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Found 35 Skills
In-process ClickHouse SQL engine for Python — run ClickHouse SQL queries directly on local files, remote databases, and cloud storage without a server. Use when the user wants to write SQL queries against Parquet/CSV/ JSON files, use ClickHouse table functions (mysql(), s3(), postgresql(), iceberg(), deltaLake() etc.), build stateful analytical pipelines with Session, use parametrized queries, window functions, or other advanced ClickHouse SQL features. Also use when the user explicitly mentions chdb.query(), ClickHouse SQL syntax, or wants cross-source SQL joins. Do NOT use for pandas-style DataFrame operations — use chdb-datastore instead.
Drop-in pandas replacement with ClickHouse performance. Use `import chdb.datastore as pd` (or `from datastore import DataStore`) and write standard pandas code — same API, 10-100x faster on large datasets. Supports 16+ data sources (MySQL, PostgreSQL, S3, MongoDB, ClickHouse, Iceberg, Delta Lake, etc.) and 10+ file formats (Parquet, CSV, JSON, Arrow, ORC, etc.) with cross-source joins. Use this skill when the user wants to analyze data with pandas-style syntax, speed up slow pandas code, query remote databases or cloud storage as DataFrames, or join data across different sources — even if they don't explicitly mention chdb or DataStore. Do NOT use for raw SQL queries, ClickHouse server administration, or non-Python languages.
Guides developers in selecting and implementing multi-region patterns for CockroachDB applications, covering active-passive vs active-active architectures, REGIONAL BY ROW, GLOBAL tables, manual geo-partitioning with lease preferences, and live demo setup with validation queries. Use when designing multi-region database topologies, choosing between REGIONAL BY ROW and manual partitioning, building multi-region demos, or optimizing cross-region latency.
Guides application developers in designing correct and performant transaction patterns for CockroachDB, covering transaction lifetime, implicit vs explicit transactions, retry handling with exponential backoff, pushing invariants into SQL, selective pessimistic locking, set-based operations, connection pooling, prepared statements, keyset pagination, follower reads, and separating business logic from database logic. Use when building applications on CockroachDB, designing transaction workflows, handling retries, optimizing application-layer database interactions, or configuring connection pools.
Monitors CockroachDB background job health by identifying failed, paused, and long-running jobs using SHOW JOBS and SHOW AUTOMATIC JOBS. Surfaces schema changes, backups/restores, automatic statistics collection, and SQL stats compaction jobs without DB Console access. Use when investigating schema change delays, failed backups, or automatic job issues.
Audits the security posture of a CockroachDB cluster (Cloud or self-hosted) across network, authentication, authorization, encryption, audit logging, and backup dimensions. Use when assessing cluster security readiness, preparing for compliance reviews, or investigating security configuration gaps.
Configures SQL audit logging on CockroachDB clusters to capture security-relevant events including authentication, privilege changes, and sensitive data access. Use when enabling audit logging for compliance, setting up role-based audit policies, or verifying audit configuration.
Help create git commits and PRs with properly formatted messages and release notes following CockroachDB conventions. Use when committing changes or creating pull requests.
Manages TLS certificates for CockroachDB clusters including CA certificate configuration, client certificate authentication, certificate rotation, and troubleshooting SSL/TLS connection errors. Use when setting up client certificate auth, resolving SSL connection failures, rotating certificates, or configuring mTLS for CDC changefeeds.
Hardens CockroachDB user privileges by auditing and tightening role-based access control, reducing admin grants, restricting PUBLIC role permissions, and applying least-privilege principles. Use when reducing excessive privileges, cleaning up admin access, or implementing RBAC best practices.
Reviews, audits, and modifies CockroachDB cluster settings. Self-Hosted has full control over all settings and start flags. Advanced/BYOC can modify most SQL-level settings but infrastructure settings are managed by CRL. Standard has limited settings access — session variables are the primary tuning mechanism. Basic has minimal settings — use session variables and Cloud Console. Use when auditing configuration, tuning performance, or troubleshooting settings-related issues.
Estimates storage requirements for CockroachDB online schema change backfills using SHOW RANGES WITH DETAILS, KEYS, INDEXES. Use before CREATE INDEX, ADD COLUMN with INDEX/UNIQUE, ALTER PRIMARY KEY, CREATE MATERIALIZED VIEW, CREATE TABLE AS, REFRESH, or SET LOCALITY on tables with large per-index footprints, to avoid mid-backfill disk exhaustion.