wandb-training
How to launch ANY model training or evaluation so it is correctly logged to Weights & Biases (wandb).
Skill by max-a-ai
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/max-a-ai-wandb-training
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/wandb-training
What's inside
- Skill name
wandb-training- Description
- How to launch ANY model training or evaluation so it is correctly logged to Weights & Biases (wandb). Use whenever starting, queuing, or scripting a training/eval run (e.g. main.py, training queues, sweeps), or when a run is "not showing up in wandb". Encodes the hard rule: never train without wandb logging.
- License
- unknown
- Instructions
- 75 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Agent Skills spec issues
- body: contains an absolute path from the author's machine
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/max-a-ai/claude-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from max-a-ai
- 0.565score
general-codebase-structure
max-a-ai
The canonical directory tree every repository has, and the audit that checks a repo against it.
SkillAFreshness: AClaude Code +9 - 0.565score
paper-notes
max-a-ai
Turn an Obsidian reading note full of PDF highlights into an Excerpt and concise bullet notes.
SkillAFreshness: AClaude Code +9 - 0.559score
tick-it
max-a-ai
Run and report one monitoring tick on the full hour — collect cluster state, regenerate the overview, republish it, and report in the fixed tick layout (clock…
SkillAFreshness: AClaude Code +9 - 0.559score
general-codebase
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Whole-lifecycle engineering-rules auditor and gate.
SkillAFreshness: AClaude Code +9 - 0.559score
python-project-init
max-a-ai
Scaffold a new Python project with UV + hatchling + ruff/mypy (strict), the flat package layout (repo/<module>/ with fixed subpackages), the .docs/ tree…
SkillAFreshness: AClaude Code +9 - 0.559score
run-monitoring
max-a-ai
Watch long-running jobs you do not control (Slurm/cluster trainings, sweeps, evals) and report them as an HTML scoreboard artifact.
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Cite this page
wandb-training skill. Agent Mart. https://agentmart.dev/skills/max-a-ai-wandb-training (last updated 2026-10-24)