trace-qa
CommunityDebug and understand agent traces.
Software Engineering#debugging#performance review#python scripts#agent execution#trace analysis#llm calls
AuthorMooseGoose0701
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you understand and debug agent execution traces by providing tools to analyze what happened during an agent run, why it might have failed, and its efficiency.
Core Features & Use Cases
- Trace Analysis: Get an overview of trace status, duration, token usage, and tool calls.
- Step-by-Step Debugging: Drill down into specific steps or LLM calls within a trace to inspect inputs, outputs, and errors.
- Efficiency Review: Analyze token consumption per LLM call to identify areas for optimization.
- Use Case: When an agent run fails, use this skill to quickly pinpoint the exact step and reason for the failure by examining the trace details.
Quick Start
Get a summary overview of the agent execution trace with ID 'trace_123'.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: trace-qa Download link: https://github.com/MooseGoose0701/skill-compose/archive/main.zip#trace-qa Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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