Render templates by aggregating data from JSON, YAML, Vault, Consul, and HTTP sources.
npx skills add https://github.com/rigerc/ha-apps --skill gomplate
Please help me install this Agent Skill. Skill: gomplate Source: https://github.com/rigerc/ha-apps/tree/main/.claude/skills/gomplate Command: npx skills add https://github.com/rigerc/ha-apps --skill gomplate
gomplate enables automated, data-driven rendering of templates by aggregating data from multiple sources (JSON, YAML, Vault, Consul, HTTP, environment variables) without requiring bespoke parsers or glue code.
Create a simple template and render it with a local data file, for example: gomplate -d cfg=./config.json -f template.tmpl -o output.txt Then render a second template referencing data from a Vault secret and environment variable to demonstrate dynamic data integration.
High-intent search queries and answers about installing and using this skill.
Template rendering merges data from JSON, YAML, Vault, Consul, HTTP, and environment variables to generate configuration files. It aggregates datasources without requiring bespoke parsers or glue code, applying lazy or context-based loading.
Data-driven templating generates deployment manifests by combining multiple datasources and templates. You apply context and lazy loading to conditionally render data, extending functionality via external plugins and custom functions.
Yes, you can generate a single application config by merging local JSON or YAML data with Vault credentials and environment variables. This dynamic data integration uses immediate context or lazy-loaded datasources for efficient access.
No, you do not need to write custom parsers or glue code to merge local JSON files with HTTP datasources. The process handles data aggregation natively across supported formats and HTTP endpoints.
Managing complex nested templates and custom functions uses a .gomplate.yaml configuration file. You reuse templates with nested structures and extend functionality by enabling external plugins for advanced rendering.
Use lazy loading via the -d flag for efficient data access and conditional rendering, avoiding unnecessary data fetching. Use the -c flag for immediate context when all datasource data is required upfront during template rendering.
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