Supabase
CheckedConnects to and queries Supabase databases using SQL, enabling data retrieval and manipulation via AI prompts.
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 heyvhuang/ship-faster --skill supabase -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
heyvhuang
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 heyvhuang/ship-faster at 64047d24e0.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 64047d24e0
- Manifest
- skills/supabase/SKILL.md
- Scanned
- 4 files, 513 lines
About this skill
The Supabase skill enables AI agents to interact directly with a Postgres database, allowing them to create tables, insert data, and query records without manual setup. It acts as a bridge between natural language requests and raw SQL execution within the Supabase ecosystem.
When to use it
- Automating repetitive data entry tasks like logging user sign-ups or updating inventory levels.
- Retrieving specific datasets for analysis, such as fetching recent sales reports or customer lists.
- Prototyping database-driven applications by letting an agent define schema and seed initial data instantly.
Key capabilities
- Database Creation: Automatically provisions a new Postgres database instance.
- Schema Management: Creates tables with defined columns and constraints based on user descriptions.
- Data Manipulation: Executes INSERT, UPDATE, and DELETE operations to manage records dynamically.
- Query Execution: Runs SELECT statements to retrieve and display data in readable formats.
Example prompts
- "Create a
userstable with fields for id, name, email, and created_at timestamp." - "Insert three new product records into the inventory table with prices of $10, $25, and $50."
- "Show me all users who signed up in the last 24 hours."
Tips & gotchas
Ensure your Supabase project is publicly accessible or properly configured for API access before invoking this skill. While the agent can create complex schemas, always review generated SQL statements if handling sensitive data to prevent accidental overwrites or security issues.