rag_diagnostics

Diagnose missing subtitles and ingestion gaps in RAG pipelines.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/MichaelYagi/mcp_a2a --skill rag-diagnostics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rag_diagnostics
Source: https://github.com/MichaelYagi/mcp_a2a/tree/main/servers/rag/skills/rag_diagnostics
Command: npx skills add https://github.com/MichaelYagi/mcp_a2a --skill rag-diagnostics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill diagnoses gaps in the RAG database by identifying missing subtitles, incomplete ingestion, and other data quality issues in the RAG pipeline.

Core Features & Use Cases

  • Gap detection: Identify missing subtitles and ingestion failures across RAG sources.
  • Ingestion integrity: Verify Plex and related ingestion workflows for completeness.
  • Remediation guidance: Provide actionable diagnostics and remediation recommendations to fix data quality issues.

Quick Start

Use the rag diagnostics tool to scan your RAG database for missing subtitles, incomplete ingestion, and data quality issues.

Frequently Asked Questions about rag_diagnostics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose missing subtitles in my RAG pipeline?

To diagnose missing subtitles in your RAG pipeline, you can scan your RAG data store to identify ingestion failures and surface data quality issues. This process generates a structured diagnostic report highlighting specific gaps for remediation planning.

What causes incomplete ingestion in a Plex media library RAG setup?

Incomplete ingestion in a Plex RAG setup occurs when media library workflows fail to fully process and index entries. Running a diagnostic scan identifies these specific ingestion failures and missing data entries across your RAG sources.

Does RAG diagnostics work with Plex ingestion workflows?

Yes, RAG diagnostics applies to media libraries and knowledge bases that rely on Plex ingestion and subtitle workflows. It verifies the completeness of these related ingestion workflows and surfaces any missing subtitles or problematic entries.

Do I need the rag_diagnose_tool to check my RAG data store for data quality issues?

Yes, you need the rag_diagnose_tool to be available in your environment to check your RAG data store. The tool performs the diagnostic scan to identify problematic entries and produces a structured report for remediation.

What is the best way to identify data quality gaps in a RAG database?

The best way to identify RAG database data quality gaps is to run a diagnostic scan that checks for missing subtitles, incomplete ingestion, and problematic entries. This approach provides actionable diagnostics and remediation recommendations to fix the issues.

Why does my RAG pipeline return incomplete or missing data entries?

Your RAG pipeline returns incomplete data when ingestion workflows fail to process media library sources fully. A diagnostic scan identifies these exact ingestion failures and missing subtitles, producing a structured report to guide your remediation efforts.