vnx-orchestration: Skill for Claude Code

.claude/skills/supabase-expert/SKILL.md

supabase-expert is a skill for Claude Code from Vinix24/vnx-orchestration. It costs 10 tokens per session (887 once invoked), scanned A, original, MIT.

A guide for improving Supabase database queries, table structures, and access rules. Supabase is a service that provides databases and related backend features for applications.

In plain words
What is it for?
Use it to review query performance, indexes, schema design, data types, constraints, and row-level security policies. Row-level security controls which users can read or change specific database rows.
Why use it?
It helps find slow queries, unnecessary indexes, inefficient data designs, and weak access controls before they cause performance or security problems.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is Vinix24/vnx-orchestration's own configuration. It tells Claude Code how to work on vnx-orchestration itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vnx-orchestration configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Vinix24/vnx-orchestration. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Vinix24/vnx-orchestration/main/.claude/skills/supabase-expert/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Vinix24/vnx-orchestration

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for supabase-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/supabase-expert/github.svg)](https://agentmods.dev/skills/vinix24/vnx-orchestration/supabase-expert)
Your own site
<a href="https://agentmods.dev/skills/vinix24/vnx-orchestration/supabase-expert"><img src="https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/supabase-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for supabase-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/vinix24/vnx-orchestration/supabase-expert"><img src="https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/supabase-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 887 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.00887
Opus 5 $0.00005 $0.00443
Sonnet 5 $0.00002 $0.00177
Haiku 4.5 $0.00001 $0.00089

Measured 10d ago against content hash d12f444393b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

supabase-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/supabase-expert/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@supabase-expert - Supabase Database Optimization Specialist

You are a Supabase Expert specialized in optimizing database operations, queries, and schema design for the SEOcrawler V2 project.

Core Mission

Maximize Supabase performance, ensure data integrity, and implement best practices for scalable database operations.

Optimization Principles

  • Query Performance: Sub-50ms p95 response times
  • Resource Efficiency: Minimize database load
  • Security First: RLS policies and access control
  • Scalability: Design for growth

Optimization Workflow

  1. Query Analysis

    -- Analyze slow queries
    SELECT query, mean_exec_time, calls
    FROM pg_stat_statements
    ORDER BY mean_exec_time DESC;
    
    -- Check missing indexes
    SELECT schemaname, tablename, attname, n_distinct, correlation
    FROM pg_stats
    WHERE schemaname = 'public';
    
  2. Index Optimization

    • Identify missing indexes
    • Remove duplicate/unused indexes
    • Create composite indexes for common queries
    • Monitor index usage statistics
  3. Schema Optimization

    • Normalize where appropriate
    • Denormalize for performance
    • Implement proper constraints
    • Optimize data types
  4. RLS Policy Optimization

    -- Efficient RLS policies
    CREATE POLICY "efficient_read" ON crawl_results
    USING (auth.uid() = user_id OR is_public = true);
    
    -- Avoid complex subqueries in policies
    -- Use indexes for policy conditions
    

SEOcrawler Specific Optimizations

Storage Tables

  • crawl_results: Partition by date for faster queries
  • rag_embeddings: Use vector indexes for similarity search
  • competitor_data: Implement smart caching strategy
  • webvitals_metrics: Aggregate for performance

Common Query Patterns

-- Optimized crawl result fetch
CREATE INDEX idx_crawl_url_date ON crawl_results(url, created_at DESC);

-- Efficient RAG search
CREATE INDEX idx_rag_vectors ON rag_embeddings
USING ivfflat (embedding vector_cosine_ops);

-- Fast competitor lookup
CREATE INDEX idx_competitor_domain ON competitor_data(domain, scan_date);

Read the full file on GitHub · 152 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 152 lines · 10 tokens per session scan A d12f444393b8

Subscribe to this mod's changes

supabase-expert is a skill published in the GitHub repository Vinix24/vnx-orchestration (61 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 887 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

database-patterns

Database design and implementation patterns for modern applications. Use when designing schemas, writing migrations, optimizing queries, and configuring ORMs. Covers PostgreSQL, MongoDB, Prisma, Drizzle, indexing strategies, and security best practices.

shahtuyakov/claude-setup · 49 tokens

oma-db

Database specialist for SQL, NoSQL, and vector database modeling, schema design, normalization, indexing, transactions, integrity, concurrency control, backup, capacity planning, data standards, anti-pattern review, and compliance-aware database design. Use for database, schema, ERD, table design, document model…

first-fluke/oh-my-agent · 111 tokens

agent-teams

Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.

athola/claude-night-market · 30 tokens

sql_query

A procedure for answering data questions with read-only SQL queries, such as counting users or orders. It first finds the available data source and relevant tables, then checks their columns before running a query.

mateaix/mateclaw · 54 tokens

migration-ready-schema

Data-model rules that make a schema importable from day one, so the migration-import-engineer is never blocked on missing columns. Every SMB Product-Builder product must let a customer bring their data from an incumbent (ServiceTitan/Toast/Mindbody/Shopify) — that requires provenance (sourceref) and rollback…

avelikiy/great_cto · 133 tokens

continuum-memory

Configure and use Continuum's two-tier memory system — mem0+Qdrant/Milvus for long-term facts, Redis for short-term sessions, with multi-tenant scopes (USER / AGENT / SHARED / RUN / CONVERSATION). Invoke when the user asks about "remember", "user preferences", "long-term memory", "vector search over memories"…

shyftlabs/continuum · 107 tokens