troubleshoot

Analyze session debug logs to diagnose unexpected chat agent behavior.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/THRISHAL12345/Project_X --skill troubleshoot-thrishal12345
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: troubleshoot
Source: https://github.com/THRISHAL12345/Project_X/tree/main/apps/vscode-fork/extensions/copilot/assets/prompts/skills/troubleshoot
Command: npx skills add https://github.com/THRISHAL12345/Project_X --skill troubleshoot-thrishal12345

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you understand unexpected chat agent behavior by reading direct debug logs and turning them into evidence-based explanations. It is useful when you need to know why a request was slow, why a tool or subagent ran or was skipped, or why instructions, skills, or agents did not load.

Core Features & Use Cases

  • Behavior analysis: Trace what happened during a chat session and connect it to the relevant log evidence.
  • Latency and failure checks: Identify slow turns, tool errors, blocked calls, and model issues.
  • Customization troubleshooting: Diagnose loading problems for instructions, skills, agents, system prompts, and tool definitions.
  • Use case: A developer notices Copilot ignored a skill or used the wrong model and wants a precise explanation backed by the session logs.

Quick Start

Use the troubleshoot skill to explain why my Copilot chat session loaded a skill slowly and skipped a tool call.

Frequently Asked Questions about troubleshoot

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

FAQPage Schema
How do I debug why Copilot chat ignored a skill or used the wrong model?

To diagnose slow Copilot chat turns or blocked tool calls, analyze session debug logs to trace model requests and tool definitions. This process correlates subagent activity and loading events to pinpoint latency sources and identify why specific tool calls were blocked.

How do I troubleshoot missing instructions or system prompts in Copilot sessions?

Troubleshooting missing instructions or system prompts in Copilot sessions requires examining debug logs for customization loading events. This approach traces session-level behavior changes and verifies whether specific system prompts, agents, or instructions failed to load properly.

What is the best way to investigate unexpected chat agent behavior in Copilot?

The best way to investigate unexpected chat agent behavior is by reading direct debug logs and correlating model requests with subagent activity. This method turns raw session logs into evidence-based explanations for anomalies like skipped skills or slow turns.

Does troubleshooting Copilot chat sessions require direct evidence from debug logs?

Yes, troubleshooting Copilot chat sessions requires direct evidence from debug logs. The diagnosis of system prompts, tool definitions, and session-level behavior changes relies entirely on correlating actual model requests and tool calls rather than speculation.

Can I trace subagent activity and tool definitions during a Copilot chat session?

Yes, you can trace subagent activity and tool definitions during a Copilot chat session by analyzing debug logs. This process correlates subagent activity with model requests to verify tool definitions and explain session-level behavior changes.