Log agent performance metrics to Engram after completed tasks.
npx skills add https://github.com/Yokhan/yokhanFitnessDocsWebsite --skill agent-metrics
Please help me install this Agent Skill. Skill: agent-metrics Source: https://github.com/Yokhan/yokhanFitnessDocsWebsite/tree/main/.claude/skills/agent-metrics Command: npx skills add https://github.com/Yokhan/yokhanFitnessDocsWebsite --skill agent-metrics
Automatically record post-task performance metrics to Engram, enabling visibility into accuracy, speed, and improvement over time.
After finishing a task, run the metrics logging to Engram to persist the results.
High-intent search queries and answers about installing and using this skill.
To log agent performance metrics, run the metrics logging process after finishing a task to persist results to Engram. It captures accuracy, duration, corrections, and confidence across all task sizes for ongoing improvement tracking.
Yes, aggregating metrics for weekly retrospectives supports trend analysis by logging accuracy, duration, corrections, and confidence data after every completed task. This enables visibility into performance improvement over time.
When Engram is unavailable, task performance data uses a fallback storage mechanism. Metrics are written to tasks/.memory-fallback.md to ensure data persistence until the primary memory system is accessible again.
No, you do not need Engram strictly required to record post-task metrics. The system provides a fallback to tasks/.memory-fallback.md when Engram is unavailable, ensuring continuous data capture.
The specific performance dimensions captured for ongoing improvement include accuracy, duration, corrections, and confidence. These metrics are logged via mem_save with a structured content payload after every task.
Yes, this metrics logging applies across XS through XL tasks without size restrictions. It captures accuracy, duration, corrections, and confidence uniformly to support consistent performance tracking regardless of task scale.
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