Skill UI

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Provides quick diagnostics and escalation guidance for Speak runtime failures, helping engineers interpret logs and apply documented fixes when sessions fail, rate limits trigger, or audio processing breaks during language learning integrations.

Guides engineering and product teams through the large-scale re-architecture needed when migrating to or from Speak, covering assessments, Strangler Fig deployments, audio/data migration, rollback rehearsals, and post-cutover validation.

Guides Spring Boot 3.x engineers through configuration scaffolds, REST controllers, Spring Security 6 authentication flows, Spring Data JPA repositories, and reactive WebFlux endpoints, making it easier to build microservices and Java REST APIs.

Guides Java engineers through Spring Boot backend architecture, REST API design, service layering, repository patterns, caching, async handlers, logging, middleware, and resilience practices for scalable production services.

Checklist covering Spring Security best practices for authentication, authorization, validation, CSRF, secrets, headers, rate limiting, dependency scans, and logging in Java Spring Boot services.

Structured pre-PR verification loop for Spring Boot projects that runs fast-build checks, static analysis, tests with coverage, security scans, formatting gates, and diff reviews to catch issues before deployment.

This skill provides systematic patterns and best practices for transforming slow database queries into lightning-fast operations. It covers advanced topics such as proper indexing strategies, detailed query plan analysis (EXPLAIN), resolving common issues like N+1 problems, and designing highly performant database schemas. Use this when debugging performance bottlenecks, improving application response times, or ensuring scalability for growing datasets.

Provides SRE guidance for defining SLIs/SLOs, managing error budgets, automating toil, and configuring monitoring/alerting so teams can scale reliable services and respond to incidents effectively.

Orchestrates Statuscake monitoring tasks through Rube MCP and Composio toolkits, guiding workflow discovery, connection checks, and schema-compliant executions for reliable automation.

Scans Substrate/Polkadot FRAME pallets for seven critical vulnerabilities such as arithmetic overflow, panic DoS, incorrect weights, unsigned validation issues, bad randomness, and origin flaws, making it ideal for runtime audits and pre-launch security assessments.

Apply Supabase advanced debugging techniques when routine troubleshooting falls short, collecting evidence bundles, isolating failure layers, and building minimal reproductions before escalating to support.