nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and managing tables. Triggers on requests involving databases, vector stores, embeddings, or Supabase specifically.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install ecosincronia/ecosincronia-supabaseExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Interact with Supabase projects: queries, CRUD, vector search, and table management.
# Required
export SUPABASE_URL="https://yourproject.supabase.co"
export SUPABASE_SERVICE_KEY="eyJhbGciOiJIUzI1NiIs..."
# Optional: for management API
export SUPABASE_ACCESS_TOKEN="sbp_xxxxx"
# 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
{baseDir}/scripts/supabase.sh query "<SQL>"
# 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'"
{baseDir}/scripts/supabase.sh select <table> [options]
Options:
--columns <cols> Comma-separated columns (default: *)
--eq <col:val> Equal filter (can use multiple)
--neq <col:val> Not equal filter
--gt <col:val> Greater than
--lt <col:val> Less than
--like <col:val> Pattern match (use % for wildcard)
--limit <n> Limit results
--offset <n> Offset results
--order <col> Order by column
--desc Descending order
# Examples
{baseDir}/scripts/supabase.sh select users --eq...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Supabase CLI
Interact with Supabase projects: queries, CRUD, vector search, and table management.
## Setup
```bash
# 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
```bash
# 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
```
## Commands Reference
### query - Run raw SQL
```bash
{baseDir}/scripts/supabase.sh query "<SQL>"
# 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
```bash
{baseDir}/scripts/supabase.sh select <table> [options]
Options:
--columns <cols> Comma-separated columns (default: *)
--eq <col:val> Equal filter (can use multiple)
--neq <col:val> Not equal filter
--gt <col:val> Greater than
--lt <col:val> Less than
--like <col:val> Pattern match (use % for wildcard)
--limit <n> Limit results
--offset <n> Offset results
--order <col> Order by column
--desc Descending order
# Examples
{baseDir}/scripts/supabase.sh select users --eq...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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