Embedded AI Deployment
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
Agent skill
Tensorflow Savedmodel Creator
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Create tensorflow savedmodel creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Tensorflow Savedmodel Creator
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-savedmodel-creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-savedmodel-creator --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/08-ml-deployment/tensorflow-savedmodel-creator .claude/skills/tensorflow-savedmodel-creator && 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-savedmodel-creator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/tensorflow-savedmodel-creator into .claude/skills/tensorflow-savedmodel-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-savedmodel-creator", 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/08-ml-deployment/tensorflow-savedmodel-creatorType 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-savedmodel-creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-savedmodel-creator --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/08-ml-deployment/tensorflow-savedmodel-creator .agents/skills/tensorflow-savedmodel-creator && 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-savedmodel-creator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/tensorflow-savedmodel-creator into .agents/skills/tensorflow-savedmodel-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-savedmodel-creator", 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-savedmodel-creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-savedmodel-creator --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/08-ml-deployment/tensorflow-savedmodel-creator .cursor/skills/tensorflow-savedmodel-creator && 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-savedmodel-creator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/tensorflow-savedmodel-creator into .cursor/skills/tensorflow-savedmodel-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-savedmodel-creator", 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/08-ml-deployment/tensorflow-savedmodel-creator--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-savedmodel-creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorflow-savedmodel-creator --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/08-ml-deployment/tensorflow-savedmodel-creator .gemini/skills/tensorflow-savedmodel-creator && 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-savedmodel-creator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/tensorflow-savedmodel-creator into .gemini/skills/tensorflow-savedmodel-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-savedmodel-creator", 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-savedmodel-creatorInstalls 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-savedmodel-creator -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/08-ml-deployment/tensorflow-savedmodel-creator .github/skills/tensorflow-savedmodel-creator && 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-savedmodel-creator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/tensorflow-savedmodel-creator into .github/skills/tensorflow-savedmodel-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-savedmodel-creator", 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-savedmodel-creator -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-savedmodel-creator --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/08-ml-deployment/tensorflow-savedmodel-creator .opencode/skills/tensorflow-savedmodel-creator && 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-savedmodel-creator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/tensorflow-savedmodel-creator into .opencode/skills/tensorflow-savedmodel-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorflow-savedmodel-creator", 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.
Facts
- Skill name
tensorflow-savedmodel-creator- GitHub stars
- 2.8k
- Token cost
- ~593 tokens
- SKILL.md length
- 196 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create tensorflow savedmodel creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
- : tensorflow savedmodel creator
- SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tensorflow Savedmodel Creator is an agent skill from jeremylongshore/tons-of-skills-marketplace. Create tensorflow savedmodel creator operations. Auto-activating skill for ML Deployment. Triggers on: tensorflow savedmodel creator, tensorflow savedmodel creator Part of the ML Deployment skill category. Use when working with tensorflow savedmodel creator functionality. Trigger with phrases like "tensorflow savedmodel creator", "tensorflow creator", "tensorflow".
Its SKILL.md is about 590 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 and Deployment. 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.
When your agent uses it
- : tensorflow savedmodel creator
- Tensorflow savedmodel creator Part of the ML Deployment skill category
- Working with tensorflow savedmodel creator functionality
- With phrases like tensorflow savedmodel creator
Example prompts
- “tensorflow savedmodel creator”
- “tensorflow creator”
- “tensorflow”
- “/tensorflow-savedmodel-creator”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Provides step-by-step guidance for tensorflow savedmodel creator
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(cmd:*)Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Tensorflow Savedmodel Creator loads about 593 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 196 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~593 tokens.
Download SKILL.mdSave it as
.claude/skills/tensorflow-savedmodel-creator/SKILL.md (or your agent's skills folder).- name
- tensorflow-savedmodel-creator
- description
- Create tensorflow savedmodel creator operations. Auto-activating skill for ML Deployment. Triggers on: tensorflow savedmodel creator, tensorflow savedmodel creator Part of the ML Deployment skill category. Use when working with tensorflow savedmodel creator functionality. Trigger with phrases like "tensorflow savedmodel creator", "tensorflow creator", "tensorflow".
