SageMaker Production Defaults
huggingface/skills
Deploys SageMaker endpoints with autoscaling, CloudWatch alarms and tags on by default, using scripts for real-time, scale-to-zero and async setups.
Optimize gpu resource optimizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install GPU Resource Optimizer
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill gpu-resource-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gpu-resource-optimizer --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/gpu-resource-optimizer .claude/skills/gpu-resource-optimizer && 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 "gpu-resource-optimizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/gpu-resource-optimizer into .claude/skills/gpu-resource-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-resource-optimizer", 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/gpu-resource-optimizerType 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 gpu-resource-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gpu-resource-optimizer --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/gpu-resource-optimizer .agents/skills/gpu-resource-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gpu-resource-optimizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/gpu-resource-optimizer into .agents/skills/gpu-resource-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-resource-optimizer", 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 gpu-resource-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gpu-resource-optimizer --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/gpu-resource-optimizer .cursor/skills/gpu-resource-optimizer && 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 "gpu-resource-optimizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/gpu-resource-optimizer into .cursor/skills/gpu-resource-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-resource-optimizer", 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/gpu-resource-optimizer--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 gpu-resource-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gpu-resource-optimizer --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/gpu-resource-optimizer .gemini/skills/gpu-resource-optimizer && 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 "gpu-resource-optimizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/gpu-resource-optimizer into .gemini/skills/gpu-resource-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-resource-optimizer", 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 gpu-resource-optimizerInstalls 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 gpu-resource-optimizer -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/gpu-resource-optimizer .github/skills/gpu-resource-optimizer && 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 "gpu-resource-optimizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/gpu-resource-optimizer into .github/skills/gpu-resource-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-resource-optimizer", 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 gpu-resource-optimizer -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 gpu-resource-optimizer --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/gpu-resource-optimizer .opencode/skills/gpu-resource-optimizer && 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 "gpu-resource-optimizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/gpu-resource-optimizer into .opencode/skills/gpu-resource-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-resource-optimizer", 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
gpu-resource-optimizer- GitHub stars
- 2.8k
- Token cost
- ~569 tokens
- SKILL.md length
- 196 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize gpu resource optimizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for gpu… → Follows industry best practices and… → Generates production-ready code and… → …
- : gpu resource optimizer
- 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
GPU Resource Optimizer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize gpu resource optimizer operations. Auto-activating skill for ML Deployment. Triggers on: gpu resource optimizer, gpu resource optimizer Part of the ML Deployment skill category. Use when working with gpu resource optimizer functionality. Trigger with phrases like "gpu resource optimizer", "gpu optimizer", "gpu".
Its SKILL.md is about 570 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 DevOps & Cloud, covering Deployment. 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
- : gpu resource optimizer
- Gpu resource optimizer Part of the ML Deployment skill category
- Working with gpu resource optimizer functionality
- With phrases like gpu resource optimizer
Example prompts
- “gpu resource optimizer”
- “gpu optimizer”
- “/gpu-resource-optimizer”
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 gpu resource optimizer
- 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
GPU Resource Optimizer loads about 569 tokens when it runs. Until then it costs about 86 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, ~569 tokens.
Download SKILL.mdSave it as
.claude/skills/gpu-resource-optimizer/SKILL.md (or your agent's skills folder).- name
- gpu-resource-optimizer
- description
- Optimize gpu resource optimizer operations. Auto-activating skill for ML Deployment. Triggers on: gpu resource optimizer, gpu resource optimizer Part of the ML Deployment skill category. Use when working with gpu resource optimizer functionality. Trigger with phrases like "gpu resource optimizer", "gpu optimizer", "gpu".
- 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
Gpu Resource Optimizer
Overview
This skill provides automated assistance for gpu resource optimizer tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "gpu resource optimizer" in your request
- Ask about gpu resource optimizer 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 gpu resource optimizer
- 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 gpu resource optimizer" 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/gpu-resource-optimizer of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
GPU Resource Optimizer 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 |
|---|---|---|---|---|---|---|
| GPU Resource Optimizer this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~569 | Automated safety check: Pass | MIT | |
| SageMaker Production Defaultshuggingface/skills | 11k | 1 repos | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Azure AI Agent App DeploymentAzure-Samples/get-started-with-ai-agents | 374 | — | ~4.7k | Automated safety check: Notes | MIT | |
| Setup Workshopbrevdev/workshop-build-an-agent | 146 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Model Garden Deploymentgoogle/skills | 21k | — | ~5k | Automated safety check: Pass | Apache-2.0 | |
| Generate Ors Envadithya-s-k/FineEnvs | 461 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 |
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Categories
Questions about GPU Resource Optimizer
What does GPU Resource Optimizer do?
Optimize gpu resource optimizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. GPU Resource Optimizer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize gpu resource optimizer operations.
When should I use GPU Resource Optimizer?
GPU Resource Optimizer fits situations like: : gpu resource optimizer; gpu resource optimizer Part of the ML Deployment skill category; working with gpu resource optimizer functionality; with phrases like gpu resource optimizer.
How do I install GPU Resource Optimizer in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gpu-resource-optimizer -a claude-code`. Or copy the skill folder (skills/08-ml-deployment/gpu-resource-optimizer in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/gpu-resource-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install GPU Resource Optimizer in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gpu-resource-optimizer -a codex`. Or copy the skill folder (skills/08-ml-deployment/gpu-resource-optimizer in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/gpu-resource-optimizer in your project. Codex loads it when a task matches its description.
Can I use GPU Resource Optimizer 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 gpu-resource-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gpu-resource-optimizer, .gemini/skills/gpu-resource-optimizer, .github/skills/gpu-resource-optimizer and .opencode/skills/gpu-resource-optimizer in your project.
What does GPU Resource Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: GPU Resource Optimizer 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 GPU Resource Optimizer 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 GPU Resource Optimizer 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 GPU Resource Optimizer use?
GPU Resource Optimizer 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 GPU Resource Optimizer use?
About 569 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.
What are the alternatives to GPU Resource Optimizer?
Skills that share tags, products or a category with GPU Resource Optimizer: SageMaker Production Defaults (huggingface/skills, 11k stars), Azure AI Agent App Deployment (Azure-Samples/get-started-with-ai-agents, 374 stars), Setup Workshop (brevdev/workshop-build-an-agent, 146 stars) and Model Garden Deployment (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains GPU Resource Optimizer?
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.