error-analysis

Installation
SKILL.md

Error Analysis

Guide the user through reading LLM pipeline traces and building a catalog of how the system fails.

Overview

  1. Collect ~100 representative traces
  2. Read each trace, judge pass/fail, and note what went wrong
  3. Group similar failures into categories
  4. Label every trace against those categories
  5. Compute failure rates to prioritize what to fix

Core Process

Step 1: Collect Traces

Capture the full trace: input, all intermediate LLM calls, tool uses, retrieved documents, reasoning steps, and final output.

Target: ~100 traces. This is roughly where new traces stop revealing new kinds of failures. The number depends on system complexity.

Installs
763
GitHub Stars
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First Seen
Mar 3, 2026