Natural Language Postgres
CheckedGenerates SQL queries from natural language to retrieve, update, and manage data within a PostgreSQL database.
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 rebyteai-template/rebyte-skills --skill natural-language-postgres -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
rebyteai-template
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 rebyteai-template/rebyte-skills at 0062e44684.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0062e44684
- Scanned
- 1 file, 56 lines
About this skill
What it does
This skill allows AI agents to interact with PostgreSQL databases using natural language. It translates user prompts into SQL queries, executes them against the database, and returns the results in a human-readable format. The agent can retrieve data, filter records, and perform basic calculations directly through conversational commands.
When to use it
- Data Exploration: Quickly explore a PostgreSQL database without needing to write complex SQL queries manually.
- Report Generation: Generate simple reports or summaries from database tables based on natural language requests.
- Automated Data Retrieval: Automate the process of retrieving specific data points for dashboards or other applications.
- Database Troubleshooting: Use natural language to check table structures and contents during debugging.
Key capabilities
- Natural Language to SQL translation
- PostgreSQL database connectivity
- Data retrieval from tables
- Filtering of records
- Human-readable result formatting
Example prompts
- "Show me all customers in California."
- "What's the average order value?"
- "List the top 5 products by sales."
Tips & gotchas
- Requires a PostgreSQL database connection string to be configured.
- The skill’s SQL generation capabilities are basic; complex queries may require manual adjustments or alternative approaches.