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Cross-Linker (Automated Wiki Cross-Referencing)

Scans an Obsidian vault for pages that should reference each other, inserts the missing [[wikilinks]], and records typed relationships in frontmatter.

Docs & OfficeIntermediate★ 3,702⑂ 371AI score 9/10Last updated: Nov 9, 2026

What it does

  • Greps frontmatter across all vault .md files (titles, aliases, tags, categories) to build a registry of valid link targets.
  • Detects unlinked mentions with case-insensitive and diacritic-insensitive (NFKD) matching, skipping code blocks, self-references and duplicate links.
  • Scores every candidate (exact match, shared tags, cross-category, peripheral→hub reach) and labels it EXTRACTED (≥6) / INFERRED (3–5) / AMBIGUOUS (1–2) — only the first two are applied.
  • Inserts inline links at the first natural mention, or falls back to a ## Related section when no natural mention exists.
  • Infers a semantic relationship type (uses, extends, contradicts, derived_from, related_to...) and writes it into the page's relationships: frontmatter block.
  • Recomputes project affinity scores for misc/ pages and flags promotion candidates.
  • Takes a pre-write Git snapshot commit when the vault is a standalone repo, so an entire run can be reverted.

Who it's for

  • Obsidian users running a second-brain or research vault that keeps accumulating orphan notes.
  • Anyone who just did a bulk ingest (web clips, papers) and wants the knowledge graph re-woven.
  • People who want a typed knowledge graph, not just bare links.
  • Requires the sibling llm-wiki framework and the obsidian-wiki CLI from the same repo.

Examples

  1. "I just ingested 30 articles — cross-link the new pages." → Scans new pages, adds ~23 links across 12 pages, prints a confidence-labeled report.
  2. "Clean up my orphan notes." → Finds pages with no incoming/outgoing links and connects them to hub concept pages (peripheral→hub bonus), then lists remaining orphans.
  3. "Anything in misc/ ready to become a project doc?" → Computes per-project affinity and lists pages scoring 3+ as promotion candidates.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/Ar9av/obsidian-wiki/HEAD/skills/cross-linker/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the skills/cross-linker folder from the GitHub repo Ar9av/obsidian-wiki into my ~/.claude/skills/ar9av-cross-linker/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/Ar9av/obsidian-wiki.git && mkdir -p ~/.claude/skills && cp -r obsidian-wiki/skills/* ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and clone the repo: git clone https://github.com/Ar9av/obsidian-wiki.git
  2. Create the skills folder: mkdir -p ~/.claude/skills
  3. Copy all skills (this one depends on llm-wiki): cp -r obsidian-wiki/skills/* ~/.claude/skills/
  4. Follow the repo README to install the obsidian-wiki CLI and set OBSIDIAN_VAULT_PATH (via a .env file or the global config).
  5. Inside your vault folder, run git init and make one commit so the skill can take its pre-write snapshot and you can roll back easily.
  6. Restart Claude Code, then ask something like "find and add the missing cross-references in my wiki".
  7. Try it on a copy of your vault or a small subfolder first to review the link quality before running it on everything.
View source on GitHub ↗License: MIT