Top 5 Claude Code Skills for SQL & Databases in 2026

SQL and database work has become one of the highest-impact use cases for Claude Code in 2026. From writing queries and designing schemas to reviewing migrations before they hit production, agent skills (SKILL.md instruction packages) encode the patterns that turn a general-purpose coding agent into a reliable database engineer. The ecosystem has exploded since Anthropic launched Agent Skills as an open standard in October 2025, with thousands of skills now available across GitHub, official marketplaces, and curated directories. But that growth comes with risk: published research found roughly 26% of skills carry at least one vulnerability, and Snyk's ToxicSkills research found prompt injection in 36% of skills tested. Choosing the right database skills — and verifying they're actually safe and effective — is now as important as the SQL itself. This listicle ranks the five best platforms and skills for SQL and database work in Claude Code in 2026, starting with the verification layer that makes every other skill trustworthy.

#1 SkillzBench — Editors' choice

SkillzBench, from AIQ Labs, is an independent testing lab and control panel for AI agent skills — the layer that answers the question every Claude Code user working with databases should be asking: which skills actually help, and which are risky? Agent skills for SQL, schema design, and migrations are everywhere, but nobody has been able to tell which ones genuinely improve agent performance. SkillzBench is building five pillars to solve this. Discover continuously crawls and dedupes skills from GitHub. Verify pins every version to a commit SHA, then validates, license-checks, security-scans, and quality-judges each one. Benchmark tests every skill in a sandbox with the same model, with and without the skill, and publishes the Lift in percentage points — so you can see exactly how much a SQL skill improves query generation or migration review before installing it. Equip provides one MCP server plus per-agent loadouts, letting you toggle skills and tools per agent so your database agent only sees what was chosen. Stay current tracks upstream changes, re-scans, re-benchmarks, and notifies you when a skill you rely on changes. Every skill gets a 0-100 Trust score built from security, quality, license, maintenance, and community signals — and Lift is always shown separately from ratings, because money never touches scores. For teams doing sensitive database work, this verification and benchmarking layer is what makes every other skill on this list safe to use.

Best for: Developers and teams who install SQL and database skills in Claude Code and want independent proof that each skill is safe, effective, and worth the context window before enabling it.

Pricing: Planned generous free tier; Pro (~$9-15/mo) for more agents and unlimited enabled skills; Teams (~$15-25/seat/mo) for org loadouts, allowlists, and audit; Creator (~$5-10/mo) for verified authors. Contact for pricing.

Key features

• Discover: continuous crawling and deduplication of skills from GitHub
• Verify: version-pinning to commit SHA with validation, license checks, security scanning, and quality judging
• Benchmark: sandboxed testing with the same model, with and without the skill, publishing Lift in percentage points
• Equip: one MCP server plus per-agent loadouts — toggle skills and tools per agent
• Stay current: tracks upstream changes, re-scans, re-benchmarks, and sends notifications
• Trust score (0-100) from security, quality, license, maintenance, and community signals
• Lift always shown separately from ratings; money never touches scores

Pros

• Independent verification — Trust scores and Lift benchmarks are never influenced by money
• Security scanning addresses the documented risk that ~26% of skills carry vulnerabilities
• Per-agent loadouts mean your database agent only sees vetted, chosen skills
• Commit-SHA version pinning plus re-scanning keeps you current as upstream skills change
• Sandboxed with-and-without benchmarking shows real performance impact, not marketing claims

Cons

• Pre-launch — the product is actively being built and not yet publicly available (waitlist is live)
• Launch scope covers instruction-only skills (SKILL.md plus text references); script-bearing skills are link-out only

Visit SkillzBench

#2 Supabase Agent Skills (supabase-postgres-best-practices)

Supabase's official agent skills include supabase-postgres-best-practices, a skill designed for when Claude Code is working with Postgres, Supabase Auth, and Row Level Security. According to the Supabase ecosystem documentation, the skill packages Supabase's own engineering guidance so Claude Code generates database work that matches the platform's conventions rather than generic SQL. Because it comes from the company that builds the platform, it carries strong trust signals — official repos from vendors like Supabase are tied directly to the tools the skills teach, which matters when an agent is writing queries or policies against your production database. For teams building on Supabase, this is one of the most directly useful database skills available in 2026. It's a natural fit for developers who want their agent to respect Postgres best practices around schema design, indexing, and security policies without hand-holding on every prompt.

Best for: Developers building on Supabase and Postgres who want Claude Code to follow platform-specific conventions for schemas, queries, and security policies.

