Does this skill work with subagents?

Yes, it includes specific detection for 'Task' tool usage patterns, allowing you to analyze subagent spawning frequency and success rates.

What data does this skill analyze?

It primarily analyzes telemetry data from the 'claude_code_enhanced' job stored in Loki, including tool calls, results, and session metadata.

Can it help with context window issues?

Yes, it monitors context compaction events and high utilization sessions to provide optimization suggestions for managing the context window.

How does it detect workflow inefficiencies?

The skill identifies 'waste' patterns such as multiple reads of the same file, repeated failed operations, and excessive globbing before a read command.

Observability Pattern Detector

Name: Observability Pattern Detector
Author: adaptationio

byadaptationio

0•

分析与监控

Analyzes Claude Code telemetry to identify performance bottlenecks, failure patterns, and workflow inefficiencies.

The Observability Pattern Detector is a specialized tool for Claude Code that automates the recognition of patterns and anomalies within telemetry data. By querying Loki logs, it identifies recurring tool failures, detects slow response sequences, and flags session anomalies like high turn counts or frequent context compactions. This skill is essential for developers looking to optimize their AI workflows, debug complex tool interactions, and reduce operational waste by identifying redundant steps like repeated file reads or inefficient editing patterns. It provides actionable insights through structured reports, helping users refine their prompts and tool usage for maximum efficiency.

主要功能

010 GitHub stars

02Long-term trend analysis for tool usage and error rates

03Context management monitoring and optimization suggestions

04Inefficiency tracking to identify redundant tool calls

05Automated failure grouping and impact ranking

06Statistical anomaly detection for sessions and response times

使用场景

01Optimizing Claude's token usage by identifying frequent context compactions

02Debugging persistent tool errors across different projects

03Improving agentic performance by analyzing subagent spawning and success rates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz observability-pattern-detector

For use in Claude.ai and ChatGPT

Download Skill