trace-analysis
Analyzes past learnings and failure logs to discover recurring issues and optimize future behavior.
Install
mkdir -p .claude/skills/trace-analysis && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13159" && unzip -o skill.zip -d .claude/skills/trace-analysis && rm skill.zipInstalls to .claude/skills/trace-analysis
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use during retrospective or when trying to understand recurring failure patterns across sessions, based on historical learnings data in .agent-harness/learnings.jsonl.Key capabilities
- →Classify failure patterns from historical learnings data
- →Identify recurring failure modes across sessions
- →Prioritize skill improvements based on analyzer output
- →Match analyzer recommendations to skill invocations
- →Interpret output to understand systemic issues
How it works
This skill uses a trace analyzer script to classify failure patterns like 'loop' or 'drift' from historical session data. It then sorts these patterns by count to prioritize improvements.
Inputs & outputs
When to use trace-analysis
- →Conduct retrospective
- →Analyze failure trends
- →Improve agent reliability
- →Debug agent behavior
About trace-analysis
Classifies failures (e.g., loops, drift) from log files. Helps developers prioritize skill improvements based on actual session data.
Use during retrospective or when trying to understand recurring failure patterns across sessions, based on historical learnings data in .agent-harness/learnings.jsonl.
When not to use it
- →When treating one learning as a pattern (requires 3+ occurrences)
- →When skipping analysis because learnings are sparse
- →When acting on every pattern at once
Limitations
- →Requires historical learnings data in `.agent-harness/learnings.jsonl`
- →Needs 3+ occurrences to confirm a real pattern
- →Recommendations are matched to specific skill invocations
How it compares
This skill provides a data-driven approach to identify and prioritize agent failure patterns from historical session data, offering concrete recommendations for skill improvements, unlike relying on intuition.
Compared to similar skills
trace-analysis side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| trace-analysis (this skill) | 0 | 1mo | Review | Beginner |
| model-usage | 5 | 2mo | Review | Beginner |
| analytics-tracking | 7 | 6mo | No flags | Intermediate |
| splunk-analysis | 5 | 5mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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