PyTorch Lightning Training
Orchestra-Research/AI-Research-SKILLs
Shows how to organize PyTorch training with Lightning's LightningModule and Trainer, covering validation, DDP, callbacks and learning-rate scheduling.
Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/.
$ npx skills add comet-ml/comet-examples --skill scaffold-example -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install comet-ml/comet-examples scaffold-example --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/comet-ml/comet-examples.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scaffold-example .claude/skills/scaffold-example && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scaffold-example" agent skill from https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-example into .claude/skills/scaffold-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-example", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-exampleType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add comet-ml/comet-examples --skill scaffold-example -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install comet-ml/comet-examples scaffold-example --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comet-ml/comet-examples.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scaffold-example .agents/skills/scaffold-example && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scaffold-example" agent skill from https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-example into .agents/skills/scaffold-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-example", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add comet-ml/comet-examples --skill scaffold-example -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install comet-ml/comet-examples scaffold-example --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comet-ml/comet-examples.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scaffold-example .cursor/skills/scaffold-example && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scaffold-example" agent skill from https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-example into .cursor/skills/scaffold-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-example", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/comet-ml/comet-examples.git --path .claude/skills/scaffold-example--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add comet-ml/comet-examples --skill scaffold-example -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install comet-ml/comet-examples scaffold-example --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comet-ml/comet-examples.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scaffold-example .gemini/skills/scaffold-example && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scaffold-example" agent skill from https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-example into .gemini/skills/scaffold-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-example", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install comet-ml/comet-examples scaffold-exampleInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add comet-ml/comet-examples --skill scaffold-example -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/comet-ml/comet-examples.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scaffold-example .github/skills/scaffold-example && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scaffold-example" agent skill from https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-example into .github/skills/scaffold-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-example", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add comet-ml/comet-examples --skill scaffold-example -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install comet-ml/comet-examples scaffold-example --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comet-ml/comet-examples.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scaffold-example .opencode/skills/scaffold-example && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scaffold-example" agent skill from https://github.com/comet-ml/comet-examples/tree/master/.claude/skills/scaffold-example into .opencode/skills/scaffold-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-example", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scaffold-exampleScaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/.
Scaffold Example is an agent skill from comet-ml/comet-examples. Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/. Use whenever the user wants to create, add, or start a new example, demo, or integration on Comet — phrasings like "add a Comet example for X", "scaffold an integration example", "create a new example for <framework", "start a hello-world for <library", "set up a new example project". Do NOT hand-build the folder structure or copy files manually — this skill stamps out the example and renames it…
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/scaffold.py`).
It sits in AI & LLM Engineering, covering File organization, Deep learning and Machine learning. It works with Python. The repository describes itself as: Examples of Machine Learning code using Comet.ml.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b37756c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvpythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
COMET_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scaffold Example loads about 1k tokens when it runs. Until then it costs about 161 tokens; SKILL.md has 395 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 395 words (~1,026 tokens).
“This repo has one canonical example shape, a real, runnable template under templates/integration-example/: a uv project (pyproject.toml), a single comet_ml script (example_integration.py), and a README in the house structure (Title → Documentation → See it → Setup → Run the…”
SKILL.md and 1 other file (scripts) in .claude/skills/scaffold-example of comet-ml/comet-examples.
Open the folder on GitHubat commit b37756c
Scaffold Example next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scaffold Example this skillcomet-ml/comet-examples | 175 | — | ~1k | Automated safety check: Pass | None | |
| PyTorch Lightning TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | |
| PyHealth Clinical ML Toolkitdavila7/claude-code-templates | 32k | 12 repos | ~4.4k | Automated safety check: Pass | MIT | |
| Scikit Learn Machine Learningjaechang-hits/SciAgent-Skills | 370 | 1 repos | ~4k | Automated safety check: Pass | BSD-3-Clause | |
| Deep Learningericrisco/rsc-harness | 156 | — | ~3.4k | Automated safety check: Pass | MIT |
Orchestra-Research/AI-Research-SKILLs
Shows how to organize PyTorch training with Lightning's LightningModule and Trainer, covering validation, DDP, callbacks and learning-rate scheduling.
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
davila7/claude-code-templates
Builds machine learning pipelines on clinical data with PyHealth: EHR datasets, prediction tasks, medical code mapping, healthcare models and evaluation.
jaechang-hits/SciAgent-Skills
Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines.
ericrisco/rsc-harness
A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO…
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Works with
Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/. Scaffold Example is an agent skill from comet-ml/comet-examples. Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/.
Scaffold Example fits situations like: the user wants to create; start a new example; integration on Comet — phrasings like add a Comet example for X; scaffold an integration example.
Run `npx skills add comet-ml/comet-examples --skill scaffold-example -a claude-code`. Or copy the skill folder (.claude/skills/scaffold-example in comet-ml/comet-examples) into .claude/skills/scaffold-example in your project. Claude Code loads it when a task matches its description.
Run `npx skills add comet-ml/comet-examples --skill scaffold-example -a codex`. Or copy the skill folder (.claude/skills/scaffold-example in comet-ml/comet-examples) into .agents/skills/scaffold-example in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add comet-ml/comet-examples --skill scaffold-example -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scaffold-example, .gemini/skills/scaffold-example, .github/skills/scaffold-example and .opencode/skills/scaffold-example in your project.
Going by SKILL.md and its folder, Scaffold Example needs Python for the scripts in its folder, the command-line tools its instructions call (uv and python) and credentials named COMET_API_KEY. Our summary lists: Python 3; A credential in COMET_API_KEY.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Scaffold Example or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Scaffold Example: PyTorch Lightning Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), PyHealth Clinical ML Toolkit (davila7/claude-code-templates, 32k stars) and Scikit Learn Machine Learning (jaechang-hits/SciAgent-Skills, 370 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
comet-ml (a GitHub organization) maintains it in comet-ml/comet-examples, which has 175 GitHub stars. The repository was last updated on August 12, 2026.
Source: comet-ml/comet-examples on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.