# Send Supabase to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "supabase", "name": "Supabase", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/lucassynnott/supabase", "canonicalUrl": "https://clawhub.ai/lucassynnott/supabase", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/supabase", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=supabase", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/supabase.sh" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "supabase", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-09T13:49:20.470Z", "expiresAt": "2026-05-16T13:49:20.470Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=supabase", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=supabase", "contentDisposition": "attachment; filename=\"supabase-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "supabase" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/supabase" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/supabase", "downloadUrl": "https://openagent3.xyz/downloads/supabase", "agentUrl": "https://openagent3.xyz/skills/supabase/agent", "manifestUrl": "https://openagent3.xyz/skills/supabase/agent.json", "briefUrl": "https://openagent3.xyz/skills/supabase/agent.md" } } ``` ## Documentation ### Supabase CLI Interact with Supabase projects: queries, CRUD, vector search, and table management. ### Setup # Required export SUPABASE_URL="https://yourproject.supabase.co" export SUPABASE_SERVICE_KEY="eyJhbGciOiJIUzI1NiIs..." # Optional: for management API export SUPABASE_ACCESS_TOKEN="sbp_xxxxx" ### Quick Commands # SQL query {baseDir}/scripts/supabase.sh query "SELECT * FROM users LIMIT 5" # Insert data {baseDir}/scripts/supabase.sh insert users '{"name": "John", "email": "john@example.com"}' # Select with filters {baseDir}/scripts/supabase.sh select users --eq "status:active" --limit 10 # Update {baseDir}/scripts/supabase.sh update users '{"status": "inactive"}' --eq "id:123" # Delete {baseDir}/scripts/supabase.sh delete users --eq "id:123" # Vector similarity search {baseDir}/scripts/supabase.sh vector-search documents "search query" --match-fn match_documents --limit 5 # List tables {baseDir}/scripts/supabase.sh tables # Describe table {baseDir}/scripts/supabase.sh describe users ### query - Run raw SQL {baseDir}/scripts/supabase.sh query "" # Examples {baseDir}/scripts/supabase.sh query "SELECT COUNT(*) FROM users" {baseDir}/scripts/supabase.sh query "CREATE TABLE items (id serial primary key, name text)" {baseDir}/scripts/supabase.sh query "SELECT * FROM users WHERE created_at > '2024-01-01'" ### select - Query table with filters {baseDir}/scripts/supabase.sh select [options] Options: --columns Comma-separated columns (default: *) --eq Equal filter (can use multiple) --neq Not equal filter --gt Greater than --lt Less than --like Pattern match (use % for wildcard) --limit Limit results --offset Offset results --order Order by column --desc Descending order # Examples {baseDir}/scripts/supabase.sh select users --eq "status:active" --limit 10 {baseDir}/scripts/supabase.sh select posts --columns "id,title,created_at" --order created_at --desc {baseDir}/scripts/supabase.sh select products --gt "price:100" --lt "price:500" ### insert - Insert row(s) {baseDir}/scripts/supabase.sh insert
'' # Single row {baseDir}/scripts/supabase.sh insert users '{"name": "Alice", "email": "alice@test.com"}' # Multiple rows {baseDir}/scripts/supabase.sh insert users '[{"name": "Bob"}, {"name": "Carol"}]' ### update - Update rows {baseDir}/scripts/supabase.sh update
'' --eq # Example {baseDir}/scripts/supabase.sh update users '{"status": "inactive"}' --eq "id:123" {baseDir}/scripts/supabase.sh update posts '{"published": true}' --eq "author_id:5" ### upsert - Insert or update {baseDir}/scripts/supabase.sh upsert
'' # Example (requires unique constraint) {baseDir}/scripts/supabase.sh upsert users '{"id": 1, "name": "Updated Name"}' ### delete - Delete rows {baseDir}/scripts/supabase.sh delete
--eq # Example {baseDir}/scripts/supabase.sh delete sessions --lt "expires_at:2024-01-01" ### vector-search - Similarity search with pgvector {baseDir}/scripts/supabase.sh vector-search
"" [options] Options: --match-fn RPC function name (default: match_
) --limit Number of results (default: 5) --threshold Similarity threshold 0-1 (default: 0.5) --embedding-model Model for query embedding (default: uses OpenAI) # Example {baseDir}/scripts/supabase.sh vector-search documents "How to set up authentication" --limit 10 # Requires a match function like: # CREATE FUNCTION match_documents(query_embedding vector(1536), match_threshold float, match_count int) ### tables - List all tables {baseDir}/scripts/supabase.sh tables ### describe - Show table schema {baseDir}/scripts/supabase.sh describe
### rpc - Call stored procedure {baseDir}/scripts/supabase.sh rpc '' # Example {baseDir}/scripts/supabase.sh rpc get_user_stats '{"user_id": 123}' ### 1. Enable pgvector extension CREATE EXTENSION IF NOT EXISTS vector; ### 2. Create table with embedding column CREATE TABLE documents ( id bigserial PRIMARY KEY, content text, metadata jsonb, embedding vector(1536) ); ### 3. Create similarity search function CREATE OR REPLACE FUNCTION match_documents( query_embedding vector(1536), match_threshold float DEFAULT 0.5, match_count int DEFAULT 5 ) RETURNS TABLE ( id bigint, content text, metadata jsonb, similarity float ) LANGUAGE plpgsql AS $$ BEGIN RETURN QUERY SELECT documents.id, documents.content, documents.metadata, 1 - (documents.embedding <=> query_embedding) AS similarity FROM documents WHERE 1 - (documents.embedding <=> query_embedding) > match_threshold ORDER BY documents.embedding <=> query_embedding LIMIT match_count; END; $$; ### 4. Create index for performance CREATE INDEX ON documents USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100); ### Environment Variables VariableRequiredDescriptionSUPABASE_URLYesProject URL (https://xxx.supabase.co)SUPABASE_SERVICE_KEYYesService role key (full access)SUPABASE_ANON_KEYNoAnon key (restricted access)SUPABASE_ACCESS_TOKENNoManagement API tokenOPENAI_API_KEYNoFor generating embeddings ### Notes Service role key bypasses RLS (Row Level Security) Use anon key for client-side/restricted access Vector search requires pgvector extension Embeddings default to OpenAI text-embedding-ada-002 (1536 dimensions) ## Trust - Source: tencent - Verification: Indexed source record - Publisher: lucassynnott - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-09T13:49:20.470Z - Expires at: 2026-05-16T13:49:20.470Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/supabase) - [Send to Agent page](https://openagent3.xyz/skills/supabase/agent) - [JSON manifest](https://openagent3.xyz/skills/supabase/agent.json) - [Markdown brief](https://openagent3.xyz/skills/supabase/agent.md) - [Download page](https://openagent3.xyz/downloads/supabase)