olw-bootstrap

Generate 15-25 interlinked WikiPage v1 HTML files from domain knowledge.

Updated Mar 28, 2026

Search Tags:#automation #wiki #knowledge-management #cross-linking #semantic-search #domain-modeling #olw

Ready to run

npx skills add https://github.com/sandalsoft/agent-skills --skill olw-bootstrap

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Please help me install this Agent Skill.
Skill: olw-bootstrap
Source: https://github.com/sandalsoft/agent-skills/tree/main/olw-bootstrap
Command: npx skills add https://github.com/sandalsoft/agent-skills --skill olw-bootstrap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automatically constructs a complete Operational Language Wiki from domain knowledge and institutional context, turning messy inputs into a coherent knowledge graph.

Core Features & Use Cases

Automatically generates 15-25 wiki pages per domain following WikiPage v1 structure
Creates wiki:// cross-links and semantic aliases to improve searchability
Validates YAML syntax and enforces page-level structure across all pages
Use case: feed domain docs or a direct description to produce a connected knowledge base ready for PromptQL integration

Quick Start

Run the olw-bootstrap skill with your domain context and an output directory to generate the wiki pages.

Frequently Asked Questions about olw-bootstrap

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

FAQPage Schema

How do I auto-build an interconnected wiki from existing documentation?▼

You can auto-build an interconnected wiki by feeding domain docs or direct descriptions into an automation tool that outputs 15-25 interlinked WikiPage v1 HML files. This process identifies and documents domain knowledge to generate a connected knowledge base.

What is cross-linking in a knowledge management wiki and how does it improve searchability?▼

Cross-linking in a knowledge management wiki creates wiki:// links and semantic aliases between related domain pages. This establishes a coherent knowledge graph that improves searchability and enables structured navigation across interconnected institutional terminology.

Can I generate a structured knowledge base from raw config files and domain descriptions?▼

Yes, you can generate a structured knowledge base by applying domain modeling to config files, documentation, or direct domain descriptions. The system validates YAML syntax and outputs structured WikiPage v1 files with cross-links and institutional terminology.

How do I create a semantic knowledge graph for PromptQL integration?▼

To create a semantic knowledge graph for PromptQL integration, process your domain context to produce interlinked HML files with structured sections and aliases. This converts messy institutional inputs into a connected wiki system ready for querying.

What is the best way to structure domain knowledge into interlinked YAML wiki pages?▼

The best way to structure domain knowledge into interlinked YAML wiki pages is to apply automated domain modeling that enforces page-level structure and validates YAML syntax. This generates 15-25 semantically cross-linked pages per domain.

Are there limitations when generating a wiki from messy institutional context?▼

A limitation when generating a wiki from messy institutional context is that the input domain modeling must accurately identify institutional terminology to ensure proper alias creation. Outputs are constrained to 15-25 WikiPage v1 HML files per domain run.