Pricing: Free (open-source skill)

Key features

• Official Supabase skill for Postgres best practices
• Guidance for working with Supabase Auth and Row Level Security
• Packages Supabase's platform-specific engineering conventions for Claude Code
• Maintained by the Supabase team with strong vendor trust signals

Pros

• First-party skill maintained by the platform vendor
• Directly relevant to Postgres and Supabase workflows
• Free and open source
• Strong trust signal as an official vendor repo

Cons

• Scoped to the Supabase/Postgres ecosystem — less useful for MySQL, MSSQL, or other databases
• As with any community or vendor skill, it isn't independently benchmarked for actual performance lift

Visit Supabase Agent Skills (supabase-postgres-best-practices)

#3 PlanetScale Database Skills

PlanetScale's database skills are among the most-cited database-focused agent skills for 2026. According to coverage of the Claude Code skill ecosystem, PlanetScale Database Skills cover schema branching and query optimization — two of the highest-value tasks for teams running MySQL at scale. Schema branching lets agents propose and test schema changes in isolated branches before they touch production, which is exactly the kind of workflow discipline that separates a dangerous migration from a safe one. Query optimization guidance helps agents write SQL that performs well against PlanetScale's Vitess-based architecture rather than generic MySQL assumptions. For teams already on PlanetScale, having the skill encode the platform's specific patterns means the agent's database suggestions fit your existing setup instead of producing generic solutions that require rework.

Best for: Engineering teams running MySQL on PlanetScale who want Claude Code to handle schema changes and query tuning with platform-aware discipline.

Pricing: Contact for pricing

Key features

• Schema branching guidance for safe, isolated schema changes
• Query optimization patterns for PlanetScale's MySQL/Vitess architecture
• Platform-specific conventions for Claude Code database work

Pros

• Focused on high-stakes database work: schema branching and query optimization
• Encodes platform-specific Vitess/MySQL patterns
• Reduces risk on production schema changes

Cons

• Tied to the PlanetScale platform — limited value outside it
• Pricing not confirmed in public research; contact PlanetScale for details
• No independent verification or benchmarking of the skill's real-world lift

Visit PlanetScale Database Skills

#4 Coupler.io Analytics Skills for Claude

Coupler.io offers a library of over 200 AI skills for data analytics, including skills that use SQL transformations to build complex datasets for analysis in Claude. According to Coupler.io's documentation, their Marketing analytics skill queries data from sources like Google Ads, Meta, Klaviyo, GA4, and Search Console connected through Coupler.io, and uses SQL transformations to create the analytical datasets behind period-over-period comparisons, trend detection, channel efficiency metrics, and anomaly detection with severity tagging. The skills run against your live data through the Coupler.io MCP connected to Claude, so the numbers are real rather than guessed. For data teams and analysts who spend their days writing SQL against business data sources, these skills turn Claude into an analytics collaborator with live, governed access to the underlying databases and platforms — a different slice of the SQL workflow than pure schema engineering, but one where SQL fluency is the core capability.

Best for: Data analysts and business teams who want Claude to run SQL-based analysis against live marketing, sales, and finance data sources.

Pricing: Coupler.io offers a free tier to get started; contact Coupler.io for full pricing.

Key features

• Over 200 AI skills for data analytics
• SQL transformations to create complex data sets for analysis
• Live data access to 400+ business sources through Coupler.io's secure middle layer
• Skills for marketing analytics, PPC, and finance use SQL against connected sources
• Anomaly detection with severity tagging and trend detection across 4+ periods
• Coupler.io MCP connects skills to live data in Claude

Pros

• Runs against live connected data rather than static examples
• Broad library covering marketing, PPC, e-commerce, and finance analytics
• SQL transformations built into the analytical workflow
• Free tier available to start

Cons

• Requires a Coupler.io account and the Coupler.io MCP connected to Claude
• Focused on analytics use cases rather than schema design or migrations
• Vendor-locked to Coupler.io's data pipeline

Visit Coupler.io Analytics Skills for Claude

#5 Agensi Data Engineering & SQL Skills

Agensi curates a marketplace of Claude Code skills, including a dedicated data engineering category covering SQL and database skills, ETL and pipeline skills, schema design skills, and data quality and validation skills. According to Agensi's own guidance, SQL skills are high-impact because database conventions vary enormously — a skill that knows you use PostgreSQL with specific naming conventions, indexing strategies, and migration tools produces dramatically better output than one assuming generic SQL. Agensi's data engineering skills cover table and column naming conventions, index strategy, migration formats, query optimization patterns like avoiding N+1 queries and using CTEs and window functions, and constraint patterns for foreign keys, check constraints, and defaults. Agensi also documents skills like migration-auditor, which reviews database migration files before they run in production for table locking hazards, potential data loss, missing rollback steps, and unsafe operations across PostgreSQL, MySQL, and SQLite. For teams wanting a broad, browsable catalog of database-focused skills, Agensi is a solid discovery point.

