Summarize skill usage logs into JSON and HTML reports.
npx skills add https://github.com/rm2thaddeus/Aitor_Skills --skill skills-summarizer
Please help me install this Agent Skill. Skill: skills-summarizer Source: https://github.com/rm2thaddeus/Aitor_Skills/tree/main/skills-summarizer Command: npx skills add https://github.com/rm2thaddeus/Aitor_Skills --skill skills-summarizer
This Skill automates the process of summarizing skill usage logs, generating upkeep reports, and proposing conservative improvements to skills, reducing manual analysis time and effort.
.jsonl) into human-readable JSON and HTML reports.Run the skills summarizer script to generate upkeep reports for the last 7 days.
High-intent search queries and answers about installing and using this skill.
To summarize skill usage logs, run the provided Python scripts to parse raw .jsonl telemetry files and output human-readable JSON and HTML reports. This process identifies usage patterns and total invocations across projects.
Agent telemetry analysis monitors skill performance by parsing usage logs to identify top projects, total invocations, and unused skills. It generates upkeep reports to help maintain and propose conservative improvements to your skill catalog.
Yes, you can use Python scripts to parse .jsonl log files and catalog skill metadata. The scripts process telemetry data to identify usage patterns and propose low-risk, high-impact skill enhancements.
The best way to identify unused skills is to generate an upkeep report from your agent telemetry logs. The report highlights skills with zero invocations over a specified period, making them clear candidates for deprecation.
Yes, you need Python to run the scripts that parse raw skill usage logs and generate both JSON and HTML upkeep reports. The scripts require no external dependencies to process your telemetry data.
The log analysis proposes only conservative, low-risk skill improvements based on usage data. It does not execute changes automatically but rather suggests enhancements by identifying usage patterns and cataloging skill metadata from telemetry logs.
infantesromeroadrianAggregate skill usage telemetry from JSONL logs and flag low success rates.
snhrmIdentify breaking changes and deprecations from library release notes.
rafaelcallejaStream Claude Code agent events to a filesystem-based observability dashboard.
BertCalmParse JSONL session logs to compute per-skill health metrics and identify refinement patterns.