Explore skills

Checks diagnosability through structured logs, metrics, traces, correlation IDs, and useful log levels. Use when auditing incident visibility.

Checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Use when implementation tasks are Done and need quality scoring.

Finds code that can be safely deleted: unreachable, unused, obsolete compatibility, and commented-out code. Use when pruning dead code.

Checks runtime lifecycle and config validation: bootstrap, shutdown, probes, cleanup, env sync, and fail-fast startup. Use for runtime readiness.

Checks evidence-backed duplication, over-abstraction, and unused extensibility. Use when auditing DRY/KISS/YAGNI risk.

Audits whether one implemented architectural pattern fits project needs and best practices. Use when checking pattern fitness.

Checks redundant fetches, N+1 loops, over-fetching, missing bulk operations, wrong caching scope. Use when auditing query efficiency.

Checks session scope mismatch, missing cleanup, pool config, error path leaks, resource holding. Use when auditing resource lifecycle.

Builds dependency topology, detects cycles, validates import rules, and calculates coupling metrics. Use when auditing architecture topology.

Audits architecture config boundaries: typed settings, scattered env reads, config leakage, and layer ownership. Use for config architecture.

Checks transaction scope, missing rollback handling, long-held transactions, trigger/notify interaction. Use when auditing transaction correctness.

Finds architecture-level modernization opportunities: obsolete custom mechanisms, overbuilt extension points, and simplifiable architecture. Use when auditing architecture evolution.