Orchestrate the Unearth discovery pipeline across repositories and monorepos.
npx skills add https://github.com/vishalkhondre/unearth --skill using-unearth
Please help me install this Agent Skill. Skill: using-unearth Source: https://github.com/vishalkhondre/unearth/tree/main/skills/using-unearth Command: npx skills add https://github.com/vishalkhondre/unearth --skill using-unearth
The meta-skill coordinates and governs the Unearth discovery pipeline, ensuring consistent, reproducible execution across all 14 discovery skills and stages, including scope selection, adapter loading, blueprint choice, and orderly progression from reconnaissance to documentation.
Run this skill first to learn how to configure scope, select adapters and blueprints, and orchestrate the full discovery pipeline.
High-intent search queries and answers about installing and using this skill.
To automate codebase analysis across multiple repositories, you need an orchestration pipeline that coordinates scope selection, adapter loading, and orderly progression from reconnaissance to documentation. This ensures consistent, reproducible execution across multi-repo collections and monorepos.
A discovery pipeline for codebase analysis is a coordinated sequence of skills that progresses from reconnaissance to documentation. It manages scope, stack adapters, and blueprints to produce structured outputs and reproducible knowledge artifacts for software architecture.
Yes, you can resume a partial workflow run if your codebase analysis is interrupted. The orchestration pipeline handles output file management and supports resuming partial runs to accelerate knowledge discovery in large codebases without restarting.
To orchestrate the full discovery pipeline for a monorepo, run the meta-skill first to configure scope, select stack adapters, and choose blueprints. It coordinates all 14 discovery skills in the correct order to build a complete architecture document.
Yes, the Unearth orchestration pipeline works with multi-repo collections. It manages scope, stack adapters, and blueprints to enable seamless multi-project analyses, ensuring consistent execution across all 14 discovery skills and stages.
The best way to ensure reproducible knowledge artifacts during codebase discovery is to use a governing orchestration pipeline. It enforces execution ordering, output management, and consistent scope selection across all discovery stages.
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