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init

Bootstrap an ΩmegaWiki instance from raw sources with YAML frontmatter and checkpoints.

Updated Jun 16, 2026
Search Tags:#planning#discovery#wiki#init#ingest#papers
One-click install
npx skills add https://github.com/KITTran/pinn-ndt-sim --skill init-kittran
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: init
Source: https://github.com/KITTran/pinn-ndt-sim/tree/main/i18n/en/skills/init
Command: npx skills add https://github.com/KITTran/pinn-ndt-sim --skill init-kittran

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Bootstraps ΩmegaWiki workflow from user inputs, enabling structured wiki scaffolding, discovery planning, and parallel paper ingestion to accelerate knowledge building.

Core Features & Use Cases

  • Deterministic source preparation from raw/papers, raw/notes, and raw/web
  • Planner-guided discovery, provisional topics, and scaffolding for wiki/graph
  • Parallel /ingest fan-out/fan-in with worktree isolation to ingest final paper pages
  • Outputs include wiki/index.md, wiki/graph/, and .checkpoints/ manifests for resume and replay

Quick Start

Initialize the workflow to bootstrap a wiki from your local raw sources, run discovery, and ingest papers in parallel.

Frequently Asked Questions about init

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bootstrap a wiki from local research papers and notes?▼

Yes, you can organize local source files under raw/papers, raw/notes, and raw/web directories. The skill requires YAML frontmatter in these sources, enforces the format during deterministic preparation, and uses the metadata for downstream wiki scaffolding and graph generation.

How does parallel paper ingestion work during wiki initialization?▼

Parallel paper ingestion uses a fan-out/fan-in mechanism with worktree isolation to process multiple sources simultaneously. This generates final paper pages, wiki/index.md, and graph structures while emitting checkpoint manifests for resume and replay.

What is the best way to plan discovery and scaffold topics for a knowledge wiki?▼

Discovery planning generates provisional topics and wiki/graph scaffolds from prepared local sources. The skill creates checkpoint manifests like .checkpoints/init-plan.json, enabling you to resume or replay the discovery and ingestion workflow.

Can I skip external discovery when bootstrapping a wiki from local sources?▼

Yes, external discovery is optional and can be disabled. The skill will still perform deterministic source preparation from user-owned local files under raw/papers, raw/notes, and raw/web, producing provisional scaffolds and checkpoint manifests.

Why does wiki initialization require YAML frontmatter in source papers?▼

YAML frontmatter is required to enforce deterministic source preparation. This structured metadata ensures your local files are correctly parsed, planned for discovery, and successfully ingested into the wiki scaffold during parallel processing.

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