Analyze Dojo node.json files and generate enrichment suggestions for missing knowledge fields.
npx skills add https://github.com/theslashdojo/dojo --skill enrich-theslashdojo
Please help me install this Agent Skill. Skill: enrich Source: https://github.com/theslashdojo/dojo/tree/main/nodes/dojo/authoring/enrich Command: npx skills add https://github.com/theslashdojo/dojo --skill enrich-theslashdojo
Thin or scaffolded Dojo nodes lack the aliases, triggers, body content, sections, links, and related edges that make them discoverable, teachable, and actionable for agents. Enrichment bridges the gap between a minimal node.json and a rich knowledge node so agents can route tasks, learn context, and execute related skills without manual upstream reading.
Run an analyze pass on a node to get a detailed gap report and enrichment suggestions for nodes/kubernetes/pods/node.json.
High-intent search queries and answers about installing and using this skill.
Validate missing fields in a node.json file by running a deterministic gap analysis that detects missing aliases, triggers, body content, sections, links, and related edges, then outputs warnings and a knowledge quality score.
Knowledge enrichment for agent-ready nodes bridges minimal scaffolded data and rich documentation by auto-generating suggestions for missing aliases, triggers, and body content so agents can route tasks without manual upstream reading.
Generate aliases and triggers automatically by running an enrich-mode pass that analyzes existing node.json content and outputs proposed field fills without mutating the original files, streamlining content authoring workflows.
The enrichment analysis script requires a Node.js environment compatible with Node version 18 or higher to execute deterministic gap analysis and suggestion generation for your Dojo knowledge nodes.
You can analyze external documentation without modifying original files because the enrichment script runs an analysis pass that outputs identified gaps, warnings, and proposed fills in a non-mutating mode for quality review.
The best way to convert thin scaffolds into teachable knowledge nodes is performing a gap analysis to identify missing fields, then applying auto-generated suggestions for content and edges to achieve a high validation knowledge score.
theslashdojoGenerate Dojo node directory skeletons with valid node.json files.
theslashdojoScaffold Dojo nodes with manifests, scripts, and validation.
theslashdojoValidate Dojo node aliases, triggers, body depth, sections, links, and actionability, outputting JSON warnings and stats.
ben-mad-jlpIdentify incomplete Kodex topics and generate structured update drafts.
