model-deployment
Skill from awslabs/agent-plugins
Install
npx skills add awslabs/agent-plugins --skill model-deployment
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install sagemaker-ai@agent-plugins-for-aws
This skill is part of the plugin “sagemaker-ai”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the model-deployment skill do?
Description from the SKILL.md in the source repository.
Questions about model-deployment
What does the model-deployment skill do?
Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.
How do I install model-deployment?
In a terminal: npx skills add awslabs/agent-plugins --skill model-deployment. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use model-deployment?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is model-deployment safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
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