Learning Medusa
OfficialLearning Medusa helps you rapidly train custom Medusa models with your own data, boosting personalization and improving product recommendations.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add medusajs/medusa-agent-skills --skill learning-medusa -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
medusajs
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned medusajs/medusa-agent-skills at e9c28cc8ef.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e9c28cc8ef
- Scanned
- 18 files, 7,644 lines
About this skill
What it does
The learning-medusa skill enables AI agents to engage in interactive learning processes, likely involving knowledge acquisition, training, or adaptive behavior based on user input and feedback. It is designed for scenarios where an agent must evolve its understanding or performance through iterative interactions.
When to use it
- When building an AI agent that needs to learn from user corrections or additional information.
- For applications requiring personalized learning paths or dynamic skill development.
- In environments where the agent must adapt to new data or changing conditions over time.
- During training phases where feedback loops are essential for improvement.
Key capabilities
- Interactive learning through user input and feedback.
- Adaptive behavior based on iterative interactions.
- Integration with MedusaJS for AI agent development.
Example prompts
- "Teach me how to debug this code step by step."
- "Explain the concept of blockchain in simple terms, and ask me questions to check my understanding."
- "Adjust your response style based on my feedback during our conversation."
Tips & gotchas
- Ensure that user feedback is clearly structured for effective learning.
- This skill may require additional configuration or integration with MedusaJS components to function fully.