- allowed-tools
- Read, Write, Edit, Bash(cmd:*), Grep
- compatibility
- Designed for Claude Code
- version
- 1.0.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- ai, mlops
Tensorflow Savedmodel Creator
Overview
This skill provides automated assistance for tensorflow savedmodel creator tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "tensorflow savedmodel creator" in your request
- Ask about tensorflow savedmodel creator patterns or best practices
- Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.
Instructions
- Provides step-by-step guidance for tensorflow savedmodel creator
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with tensorflow savedmodel creator" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml deployment concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| 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 |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/08-ml-deployment/tensorflow-savedmodel-creator of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Tensorflow Savedmodel Creator 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 Savedmodel Creator this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~593 | Automated safety check: Pass | MIT | |
| Embedded AI Deploymentmatlab/agent-skills-playground | 184 | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Azure Custom VisionMicrosoftDocs/Agent-Skills | 776 | — | ~1.6k | Automated safety check: Pass | CC-BY-4.0 | |
| Senior ML Engineerdavila7/claude-code-templates | 33k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Editomegaml/omegaml | 108 | — | ~206 | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Azure Custom Vision
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment.
Senior ML Engineer
davila7/claude-code-templates
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems.
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.
Edit
omegaml/omegaml
how to use the edit command properly
- Official
Technology Selection
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…
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming Security Code Review
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
Analyzing Database Indexes
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Related
Works with
Categories
Questions about Tensorflow Savedmodel Creator
What does Tensorflow Savedmodel Creator do?
Create tensorflow savedmodel creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Tensorflow Savedmodel Creator is an agent skill from jeremylongshore/tons-of-skills-marketplace. Create tensorflow savedmodel creator operations.
When should I use Tensorflow Savedmodel Creator?
Tensorflow Savedmodel Creator fits situations like: : tensorflow savedmodel creator; tensorflow savedmodel creator Part of the ML Deployment skill category; working with tensorflow savedmodel creator functionality; with phrases like tensorflow savedmodel creator.
How do I install Tensorflow Savedmodel Creator in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-savedmodel-creator -a claude-code`. Or copy the skill folder (skills/08-ml-deployment/tensorflow-savedmodel-creator in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/tensorflow-savedmodel-creator in your project. Claude Code loads it when a task matches its description.
How do I install Tensorflow Savedmodel Creator in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-savedmodel-creator -a codex`. Or copy the skill folder (skills/08-ml-deployment/tensorflow-savedmodel-creator in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/tensorflow-savedmodel-creator in your project. Codex loads it when a task matches its description.
Can I use Tensorflow Savedmodel Creator in Cursor, Gemini CLI or GitHub Copilot?
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-savedmodel-creator -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-savedmodel-creator, .gemini/skills/tensorflow-savedmodel-creator, .github/skills/tensorflow-savedmodel-creator and .opencode/skills/tensorflow-savedmodel-creator in your project.
What does Tensorflow Savedmodel Creator need to run?
SKILL.md names no scripts, command-line tools or credentials: Tensorflow Savedmodel Creator is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
Does Tensorflow Savedmodel Creator access the network?
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.
Is Tensorflow Savedmodel Creator safe to install?
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.
What licence does Tensorflow Savedmodel Creator use?
Tensorflow Savedmodel Creator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tensorflow Savedmodel Creator use?
About 593 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tensorflow Savedmodel Creator?
Skills that share tags, products or a category with Tensorflow Savedmodel Creator: Embedded AI Deployment (matlab/agent-skills-playground, 184 stars), Azure Custom Vision (MicrosoftDocs/Agent-Skills, 776 stars), Senior ML Engineer (davila7/claude-code-templates, 33k stars) and Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tensorflow Savedmodel Creator?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 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.