tayari-debugging-playbook

Diagnose technical failure modes in the Tayari Skill Boost microservices architecture.

Updated Jan 20, 2026
One-click install
npx skills add https://github.com/Harshodai/tayari-skill-boost --skill tayari-debugging-playbook
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tayari-debugging-playbook
Source: https://github.com/Harshodai/tayari-skill-boost/tree/main/.claude/skills/tayari-debugging-playbook
Command: npx skills add https://github.com/Harshodai/tayari-skill-boost --skill tayari-debugging-playbook

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, high-speed triage protocol for diagnosing and resolving specific failure modes within the Tayari Skill Boost platform, preventing time lost on generic troubleshooting.

Core Features & Use Cases

  • Symptom-Based Triage: Maps specific errors like HTTP 500s, CORS rejections, or AI output anomalies to their root causes and discriminating experiments.
  • Environment Validation: Quickly identifies if the issue stems from container profiles, LLM configuration, or environment variable mismatches.
  • Use Case: When the AI engine returns generic or fake-looking output, use this Skill to verify if the LLM provider is correctly configured or if the system has fallen back to the mock-masking mode.

Quick Start

Run the tayari-debugging-playbook to identify the root cause of the current system error by following the triage table and executing the recommended discriminating experiment.

Frequently Asked Questions about tayari-debugging-playbook

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

FAQPage Schema
How do I debug HTTP 500 errors in microservices?

To debug HTTP 500 errors in microservices, map the symptom to a specific root cause using a triage table, then execute a discriminating experiment to validate environment variables or container profiles. This structured triage protocol prevents time lost on generic troubleshooting steps.

Why does my LLM provider integration return fake-looking output?

LLM provider integration returns fake-looking output when the system falls back to a mock-masking mode due to incorrect configuration. Validate your LLM provider settings and environment variables to verify if the active engine is correctly configured to handle requests.

What is the best way to triage API gateway connectivity issues?

The best way to triage API gateway connectivity issues is applying an evidence-based incident response protocol that runs discriminating experiments. This quickly identifies whether failures stem from frontend-backend communication errors or environment mismatches.

How do I troubleshoot Docker container environment variable mismatches?

Troubleshoot Docker container environment variable mismatches by validating container profiles against the required configuration. Execute targeted diagnostic experiments to isolate whether the deployment failure originates from the container environment or the microservices architecture.

Does this debugging approach work for CORS rejection errors?

Yes, this debugging approach works for CORS rejection errors by mapping them to their root causes through symptom-based triage. It applies evidence-based incident response to identify if the error stems from API gateway connectivity or frontend-backend misconfigurations.