wiki-export
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 Export converts your Obsidian wiki's knowledge graph into JSON, GraphML, Neo4j, and HTML formats for external tools.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-27
Wiki Export converts your Obsidian wiki's knowledge graph into JSON, GraphML, Neo4j, and HTML formats for external tools. 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.
Use it when
- Yes.
- Wiki Export generates Cypher scripts that load your wikilink graph directly into Neo4j.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
Ar9av/obsidian-wiki/wiki-export · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What formats can wiki-export produce from my Obsidian vault?
Wiki Export transforms your Obsidian vault into JSON, GraphML, Cypher scripts for Neo4j, and interactive HTML visualizations. Each format preserves your wikilink graph structure, letting you analyze and visualize your knowledge graph in Gephi, Neo4j, or custom tools without losing connection data.
Can I export my obsidian vault to Gephi using wiki-export?
Yes. Wiki Export generates GraphML files that Gephi natively imports. Your wikilink network transfers completely, including node and edge data, ready for layout analysis, community detection, and interactive visualization within Gephi's interface.
Does wiki-export support exporting wiki links to Neo4j?
Wiki Export generates Cypher scripts that load your wikilink graph directly into Neo4j. The scripts create nodes for each wiki page and edges for every wikilink, preserving your vault's topology for graph queries and relationship analysis.
How do I filter and export my wiki by project or visibility tags?
Wiki Export lets you tag pages with project or visibility metadata, then filter during export. Only matching pages and their wikilinks are included in the output, letting you export subsets of your vault for specific audiences or analysis workflows.
What is an OKF bundle and how does wiki-export create one?
Wiki Export can bundle your vault as a lossless Open Knowledge Format markdown package for vault-to-vault transfer. The OKF bundle preserves all wikilinks, metadata, and structure, making it safe to migrate your knowledge graph between Obsidian instances or share with collaborators.
Can wiki-export generate an interactive browser visualization?
Yes. Wiki Export produces interactive HTML visualizations of your wikilink network that run in any browser. Explore your knowledge graph with zoom, pan, and node interaction—no server needed. Community IDs are assigned automatically for visual clustering.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Wiki Export — Knowledge Graph Export
You are exporting the wiki's wikilink graph to structured formats so it can be used in external tools (Gephi, Neo4j, custom scripts, browser visualization).
Before You Start
- Resolve config — follow the Config Resolution Protocol in
llm-wiki/SKILL.md(inline@nameoverride → walk up CWD for.env→~/.obsidian-wiki/config→ prompt setup). This givesOBSIDIAN_VAULT_PATH - Confirm the vault has pages to export — if fewer than 5 pages
(truncated - see the full file via the links below)
File tree — 1 file
.skills/wiki-export/SKILL.md
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Related skills
wiki-import brings a knowledge graph into your vault from two sources: a graph.json file for page stubs with relationships, or an OKF bundle for complete pages with full bodies. Choose how to handle existing pages—merge, skip, or overwrite—and the skill reconstructs frontmatter, wikilinks, and vault metadata automatically.
okf-wiki creates a conforming Open Knowledge Format project: a tree of markdown concept files with YAML frontmatter, a validator, and Claude session hooks that orient the agent on the knowledge base. Use it to initialize a wiki, atlas, or institutional memory in a repo, structure docs with provenance metadata, or populate from existing material.
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 is a toolkit for building and updating knowledge bundles as directories of markdown files with YAML frontmatter. Create bundles to capture project knowledge like APIs, schemas, and runbooks, maintain them as code and docs evolve, or consume existing bundles to inform your work. The skill enforces the OKF v0.2 spec: every markdown file needs a type field, and everything else follows soft conventions for cross-linking, provenance, and lifecycle tracking.
OKF is knowledge as code: markdown files with YAML frontmatter organized in directories that both humans and agents can read from the same source. Use this skill to author bundles, migrate existing documentation, search and retrieve knowledge, validate structure, or maintain your project's knowledge graph as it evolves.
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.
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