plugin-self-improve

To audit an Elastic Cursor plugin for coverage gaps, inventory the current state across MCP tools, skills, rules, agents, commands, and documentation, then map that coverage against Elastic product areas to identify missing functionality.

The best way to plan improvements for a Cursor MCP plugin release is to systematically analyze current components against product areas, enumerate gaps, and propose prioritized implementation steps covering new tools, skills, rules, agents, commands, and documentation.

Yes, you can identify missing rules and agents by mapping your plugin's current component inventory against Elastic product areas, which highlights coverage gaps and opportunities for concrete quality improvements across all plugin components.

Plugin quality improvement for Elastic MCP tools works by systematically analyzing existing tools, skills, rules, agents, commands, and documentation to enumerate gaps, propose prioritized improvements, and outline concrete implementation steps for the next release.

You do not need a pre-existing inventory to start a plugin quality audit, as the process begins by inventorying the current state across all components including tools, skills, rules, agents, commands, and documentation to establish a baseline.

A limitation when mapping plugin coverage against Elastic product areas is that the analysis relies entirely on the accuracy of the current component inventory, meaning undocumented tools or unlisted commands may cause gaps to be missed during the quality audit.