Analyze Backlog activity stats and project health to detect anomalies and risks.
npx skills add https://github.com/youyo/logvalet --skill logvalet-intelligence
Please help me install this Agent Skill. Skill: logvalet:intelligence Source: https://github.com/youyo/logvalet/tree/main/skills/intelligence Command: npx skills add https://github.com/youyo/logvalet --skill logvalet-intelligence
This skill helps teams understand activity patterns in Backlog by interpreting stats and project health to surface risks and insights.
Ask the AI to generate an activity intelligence report for a chosen project over a defined period using lv activity stats and lv project health.
High-intent search queries and answers about installing and using this skill.
You can detect unusual Backlog activity patterns by generating an intelligence report that combines activity statistics with project health data to identify anomalies, concentration biases, and recommended actions.
Backlog project health analysis interprets combined activity statistics and project health data to identify over- or under-active contributors, detect anomalies, and provide data-driven retrospectives for your team.
Yes, you can analyze Backlog activity at either the project-level or user-level scope across specified timeframes, allowing you to identify individual contributor risks and activity concentration biases.
The best way to surface contributor imbalances is to analyze actor and type distributions from Backlog activity stats alongside project health data, which reveals concentration biases and identifies specific over- or under-active users.
Generating a Backlog activity intelligence report requires no external dependencies, as it relies on parallel data gathering from internal activity stats and project health metrics to produce a structured analysis.
You should apply guardrails when interpreting findings from automated Backlog risk assessment, as anomaly detection relies on combined activity statistics that may require human context to validate rising risks accurately.
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