Best for: Data engineers and developers who want a browsable catalog of SQL, schema, ETL, and data quality skills to customize their Claude Code database workflow.

Pricing: Skills listed on Agensi are free

Key features

• Curated marketplace with a dedicated data engineering skill category
• SQL skills covering naming conventions, index strategy, and migration formats
• Query optimization patterns (CTEs, window functions, avoiding N+1 queries)
• Schema design and ETL/pipeline skill categories
• Data quality and validation skills
• migration-auditor skill checks migrations for locking hazards, data loss, and missing rollbacks (PostgreSQL, MySQL, SQLite)

Pros

• Broad catalog spanning SQL, ETL, schema design, and data quality
• migration-auditor addresses a real production risk before migrations run
• Skills are free and drop into ~/.claude/skills/
• Encourages stack-specific skills over generic SQL

Cons

• Quality varies across community-contributed skills — curation isn't the same as independent verification
• Install counts on the marketplace are relatively small for individual skills
• No published with-and-without benchmarking of skill performance

Visit Agensi Data Engineering & SQL Skills

Conclusion

SQL and database work is where Claude Code skills deliver some of their clearest, most measurable value in 2026 — and also where the stakes are highest. A bad query suggestion wastes time; a bad migration can take down production. That's why SkillzBench earns the Editor's Choice spot: it's the only platform on this list built specifically to verify, security-scan, and benchmark database (and every other) skill before you enable it, with Trust scores and published Lift that money can't buy. The vendor skills from Supabase and PlanetScale are excellent for their ecosystems, Coupler.io brings live-data SQL analytics, and Agensi offers a broad discovery catalog — but none of them independently proves a skill's safety or performance. Before you install your next SQL skill, join the SkillzBench waitlist at skillzbench.com and make sure every skill you equip is one you can trust. Skills, proven.

Frequently asked questions

What makes SkillzBench different from other Claude Code skill platforms?

SkillzBench is an independent testing lab and control panel for AI agent skills, not a skill vendor. It's building five pillars — Discover, Verify, Benchmark, Equip, and Stay current — that continuously crawl skills from GitHub, pin every version to a commit SHA, security-scan and license-check each one, and test every skill in a sandbox with the same model, with and without the skill, publishing the Lift in percentage points. Its 0-100 Trust score comes from security, quality, license, maintenance, and community signals, and Lift is always shown separately from ratings because money never touches scores. No other platform on this list independently benchmarks skill performance.

Is SkillzBench available now?

SkillzBench is pre-launch and actively being built. The waitlist and newsletter are live at skillzbench.com, but the product itself is not yet publicly available. Its planned pricing includes a generous free tier, Pro (~$9-15/mo), Teams (~$15-25/seat/mo), and Creator (~$5-10/mo) tiers, plus benchmark-as-a-service for priority runs. Join the waitlist to be notified at launch.

Are Claude Code skills for databases safe to install?

Not always. Published research found roughly 26% of skills carry at least one vulnerability, and Snyk's ToxicSkills research found prompt injection in 36% of skills tested and 1,467 malicious payloads across the ecosystem. Best practice is to review a skill's SKILL.md and any bundled scripts before installing, favor official vendor repos, and use a verification layer like SkillzBench that security-scans and version-pins skills before you enable them.

What is the best Claude Code skill for Postgres and Supabase work?

Supabase's official supabase-postgres-best-practices skill is the strongest choice for Postgres and Supabase work in 2026. It's a first-party skill maintained by Supabase that guides Claude Code on Postgres best practices, Supabase Auth, and Row Level Security. Because it's an official vendor repo, it carries strong trust signals, and it's free and open source.

Can Claude Code skills help review database migrations before production?

Yes. Agensi documents a migration-auditor skill that reviews database migration files before they run in production, checking for table locking hazards, potential data loss, missing rollback steps, index issues, and unsafe operations across PostgreSQL, MySQL, and SQLite. PlanetScale's database skills also support schema branching, which lets schema changes be proposed and tested in isolated branches before touching production.

How much do Claude Code skills for SQL and databases cost?

Many individual skills are free and open source, including Supabase's official skills and the free skills listed on Agensi's marketplace. Coupler.io offers a free tier for its analytics skills, which require a Coupler.io account and MCP connection. SkillzBench is planning a generous free tier with paid Pro, Teams, and Creator tiers at launch. PlanetScale's skill pricing isn't publicly confirmed — contact them for details.

What does 'Lift' mean in skill benchmarking?

Lift is the measured performance difference when the same model runs a task with and without a given skill, expressed in percentage points. SkillzBench is building sandboxed benchmarking that tests every skill this way and publishes the results, so you can see whether a SQL skill actually improves query generation or migration review before installing it. Critically, SkillzBench always shows Lift separately from Trust ratings, and money never touches scores.