Trace a request through a codebase
Follow one request from entry point to storage or external boundary with concrete file references.
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Follow one request from entry point to storage or external boundary with concrete file references.
Reduce a reported defect to a small repeatable case before proposing a fix.
Inspect validation, error contracts, and authorization around one API endpoint.
Check transitions and side effects across loading, success, failure, and cancellation states.
Derive a focused verification set from changed behavior and affected callers.
Map a dependency upgrade's affected usage and verification needs before changing versions.
Analyze query correctness, parameter handling, and result assumptions using the supplied schema.
Check a supplied component's semantics, keyboard flow, and state announcements.
Find configuration drift without printing secret values or assuming every difference is wrong.
Separate the failing assertion, likely affected behavior, and evidence needed for diagnosis.
Give Claude Code a focused review workflow for an existing diff.
Production readiness checklist for ClickHouse \u2014 server tuning,\
Production-ready patterns for @clickhouse/client \u2014 streaming inserts,\
Secure ClickHouse with user management, network restrictions, TLS, and
Diagnose and fix the top 15 ClickHouse errors \u2014 query failures,\
Configure ClickHouse enterprise RBAC \u2014 SQL-based users, roles,\
Install @clickhouse/client and configure authentication to ClickHouse
Execute ClickHouse schema migrations \u2014 ALTER TABLE operations,\
Configure ClickHouse query concurrency, memory quotas, and connection
Upgrade ClickHouse server versions and @clickhouse/client SDK safely.
Implement Snowflake reliability patterns: replication, failover, Time
Collect ClickHouse diagnostic data \u2014 system tables, query logs,\
Use when building database queries with frappe.qb in Frappe v14-v16. Covers the PyPika-based query builder: SELECT, INSERT, UPDATE, DELETE, joins, aggregation, subqueries, cross-DB compatibility (MariaDB/PostgreSQL), and migration from raw SQL. Prevents SQL injection and DB-specific bugs. Keyword...
Handle data lifecycle in ClickHouse — TTL expiration, data deletion (GDPR), column-level encryption, and audit logging with real ClickHouse SQL. Use when implementing data retention, GDPR deletion requests, or managing sensitive data in ClickHouse. Trigger: "clickhouse data retention", "clickhous...
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