Tracks agentic coding KPIs and displays them in a /kpi dashboard.
npx skills add https://github.com/brolag/neural-claude-code --skill kpi
Please help me install this Agent Skill. Skill: kpi Source: https://github.com/brolag/neural-claude-code/tree/main/skills/kpi Command: npx skills add https://github.com/brolag/neural-claude-code --skill kpi
Track agentic coding KPIs to reveal planning velocity, review velocity, autonomy duration, and loop state.
Invoke the /kpi command to start logging and view KPI dashboards.
High-intent search queries and answers about installing and using this skill.
You can track agentic coding KPIs by invoking the /kpi command to log plan, review, autonomy, and loop state events. The skill uses memory persistence to maintain data and dashboards, allowing you to monitor feature delivery pipelines and review velocity trends.
Loop state in autonomous coding workflows represents the current operational cycle of agentic development. The KPI skill tracks loop state events alongside planning and autonomy metrics, helping teams identify bottlenecks and optimize development workflows through trend analysis.
To monitor development workflows and identify bottlenecks, the KPI skill logs plan, review, and autonomy events then generates dashboards and weekly summaries. Quick comparison across time reveals collaboration gaps and pipeline delays in feature delivery.
Yes, the KPI skill supports quick comparison across time to identify bottlenecks and collaboration gaps. It stores plan, review, autonomy, and loop-state events with memory persistence, enabling trend analysis and weekly summaries for continuous improvement.
No external dependencies are required. The KPI skill implements its own data model for plan, review, autonomy, and loop-state events with built-in memory persistence, accessible entirely through the /kpi command interface.
The best way to log autonomy duration is using the /kpi command interface, which records autonomy events alongside planning and review metrics. Memory persistence ensures data retention for trend analysis and weekly summaries to drive continuous improvement.
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