "how's training", "did my run finish", "any failures", "check experiments", "loss curve", "gradient norm", "compare runs".
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install wandb-monitorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install wandb-monitorβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/wandb-monitor/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Weights & Biases Monitor can do for your AI workflow
Weights & biases training runs directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,788+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Weights & Biases Monitor
Help me get started with Weights & Biases Monitor
Explains what Weights & Biases Monitor does, walks through the setup, and runs a quick demo based on your current project
Use Weights & Biases Monitor to monitor and analyze Weights & Biases training runs
Invokes Weights & Biases Monitor with the right parameters and returns the result directly in the conversation
What can I do with Weights & Biases Monitor in my developer & devops workflow?
Lists the top use cases for Weights & Biases Monitor, with example commands for each scenario
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Weights & Biases Monitor extends your AI assistant with the ability to monitor and analyze Weights & Biases training runs. Use when checking training status, detecting failures, analyzing loss curves, comparing runs, or monitoring experiments. Triggers on "wandb", "training runs", "how's training", "did my run finish", "any failures", "check experiments", "loss curve", "gradient norm", "compare runs". Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Weights & Biases Monitor as its underlying capability.
Weights & Biases Monitor works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Weights & Biases Monitor once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Weights & Biases Monitor takes about two minutes. Place the skill at `~/.claude/skills/wandb-monitor/` (personal, all projects) or `.claude/skills/wandb-monitor/` (project-specific), then restart your AI client. From that point, typing `/wandb-monitor` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Weights & Biases Monitor has been installed 1,788 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/wandb-monitor/ for personal use (all projects), or .claude/skills/wandb-monitor/ for project-specific use. Restart your AI client, then invoke with /wandb-monitor or let the AI discover it automatically.
Weights & Biases Monitor supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Weights & Biases Monitor is free to install. Check the repository for licensing information.
Monitor and analyze Weights & Biases training runs. Use when checking training status, detecting failures, analyzing loss curves, comparing runs, or monitoring experiments. Triggers on "wandb", "training runs", "how's training", "did my run finish", "any failures", "check experiments", "loss curve", "gradient norm", "compare runs".
Monitoring
Set up observability for applications and infrastructure with metrics, logs, traces, and alerts.
Monitor
Create monitors for anything. User defines what to check, skill handles scheduling and alerts.
Monitor X posts
Monitor specific X/Twitter accounts and surface noteworthy tweets on a configurable schedule. Filters for high-value content about technology and trends, excluding political rage bait. Use when user wants to manage their X account list, run a manual check, or update filtering criteria.
Automate my developer & devops tasks using Weights & Biases Monitor
Identifies repetitive steps in your workflow and sets up Weights & Biases Monitor to handle them automatically
Weights & Biases Monitor is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
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Generate copy-paste bash scripts for Ralph Wiggum/AI agent loops (Codex, Claude Code, OpenCode, Goose). Use when asked for a "Ralph loop", "Ralph Wiggum loop", or an AI loop to plan/build code via PROMPT.md + AGENTS.md, SPECS, and IMPLEMENTATION_PLAN.md, including PLANNING vs BUILDING modes, backpressure, sandboxing, and completion conditions.