What is considered a 'baseline' in the token usage report?

The baseline is the total token count of all documentation in your .agent/ directory. The report compares this to what was actually loaded to show how much context was saved through lazy-loading.

Can I share my Navigator efficiency report?

Yes, the skill generates a formatted ASCII report that is designed to be easily screenshotted and shared on social media or with your team to demonstrate productivity gains.

How do I improve a low efficiency score?

The report provides specific tips, such as using lazy-loading patterns, enabling prompt caching in CLAUDE.md, or using compacting tools if your context window usage exceeds 80%.

How does the Navigator efficiency score work?

The skill calculates a 0-100 score by weighting token savings (40 points), cache efficiency (30 points), and context window usage (30 points) to evaluate how well you are managing project context.

Navigator Session Statistics

Name: Navigator Session Statistics
Author: dkyazzentwatwa

bydkyazzentwatwa

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分析と監視

Generates detailed performance reports and token efficiency metrics to quantify Claude Code session impact.

概要

The Navigator Session Statistics skill provides a comprehensive dashboard for measuring the performance and cost-effectiveness of your Claude Code sessions. By analyzing token savings against a project baseline, cache hit rates, and context window utilization, it calculates a unique efficiency score and offers actionable recommendations to optimize your workflow. This tool is essential for developers who want to validate their context engineering strategies, reduce API costs, and maximize the utility of the Claude context window through data-driven insights.

主な機能

Tailored optimization recommendations for better context management
Real-time token savings calculation against project documentation baselines
Automated efficiency scoring (0-100) based on usage patterns
29 GitHub stars
Detailed cache performance tracking and OpenTelemetry integration
Visual ASCII reports designed for terminal-based sharing and monitoring

ユースケース

Troubleshooting high context usage or low cache performance in long sessions
Quantifying the ROI and token savings of using the Navigator framework
Optimizing documentation loading strategies to maintain high model performance

概要

主な機能

Tailored optimization recommendations for better context management
Real-time token savings calculation against project documentation baselines
Automated efficiency scoring (0-100) based on usage patterns
29 GitHub stars
Detailed cache performance tracking and OpenTelemetry integration
Visual ASCII reports designed for terminal-based sharing and monitoring

ユースケース

Troubleshooting high context usage or low cache performance in long sessions
Quantifying the ROI and token savings of using the Navigator framework
Optimizing documentation loading strategies to maintain high model performance