Generate Linkr plugin scaffolds with Python and R templates.
npx skills add https://github.com/BorisDelange/Linkr --skill create-plugin-borisdelange
Please help me install this Agent Skill. Skill: create-plugin Source: https://github.com/BorisDelange/Linkr/tree/main/.claude/skills/create-plugin Command: npx skills add https://github.com/BorisDelange/Linkr --skill create-plugin-borisdelange
This Skill removes the friction of creating a new Linkr plugin by turning your requirements into a ready-to-register plugin scaffold with correct structure and templates.
plugin.json that follows Linkr’s required conventions (id format, runtime/languages, icon, scoped fields, config schema typing, and bilingual labels).{{placeholder}} syntax and the right runtime conventions for plotting and SQL querying, depending on scope.needsConceptPicker for warehouse plugins by accommodating injected SQL variables like timeline and visit summary.Ask it to create a warehouse plugin named “BloodPressureSummary” that computes summary statistics by concept over time, configurable by patient context and chart options, and to use a suitable Lucide icon.
High-intent search queries and answers about installing and using this skill.
To generate a Linkr plugin scaffold, provide your plugin requirements and this tool outputs the correct directory layout, a manifest, and Python/R templates wired for Linkr's placeholder resolver and runtime conventions. It supports warehouse plugins by accommodating injected SQL variables like timeline and visit summary.
The manifest configSchema includes the plugin id format, runtime languages, scoped fields, icon, and bilingual labels. It follows Linkr's required conventions to ensure the generated plugin registers correctly and supports configuration for chart options or patient context.
Yes, you can use R templates and Python templates together for lab dataset dashboards. The scaffold generates both template types, ensuring they use Linkr's {{placeholder}} syntax and runtime conventions for SQL querying and plotting depending on your specified scope.
Yes, the Linkr plugin scaffold supports warehouse plugins by enabling the needsConceptPicker option, which accommodates injected SQL variables like timeline and visit summary for computing summary statistics by concept over time.
The best way to configure a warehouse plugin is to provide the name, computation type like summary statistics by concept, and configuration options. The scaffold produces a plugin.json manifest with appropriate configSchema typing and templates ready for Linkr execution.
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