Testing & Debugging for Claude Code

Triage a failed or slow Databricks cluster by fanning out parallel root-cause threads — one per cause class (provisioning, network/NPIP, init-script, driver, spot/shuffle) — over the cluster's live event stream, then aggregate to the single most-likely cause with its evidence. Use when a cluster failed to start, died mid-run, or is inexplicably slow. Trigger with "why did this cluster fail", "investigate cluster", "triage cluster start".

Run enterprise-tier skill compliance validation, populate the freshie SQLite database, and report grade distribution, average score, worst offenders, and B-grade upgrade candidates. Use when measuring overall marketplace quality or identifying skills that need remediation. Trigger with \"run compliance validation\", \"grade the inventory\".

> Validate API contracts with consumer-driven testing and OpenAPI validation

Create intelligent alerting rules

Create load test scenarios and scripts

Create a mock API server for testing

Create API monitoring dashboard

Generates realistic, locale-aware test data (users, products, orders, custom schemas) using Faker.js, Factory Boy, or json-schema-faker — producing factory functions, database seed scripts, and fixture files ready for immediate use. Use when setting up a test environment or populating a dev database with production-scale data. Trigger with \"generate test data\", \"create seed data factories\".

Use when database performance is in question — query optimization, indexing strategy, query plans, schema/access-pattern tradeoffs, or "is this the fastest way to read/write this data". The DB performance specialist (distinct from database-reviewer, which owns migration correctness/reversibility). Verifies against the db and performance persona standards.

Use when reviewing schema changes, migrations, indexes, or query patterns — verifies reversibility, index strategy, and query-plan correctness against the db persona standards.

> Compare database schemas and generate safe migration scripts with rollback...

> Database testing with test data setup, transaction rollback, and schema...

Scan a job's code and JARs for the Databricks Runtime upgrade landmines (DBR-14 CWD 500MB cap, DBR-15.1 JDK-11 removal) before bumping the runtime.

Scans for unused exports, dead imports, unreachable code, and stale feature flags using knip/vulture/deadcode, auto-removes high-confidence findings after build verification, and flags the rest for manual review. Use when cleaning up a codebase before a refactor or release. Trigger with "find dead code", "remove unused exports".

> Detect and resolve database deadlocks with automated monitoring

Debug API failures using OpenAPI specs and HTTP logs

Use when finding the root cause of a bug, failing test, or regression — runs systematic 5-Whys and parallel hypothesis testing before any patch. The root-cause investigator behind /hyperflow:trace.

Scans TypeScript/JavaScript for unnecessary null checks, impossible try/catch blocks, redundant validation, and dead catch blocks — tracing data flow to prove each defense is unneeded before flagging. Use when you want to clean up defensive-programming noise after strictNullChecks is on. Trigger with \"find unnecessary null checks\", \"audit defensive code\".

Detect performance bottlenecks in application

Detect potential memory leaks in code

Detect performance regressions in CI/CD

DESCRIPTION_PLACEHOLDER

Use when reviewing CI/CD pipelines, infrastructure-as-code, container/build config, deployment, or observability changes — verifies operational safety against the devops persona standards.

Set up and manage isolated test environments

Designs statistically rigorous experiments — A/B tests, power analysis, variance reduction, and causal inference frameworks. Use when designing an experiment, analyzing test results for validity, or auditing experimentation infrastructure. Trigger with \"design A/B test\", \"review experiment methodology\".

Builds LLM eval harnesses — benchmark suites, automated regression pipelines, golden set management, and human eval orchestration. Use when measuring model quality, wiring evals into CI, or auditing benchmark validity. Trigger with \"design eval harness\", \"build LLM regression suite\".

Emergency incident response procedures for critical FairDB issues

Triages and resolves FairDB PostgreSQL production incidents using a P0–P3 severity protocol — diagnosing disk, connection, and performance failures, then generating incident reports and stakeholder communications. Use when a FairDB database is down or degraded. Trigger with "database is down", "FairDB incident".

Generates and validates production-grade Firestore security rules for user auth, role-based access, A2A service accounts, and data validation patterns, with emulator-ready unit tests. Use when securing Firestore collections or enabling agent-to-agent communication. Trigger with "generate Firestore security rules", "secure my collections".

Check if files are properly formatted without making changes

Fuzz test APIs with malformed inputs and edge cases

Audits UI code for WCAG 2.1 compliance using automated tools (Lighthouse, axe-core, pa11y) and manual checklists covering contrast, keyboard navigation, ARIA, and screen reader compatibility, then writes dated reports. Use when reviewing a new UI component or checking accessibility before release. Trigger with "check accessibility", "a11y audit for X".

Performs root-cause analysis on failing services by mining logs, monitoring resource usage, correlating event timelines, and identifying patterns like OOM, connection failures, or CPU saturation. Use when a service crashes repeatedly or a health check fails. Trigger with "diagnose this crash", "find the root cause".

Flask specialist for building, reviewing, and debugging Flask apps — blueprints, app factory, extensions, error handling, deployment. Use when creating a Flask API or diagnosing Flask-specific issues. Trigger with \"build a Flask app\", \"debug my Flask routes\".

Godot Engine 4.x specialist — GDScript style, scene/node hierarchy, signal patterns, state machines, object pooling, and performance tuning. Use when building or debugging a Godot project. Trigger with \"help with my Godot game\", \"design this Godot scene\".

Coordinates accessibility, performance, API design, and dependency audit agents in parallel to produce a scored quality report. Use when running a pre-release gate or investigating multi-domain quality issues. Trigger with \"run a quality audit\", \"check this app for quality issues\".

Profiles applications, identifies bottlenecks (DB, I/O, memory, CPU), and produces optimization recommendations with benchmarked metrics. Use when an app is slow, traffic is scaling, or you need a pre-release performance baseline. Trigger with \"profile this service\", \"find performance bottlenecks\".

Implements and reviews React components using modern hooks, state management, and performance patterns (memoization, virtualization, code splitting) with TypeScript. Use when architecting components, debugging re-renders, or choosing a state strategy. Trigger with \"build this React component\", \"review my React code\".