mcp-prompts
An intelligent development orchestration skill that provides self-improving code analysis, build error diagnosis, and automated workflow configuration via mcp-prompts integration.
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An intelligent development orchestration skill that provides self-improving code analysis, build error diagnosis, and automated workflow configuration via mcp-prompts integration.
CLI tool to bundle repository context, files, and prompts into a one-shot request for advanced AI debugging, refactoring, and code review.
React composition patterns for scalable codebases. Refactor complex components, build flexible libraries, and implement compound components or React 19 architecture patterns.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
Review backend pull requests with security enforcement and GitHub CLI integration in a strict read-only environment.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
A secure Git commit workflow agent that prevents accidental mass commits and promotes surgical, file-specific staging and semantic commits.
Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Semantic Go code navigation and analysis tool using the Language Server Protocol (LSP) for accurate, high-performance project intelligence.