Ray Train Distributed Training
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.
Build tensorflow model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-model-trainer --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/07-ml-training/tensorflow-model-trainer .claude/skills/tensorflow-model-trainer && 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 "tensorflow-model-trainer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainer into .claude/skills/tensorflow-model-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-model-trainer", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainerType 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 jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-model-trainer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/07-ml-training/tensorflow-model-trainer .agents/skills/tensorflow-model-trainer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tensorflow-model-trainer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainer into .agents/skills/tensorflow-model-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-model-trainer", 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 jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-model-trainer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/07-ml-training/tensorflow-model-trainer .cursor/skills/tensorflow-model-trainer && 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 "tensorflow-model-trainer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainer into .cursor/skills/tensorflow-model-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-model-trainer", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/07-ml-training/tensorflow-model-trainer--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 jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-model-trainer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/07-ml-training/tensorflow-model-trainer .gemini/skills/tensorflow-model-trainer && 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 "tensorflow-model-trainer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainer into .gemini/skills/tensorflow-model-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-model-trainer", 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 jeremylongshore/tons-of-skills-marketplace tensorflow-model-trainerInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/07-ml-training/tensorflow-model-trainer .github/skills/tensorflow-model-trainer && 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 "tensorflow-model-trainer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainer into .github/skills/tensorflow-model-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-model-trainer", 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 jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-model-trainer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/07-ml-training/tensorflow-model-trainer .opencode/skills/tensorflow-model-trainer && 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 "tensorflow-model-trainer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorflow-model-trainer into .opencode/skills/tensorflow-model-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-model-trainer", 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.
tensorflow-model-trainerBuild tensorflow model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Tensorflow Model Trainer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build tensorflow model trainer operations. Auto-activating skill for ML Training. Triggers on: tensorflow model trainer, tensorflow model trainer Part of the ML Training skill category. Use when working with tensorflow model trainer functionality. Trigger with phrases like "tensorflow model trainer", "tensorflow trainer", "tensorflow".
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in AI & LLM Engineering, covering Deep learning. It works with TensorFlow. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(python:*)Bash(pip:*)From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Tensorflow Model Trainer loads about 580 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 197 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); files beside SKILL.md are not scanned.
The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 197 words, ~580 tokens.
.claude/skills/tensorflow-model-trainer/SKILL.md (or your agent's skills folder).This skill provides automated assistance for tensorflow model trainer tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with tensorflow model trainer" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/07-ml-training/tensorflow-model-trainer of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit 80f86df
Tensorflow Model Trainer 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 |
|---|---|---|---|---|---|---|
| Tensorflow Model Trainer this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~580 | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| TensorBoard Training VisualizationOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~3.8k | Automated safety check: Pass | MIT | |
| ML Engineerdavila7/claude-code-templates | 32k | 9 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Senior ML Engineerdavila7/claude-code-templates | 32k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Technology Selectiondotnet/skills | 5.6k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
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.
Orchestra-Research/AI-Research-SKILLs
Covers logging and viewing training metrics, histograms, model graphs, embeddings and profiles with TensorBoard in PyTorch and TensorFlow projects.
davila7/claude-code-templates
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks.
davila7/claude-code-templates
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems.
dotnet/skills
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…
nodetool-ai/nodetool
Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Build tensorflow model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Tensorflow Model Trainer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build tensorflow model trainer operations.
Tensorflow Model Trainer fits situations like: : tensorflow model trainer; tensorflow model trainer Part of the ML Training skill category; working with tensorflow model trainer functionality; with phrases like tensorflow model trainer.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a claude-code`. Or copy the skill folder (skills/07-ml-training/tensorflow-model-trainer in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/tensorflow-model-trainer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a codex`. Or copy the skill folder (skills/07-ml-training/tensorflow-model-trainer in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/tensorflow-model-trainer 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 jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tensorflow-model-trainer, .gemini/skills/tensorflow-model-trainer, .github/skills/tensorflow-model-trainer and .opencode/skills/tensorflow-model-trainer in your project.
SKILL.md names no scripts, command-line tools or credentials: Tensorflow Model Trainer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(python:*), Bash(pip:*). Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. Review the folder before installing.
Tensorflow Model Trainer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 580 tokens (SKILL.md is roughly 2.3k 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 Tensorflow Model Trainer: Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), TensorBoard Training Visualization (Orchestra-Research/AI-Research-SKILLs, 13k stars), ML Engineer (davila7/claude-code-templates, 32k stars) and Senior ML Engineer (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.