Mongodb Atlas
CheckedConnects to and queries MongoDB Atlas databases using provided credentials and specified collections.
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 thelobbi/claude --skill mongodb-atlas -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
lobbi-docs
Taken from the source listing. We haven't verified who controls this account.
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 lobbi-docs/claude at 1f04f9b061.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1f04f9b061
- Scanned
- 1 file, 333 lines
About this skill
What it does
This skill provides access to and interaction with MongoDB Atlas, a fully managed cloud database service. It allows you to query data, manage databases, and perform administrative tasks within your Atlas deployment directly through AI agent prompts. The skill streamlines database operations by abstracting away complex commands and providing a conversational interface.
When to use it
- Data Analysis: Quickly extract insights from your MongoDB Atlas data without needing to write complex queries manually.
- Database Administration: Perform common administrative tasks like creating indexes or managing users through natural language instructions.
- Application Development: Integrate database interactions into automated workflows for application development and deployment.
- Troubleshooting: Investigate and resolve database issues by querying logs and performance metrics via the AI agent.
Key capabilities
- Query data within MongoDB Atlas databases
- Manage database indexes
- Perform administrative tasks related to your Atlas deployment
- Interact with your Atlas environment conversationally
Example prompts
- "Show me all orders placed in the last week from my MongoDB Atlas database."
- "Create an index on the 'email' field in the 'users' collection in my Atlas cluster."
- "What is the current status of my MongoDB Atlas backups?"
Tips & gotchas
- Requires appropriate credentials and permissions to access your MongoDB Atlas account.
- The skill’s effectiveness depends on clear and specific prompts; vague requests may yield unexpected results.