new-analyzer
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
121 skills found
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Analyze and audit Excel spreadsheets to understand logic, identify formula errors, detect risks, and generate documentation for legacy or unknown files.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.
Build responsive React dashboards using TypeScript, shadcn/ui, TanStack Query, and Supabase. Ideal for creating KPI cards, data tables, charts with Recharts, and admin interfaces for event-studio.
Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Expert database design and access patterns: schema architecture, indexing strategies, query optimization, repository patterns, and transaction management for SQL and NoSQL databases.
Analyze and debug fast-agent session histories, tool execution logs, and conversation timing to resolve performance bottlenecks, tool loops, and unexpected session terminations.
Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.
Deep document structure analysis and intelligent content extraction for knowledge bases.
Validates Excel exports for Customer Feedback Analyzer with 7 specific view sheets, 36 columns, and precise color-coded formatting. Ensures zero errors in customer-facing deliverables.
Correlate content attributes with GA4 and GSC metrics to identify performance drivers and optimization opportunities.