snowflake-explore
Skill from Snowflake-Labs/snowflake-ai-kit
Install
npx skills add Snowflake-Labs/snowflake-ai-kit --skill snowflake-explore
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
What does the snowflake-explore skill do?
Description from the SKILL.md in the source repository.
Works with The Snowflake AI Data Cloud
Questions about snowflake-explore
What does the snowflake-explore skill do?
Discover databases, schemas, tables, views, and columns in Snowflake. Use when the user wants to understand what data is available or inspect table structure.
How do I install snowflake-explore?
In a terminal: npx skills add Snowflake-Labs/snowflake-ai-kit --skill snowflake-explore. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use snowflake-explore?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is snowflake-explore safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
Which tool is snowflake-explore for?
snowflake-explore comes from the makers of The Snowflake AI Data Cloud and helps your agent work with it.
More skills from Snowflake-Labs/snowflake-ai-kit
Auto-routing skill loaded by the prompt filter hook. Routes Snowflake-related operations to Cortex Code CLI. Not for direct invocation — use $cortex-run instead.
ONLY load this skill when the user explicitly types $cortex-run or /cortex-run. NEVER load this skill from auto-routing hooks or keyword matching. For auto-routed prompts, use snowflake-cortex-code:cortex-router instead.
Use Cortex AI services — Cortex Analyst for natural-language-to-SQL through semantic views, Cortex Search for semantic search, and Cortex Agents for orchestrated AI tasks.
Manage Database Change Management (DCM) projects in Snowflake. DCM is infrastructure-as-code for Snowflake objects — databases, schemas, tables, and roles defined in manifest.yml with DEFINE blocks.
Audit data access, inspect masking and row access policies, review tags and classification, and analyze role hierarchies and grants in Snowflake.
Monitor and manage Snowflake data pipelines — Dynamic Tables, streams, tasks, dbt projects, and Snowpipe. Check refresh status, diagnose failures, and inspect pipeline dependencies.
Run SQL queries against Snowflake through the Managed MCP Server. Use for data retrieval, aggregations, joins, semi-structured data, time travel, and any explicit SQL the user requests.
Create, inspect, and manage semantic views in Snowflake. Semantic views define the governed data model (entities, dimensions, metrics, relationships) that Cortex Analyst queries through.
Related skills in Data & Databases
About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
Deprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.
Deprecated compatibility name for prisma-postgres-setup. Use only when a user or existing integration explicitly invokes prisma-postgres; otherwise select prisma-postgres-setup.
Obtain or reuse a Prisma Postgres database and connect an application. Use when the user needs a database and has none configured ("I need a database", "add a Postgres database", "set up a database for this app"), runs or mentions `create-db` or `npx create-db`, or asks to set up or connect Prisma Postgres, including in v0 and the Vercel Marketplace. Hands Prisma ORM configuration to prisma-orm-setup; reuses an existing connection first and honors an explicit provider, driver, alternative ORM, or database-only choice.
Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, original database-error preservation, and verification.
Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse).
Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching (including schema-only, reset-from-parent, and branch-per-PR workflows), autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, egress optimization, and Lakebase Search. Use when the work is an existing DATABASE_URL, SQL, schema, inspect, or search. New backends, Auth, files, Functions, and LLM calls go to the parent `neon` skill. Live queries, reactive UIs, and realtime data go to `neon-realtime`. Also use for "@neondatabase/serverless", "@neon/neon-js", "neon inspect db", "neon postgres computes", "Neon branch", "schema-only branch", "reset branch", "branch per PR", high database bills, network transfer or egress, SELECT * optimization, query overfetching, "semantic search", "vector search", "full-text search", "BM25", or "hybrid search".