Supabase Database
CheckedHelps with Supabase, database as part of working with databases and data persistence workflows.
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 nice-wolf-studio/claude-code-supabase-skills --skill supabase-database -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
nice-wolf-studio
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 nice-wolf-studio/claude-code-supabase-skills at 632a5b826c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 632a5b826c
- Scanned
- 1 file, 252 lines
About this skill
The supabase-database skill enables AI agents to interact directly with Supabase projects, allowing for automated database management and data retrieval. It facilitates seamless integration between code generation tasks and persistent data storage within the Supabase ecosystem.
When to use it
- Automating the creation of new tables or modifying existing schema structures based on project requirements.
- Executing complex SQL queries to retrieve, update, or delete specific datasets without manual intervention.
- Integrating real-time data feeds into applications by managing Supabase subscriptions and triggers.
- Performing routine maintenance tasks such as running migrations or optimizing database performance.
Key capabilities
- Direct connection to Supabase instances via API keys or service role credentials.
- Execution of raw SQL commands for custom data manipulation.
- Management of table schemas, including adding columns or altering types.
- Real-time synchronization with Supabase's edge functions and database triggers.
Example prompts
- "Create a new 'users' table in my Supabase project with fields for id, email, and created_at timestamp."
- "Run a query to find all active users who signed up in the last 30 days and return their emails."
- "Update the schema of the 'products' table to add a new boolean column called 'is_featured'."
Tips & gotchas
Ensure your AI agent has the correct service role or API key permissions before attempting write operations, as default keys may lack administrative privileges. Always validate generated SQL queries in a test environment before deploying them to production databases to prevent data loss.