Greptimedb Flow
CheckedGreptimeDB Flow automates data extraction and transformation from databases into a streamlined workflow for efficient analysis and reporting.
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 greptimeteam/docs --skill greptimedb-flow -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
greptimeteam
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 greptimeteam/docs at c3b0c72237.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c3b0c72237
- Manifest
- skills/greptimedb-flow/SKILL.md
- Scanned
- 1 file, 128 lines
About this skill
What it does
This skill, greptimedb-flow, allows AI agents to interact with and query databases using a flow-based programming approach. It facilitates the creation of complex data pipelines where agents can extract, transform, and load (ETL) information from various database sources. The visual flow design simplifies building sophisticated queries and automates repetitive tasks involving database interactions.
When to use it
- Automated Data Extraction: When you need an agent to regularly pull specific data points from a database for reporting or analysis.
- Complex Query Generation: For scenarios requiring intricate SQL queries that are difficult to construct manually.
- Data Transformation Pipelines: To build automated workflows that clean, reshape, and prepare data for machine learning models.
- Database Migration Tasks: To automate the process of moving data between different database systems or formats.
Key capabilities
- Flow-based programming interface
- Database query generation
- ETL (Extract, Transform, Load) pipeline creation
- Automated task execution
Example prompts
- "Create a flow to extract all customer orders from the 'orders' table and save them as a CSV file."
- "Build a database query that finds all products with a price greater than $50 and an inventory level below 10."
- "Design a flow to update the 'users' table with new email addresses obtained from an external API."
Tips & gotchas
The skill requires familiarity with SQL syntax and database concepts. The visual flow design can be powerful, but complex flows may require careful planning and testing to ensure accuracy and efficiency.