Skill UI

Leadfeeder Automation Guide explains how to connect Rube MCP and Composio to discover schemas, manage connections, and run Leadfeeder tools reliably, prioritizing search-before-execute and session reuse for automated workflows.

Automated guidance for model explainability tooling within ML training workflows, giving step-by-step best practices, production-ready code, and validation for experiments whenever users mention explainability tool needs.

Walks through n8n validation feedback, from errors to warnings and suggestions, and explains profiles and loops so you can interpret results, fix config mistakes, and deploy reliably.

Comprehensive guide that explains how to diagnose and fix OpenEvidence API errors for clinical use, covering error code tables, custom error classes, handler wrappers, and retry/backoff tactics for failed requests.

Explain OpenRouter pricing, cost estimation, and efficient model selection to support budgeting and integration decisions. Use when estimating token expenses, aligning configurations, and validating API connectivity.

A comprehensive skill guide for senior PostgreSQL administrators. It covers deep expertise in performance tuning using EXPLAIN ANALYZE, implementing advanced indexing strategies (GIN, GiST), setting up high availability via streaming or logical replication, and maintaining database health through VACUUM and pg_stat monitoring. Essential for optimizing complex, production-grade, and mission-critical database workloads.

Explains how to create route.ts endpoints in the Next.js App Router, covering HTTP methods, request/response handling, streaming, cookies, redirects, CORS, and caching so you can build REST APIs.

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.

This skill specializes in optimizing complex SQL queries, designing efficient database schemas, and diagnosing performance bottlenecks across various SQL dialects (PostgreSQL, MySQL, SQL Server, etc.). Use it when dealing with slow queries, complex data aggregation, advanced joins, or when needing to implement best practices like CTEs, window functions, and covering indexes. It provides deep analysis of execution plans (EXPLAIN/ANALYZE) to ensure peak data retrieval performance.

Assists API developers by recommending appropriate status codes, explaining patterns, and generating production-ready REST/GraphQL/OpenAPI snippets with validations.

Assists with API integration timeout handler tasks by auto-activating on relevant triggers, explaining best practices, and generating production-ready code/configurations validated against common standards.

Analyzes tweet drafts through Twitter’s recommendation architecture to rewrite and edit content, explain what the algorithms favor, and surface engagement tactics that align with Real-graph, SimClusters, TwHIN, and Tweepcred signals for broader reach.