debug-agent-from-traces
OfficialDiagnose LLM agent issues with trace analysis
AuthorContextJet-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps diagnose issues with LLM agents by analyzing their observability traces, enabling users to identify the root cause of problems like incorrect results, empty outputs, slow performance, or high costs.
Core Features & Use Cases
- Trace Analysis: Analyze observability traces to diagnose issues with LLM agents.
- Symptom Triage: Offers guidance on where to look first based on symptoms like wrong answers, empty outputs, slow performance, or high costs.
- Systematic Walk: Provides a systematic approach to walk through the trace tree and identify the divergence point.
- Common Root Causes: Identifies common root causes of issues, such as wrong/empty retrieved context, prompt/template rendering bugs, swallowed exceptions, retry storms, and context bloat.
- Regression Testing: Encourages turning fixes into regression tests to prevent future issues.
Quick Start
Analyze the trace of your LLM agent to identify the cause of a slow response by running the debug-agent-from-traces skill.
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: debug-agent-from-traces Download link: https://github.com/ContextJet-ai/awesome-llm-observability/archive/main.zip#debug-agent-from-traces Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.