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.
Agent skill
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Deploy sagemaker endpoint deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill sagemaker-endpoint-deployer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace sagemaker-endpoint-deployer --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/sagemaker-endpoint-deployer .claude/skills/sagemaker-endpoint-deployer && 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 "sagemaker-endpoint-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/sagemaker-endpoint-deployer into .claude/skills/sagemaker-endpoint-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sagemaker-endpoint-deployer", 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/sagemaker-endpoint-deployerType 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 sagemaker-endpoint-deployer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace sagemaker-endpoint-deployer --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/sagemaker-endpoint-deployer .agents/skills/sagemaker-endpoint-deployer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sagemaker-endpoint-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/sagemaker-endpoint-deployer into .agents/skills/sagemaker-endpoint-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sagemaker-endpoint-deployer", 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 sagemaker-endpoint-deployer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace sagemaker-endpoint-deployer --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/sagemaker-endpoint-deployer .cursor/skills/sagemaker-endpoint-deployer && 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 "sagemaker-endpoint-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/sagemaker-endpoint-deployer into .cursor/skills/sagemaker-endpoint-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sagemaker-endpoint-deployer", 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/sagemaker-endpoint-deployer--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 sagemaker-endpoint-deployer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace sagemaker-endpoint-deployer --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/sagemaker-endpoint-deployer .gemini/skills/sagemaker-endpoint-deployer && 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 "sagemaker-endpoint-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/sagemaker-endpoint-deployer into .gemini/skills/sagemaker-endpoint-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sagemaker-endpoint-deployer", 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 sagemaker-endpoint-deployerInstalls 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 sagemaker-endpoint-deployer -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/sagemaker-endpoint-deployer .github/skills/sagemaker-endpoint-deployer && 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 "sagemaker-endpoint-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/sagemaker-endpoint-deployer into .github/skills/sagemaker-endpoint-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sagemaker-endpoint-deployer", 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 sagemaker-endpoint-deployer -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 sagemaker-endpoint-deployer --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/sagemaker-endpoint-deployer .opencode/skills/sagemaker-endpoint-deployer && 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 "sagemaker-endpoint-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/sagemaker-endpoint-deployer into .opencode/skills/sagemaker-endpoint-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sagemaker-endpoint-deployer", 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.
sagemaker-endpoint-deployerDeploy sagemaker endpoint deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Sagemaker Endpoint Deployer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy sagemaker endpoint deployer operations. Auto-activating skill for ML Deployment. Triggers on: sagemaker endpoint deployer, sagemaker endpoint deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "sagemaker endpoint deployer", "sagemaker deployer", "deploy sagemaker endpoint er".
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 DevOps & Cloud, covering Deployment. It works with Amazon SageMaker. 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 cfae287. 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(cmd:*)GrepFrom 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.
Sagemaker Endpoint Deployer loads about 586 tokens when it runs. Until then it costs about 96 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.
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 cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~586 tokens.
.claude/skills/sagemaker-endpoint-deployer/SKILL.md (or your agent's skills folder).This skill provides automated assistance for sagemaker endpoint deployer tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with sagemaker endpoint deployer" 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 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
Just SKILL.md in skills/08-ml-deployment/sagemaker-endpoint-deployer of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Sagemaker Endpoint Deployer 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 |
|---|---|---|---|---|---|---|
| Sagemaker Endpoint Deployer this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~586 | Automated safety check: Pass | MIT | |
| SageMaker Production Defaultshuggingface/skills | 11k | 1 repos | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Hf Cloud Sagemaker Deployment Plannerwaybarrios/opencode-power-pack | 534 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Python Environment Setup for SageMakerhuggingface/skills | 11k | 2 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Deployment Plannerhuggingface/skills | 11k | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
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.
waybarrios/opencode-power-pack
Plan and coordinate a model deployment to Amazon SageMaker, including serving stack and real-time versus async inference.
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
huggingface/skills
Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs.
huggingface/skills
Entry point for hosting a model on Amazon SageMaker: asks a few questions, picks a deployment pathway and hands off to the specialist skills.
waybarrios/opencode-power-pack
Implement a production SageMaker endpoint with autoscaling, CloudWatch alarms, and tags.
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
Deploy sagemaker endpoint deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Sagemaker Endpoint Deployer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy sagemaker endpoint deployer operations.
Sagemaker Endpoint Deployer fits situations like: : sagemaker endpoint deployer; sagemaker endpoint deployer Part of the ML Deployment skill category; deploying applications; with phrases like sagemaker endpoint deployer.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill sagemaker-endpoint-deployer -a claude-code`. Or copy the skill folder (skills/08-ml-deployment/sagemaker-endpoint-deployer in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/sagemaker-endpoint-deployer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill sagemaker-endpoint-deployer -a codex`. Or copy the skill folder (skills/08-ml-deployment/sagemaker-endpoint-deployer in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/sagemaker-endpoint-deployer 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 sagemaker-endpoint-deployer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sagemaker-endpoint-deployer, .gemini/skills/sagemaker-endpoint-deployer, .github/skills/sagemaker-endpoint-deployer and .opencode/skills/sagemaker-endpoint-deployer in your project.
SKILL.md names no scripts, command-line tools or credentials: Sagemaker Endpoint Deployer 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.
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.
Sagemaker Endpoint Deployer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 586 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 Sagemaker Endpoint Deployer: SageMaker Production Defaults (huggingface/skills, 11k stars), Hf Cloud Sagemaker Deployment Planner (waybarrios/opencode-power-pack, 534 stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars) and Python Environment Setup for SageMaker (huggingface/skills, 11k 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 2,827 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.