Okf
Okf implements Google's Open Knowledge Format specification, letting you author structured knowledge atoms as YAML-frontmatter Markdown files organized into distributable bundles. Use it to build multi-agent context layers, publish portable knowledge that survives tool changes, and formalize LLM-wiki patterns into a vendor-neutral standard any agent can consume without translation.
Okf lets you create and manage portable knowledge bundles using Google's Open Knowledge Format standard with YAML-frontmatter Markdown files.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-28
Okf lets you create and manage portable knowledge bundles using Google's Open Knowledge Format standard with YAML-frontmatter Markdown files. Okf implements Google's Open Knowledge Format specification, letting you author structured knowledge atoms as YAML-frontmatter Markdown files organized into distributable bundles. Use it to build multi-agent context layers, publish portable knowledge that survives tool changes, and formalize LLM-wiki patterns into a vendor-neutral standard any agent can consume without translation.
Use it when
- Okf skill formalizes LLM-wiki patterns into a vendor-neutral standard that any agent can consume without translation.
- Okf lets you author knowledge atoms as YAML-frontmatter Markdown files and organize them into distributable bundles.
Install
akillness/jeo-skills/okf · repository language: TypeScript
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is Okf?
Okf is a skill by akillness that implements Google's Open Knowledge Format specification. Okf lets you author structured knowledge atoms as YAML-frontmatter Markdown files organized into distributable bundles, enabling you to build multi-agent context layers and publish portable knowledge that survives tool changes.
What is okf skill used for?
Okf skill formalizes LLM-wiki patterns into a vendor-neutral standard that any agent can consume without translation. It helps you create structured knowledge atoms, build multi-agent context layers, and maintain knowledge portability across different tools and platforms.
How do I use Okf to organize knowledge?
Okf lets you author knowledge atoms as YAML-frontmatter Markdown files and organize them into distributable bundles. This approach lets you formalize your knowledge structure in a vendor-neutral format that multiple agents can access and consume without requiring translation or conversion.
Can Okf knowledge be used across different agents?
Yes. Okf implements an open, vendor-neutral standard based on Google's Open Knowledge Format, so knowledge bundles created with Okf can be consumed by any compatible agent without translation or tool-specific modifications.
What are the key features of Okf by akillness?
Okf's key features include YAML-frontmatter Markdown authoring for knowledge atoms, bundling capabilities for distribution, multi-agent context layer support, and vendor-neutral portability. These features ensure your knowledge remains accessible and usable even as tools and platforms change.
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Related skills
Llm Wiki helps you create and sustain a markdown-based knowledge repository where an LLM handles ongoing maintenance and synthesis. Ingest raw sources—articles, papers, transcripts, screenshots—into immutable storage, then let the agent populate wiki pages, cross-links, and navigation files. Periodic lint passes keep the vault healthy and coherent.
LLM Wiki lets you build and maintain a self-contained personal knowledge base as plain markdown, organized into immutable source material and compiled articles you own. Sources land in a `raw/` directory, you compile them into `wiki/` articles, and the system keeps everything local—readable on GitHub and openable as an Obsidian vault. Query your knowledge, ingest new sources, lint for health, audit claims against their sources, or critique reasoning, all without external servers or embeddings.
Okf lets you build, organize, and validate Open Knowledge Format (OKF) bundles—plain markdown files with YAML frontmatter stored in a portable directory structure. Initialize new bundles, author concept documents, generate indexes, and render interactive graph viewers. The format is vendor-neutral and lock-in free, consumable by any tool that reads markdown.
LLM Wiki creates and maintains a workspace-local markdown research vault with immutable source preservation, linked concept pages, and automatic indexing. Designed for Obsidian compatibility, it keeps your research organized across multiple modes—init, ingest, query, and refresh—while maintaining a live maintenance log and content map.
Wiki Export transforms your Obsidian vault's wikilink graph into multiple structured formats—JSON, GraphML, Cypher scripts, and interactive HTML—ready for use in Gephi, Neo4j, and custom tools. Optionally filter by project or visibility tags, and assign community IDs for graph analysis and visualization.
wiki-all orchestrates the entire llmwiki workflow in sequence: initializing directories, syncing session data to markdown, constructing knowledge graphs with Graphify AI, compiling HTML output, running 14 quality checks, and launching a local server. Use it when you need to rebuild your wiki from scratch or refresh everything at once.
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