Supabase
The Supabase skill gives Claude access to your Supabase project’s data layer. Claude can query and modify rows through PostgREST, call database functions, invoke edge functions, and list auth users — useful for content pipelines, data sync workflows, and seeding test data.
Metadata
Section titled “Metadata”| Field | Value |
|---|---|
| ID | supabase |
| Category | general |
| Required env vars | SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY |
| Optional env vars | SUPABASE_ALLOWED_TABLES, SUPABASE_ALLOWED_FUNCTIONS |
| Tool | Description |
|---|---|
supabase_query | Query rows from a table with PostgREST filters, ordering, and limits |
supabase_count | Count rows in a table, optionally with filters |
supabase_insert | Insert or upsert rows into a table |
supabase_update | Update rows matching filters (filters required) |
supabase_delete | Delete rows matching filters (filters required) |
supabase_rpc | Call a database function (stored procedure) |
supabase_invoke_function | Invoke an edge function by name |
supabase_list_users | List auth users (IDs, emails, metadata) |
supabase_list_tables | List public tables with row counts |
export SUPABASE_URL="https://your-project.supabase.co"export SUPABASE_SERVICE_ROLE_KEY="your-service-role-key"
# Strongly recommended: bound what the agent can touchexport SUPABASE_ALLOWED_TABLES="games,profiles,course_modules"export SUPABASE_ALLOWED_FUNCTIONS="get_table_counts,agent-gateway"Guardrails
Section titled “Guardrails”Beyond the optional allowlists, the skill enforces:
- Identifier validation — table and function names must be bare identifiers; path traversal and query injection in names are rejected.
- Filter encoding — PostgREST filter values are URL-encoded, so a single filter string cannot smuggle additional query parameters.
- Mandatory filters on writes —
supabase_updateandsupabase_deleterequire at least one filter to prevent accidental full-table modification.
Workflow usage
Section titled “Workflow usage”Content generation workflow:
- seed — Insert generated content rows into staging tables
- verify — Query back inserted rows and validate counts
Data sync workflow:
- extract — Query source tables with filters
- load — Upsert transformed rows into destination tables