PluginBench
Skill
Pass
Audit score 90

cross-linker

ar9av/obsidian-wiki

Automatically discover and insert missing cross-references between Obsidian wiki pages.

What is cross-linker?

Scans your Obsidian vault to find pages that should link to each other but don't, then inserts wikilinks or adds related sections. Use this after ingesting new content or when your wiki feels disconnected to tighten the knowledge graph.

  • Builds a registry of all pages with titles, aliases, tags, and summaries by scanning frontmatter
  • Detects unlinked mentions of page names, titles, and aliases in page content using case-insensitive and diacritic-insensitive matching
  • Scores candidate links by exact matches, shared tags, project proximity, and cross-category connections
  • Applies links inline at natural mention points or adds a Related section for semantic connections
  • Infers and records relationship types (extends, implements, uses, related_to, etc.) in page frontmatter
  • Generates a Cross-Link Report with confidence labels (EXTRACTED, INFERRED, AMBIGUOUS) for review

How to install cross-linker

npx skills add https://github.com/ar9av/obsidian-wiki --skill cross-linker
Prerequisites
  • Obsidian vault with `.md` files and YAML frontmatter (title, aliases, tags, category fields)
  • Config resolution via inline `@name` override, `.env`, `~/.obsidian-wiki/config`, or interactive setup to provide `OBSIDIAN_VAULT_PATH` and `OBSIDIAN_LINK_FORMAT`
  • An `index.md` file listing all pages with one-line descriptions
  • A `log.md` file tracking recent ingestions (optional but recommended)
Claude Code
Cursor
Windsurf
Cline

How to use cross-linker

  1. 1.Resolve your Obsidian vault path and link format using the Config Resolution Protocol (inline override → .env → ~/.obsidian-wiki/config → prompt)
  2. 2.Read `index.md` to understand your page inventory and skim `log.md` to identify recently ingested pages
  3. 3.Run the skill to build a registry by globbing all .md files and extracting frontmatter (title, aliases, tags, category, summary)
  4. 4.Scan each page for unlinked mentions of other pages using case-insensitive and diacritic-insensitive matching
  5. 5.Score candidate links using the composite signal table (exact matches +4, shared tags +2, same project +2, etc.) and assign confidence labels
  6. 6.Apply EXTRACTED (≥6 points) and INFERRED (3–5 points) links inline at natural mention points or in a Related section
  7. 7.Infer relationship types from sentence context and write them to the page's `relationships:` frontmatter block
  8. 8.Review the Cross-Link Report and accept or reject INFERRED links before committing changes

Use cases

Good for
  • After bulk-importing pages into your wiki, run cross-linker to weave new content into the existing knowledge graph
  • Connect orphan or peripheral pages to hub concepts by detecting shared tags and category relationships
  • Discover implicit relationships between entities, projects, and concepts that mention each other but lack explicit links
  • Maintain wiki coherence by identifying pages in the same project directory that should reference each other
  • Build relationship metadata automatically by inferring link types from sentence context
Who it's for
  • Knowledge workers and researchers maintaining Obsidian vaults with hundreds of interconnected notes
  • Wiki maintainers who want to enforce consistent cross-referencing without manual link insertion
  • Teams using Obsidian as a knowledge base who need to ensure new pages integrate into the existing graph
  • Users with markdown-based wikis (not just wikilink format) who want automated linking

cross-linker FAQ

What's the difference between cross-linker and wiki-lint?

wiki-lint reports structural issues and broken links without modifying pages. cross-linker actively discovers missing references and inserts wikilinks or related sections into your pages — it's write-heavy and graph-building.

How does the skill handle ambiguous matches?

Candidates scoring 1–2 points are tagged AMBIGUOUS and skipped by default. Only EXTRACTED (≥6 points, exact matches) and INFERRED (3–5 points, strong contextual signals) links are applied. The report lets you review and override.

Can I use cross-linker with markdown links instead of wikilinks?

Yes. Set `OBSIDIAN_LINK_FORMAT=markdown` in your config. The skill will compute relative `.md` paths from the file being edited to the target page and use `[text](path)` format instead of `[[path|text]]`.

What if a page mentions a term that matches multiple pages?

The skill prefers the shortest unambiguous wikilink path. If a name is unique across the vault, it uses `[[page-name]]`. If ambiguous, it skips the match or tags it AMBIGUOUS for manual review.

Does cross-linker modify my vault directly?

Yes, it writes links inline and appends to Related sections. Always review the Cross-Link Report and keep a backup before running, especially on large vaults.

Full instructions (SKILL.md)

Source of truth, from ar9av/obsidian-wiki.


name: cross-linker description: > Scan the Obsidian wiki and automatically discover missing cross-references between pages. Use this skill when the user says "link my pages", "find missing links", "cross-reference", "connect my wiki", "add wikilinks", "what pages should be linked", or after any large ingestion to ensure new pages are woven into the existing knowledge graph. Also trigger when the user mentions "orphan pages" in the context of wanting to connect them, or says things like "my wiki feels disconnected" or "pages aren't linked well". This is a write-heavy skill — it actually modifies pages to add links, unlike wiki-lint which just reports issues.

Cross-Linker — Automated Wiki Cross-Referencing

You are weaving the wiki's knowledge graph tighter by finding and inserting missing [[wikilinks]] between pages that should reference each other but currently don't.

Follow the Retrieval Primitives table in llm-wiki/SKILL.md. Build the registry in Step 1 by grepping frontmatter only (not full pages). Reserve full Read for the unlinked-mention detection pass, and even there, only read pages whose summaries/titles make them plausible link targets. Blind full-vault reads are what this framework exists to avoid.

Before You Start

  1. Resolve config — follow the Config Resolution Protocol in llm-wiki/SKILL.md (inline @name override → walk up CWD for .env~/.obsidian-wiki/config → prompt setup). This gives OBSIDIAN_VAULT_PATH and OBSIDIAN_LINK_FORMAT (default: wikilink).
  2. Read index.md to get the full inventory of pages and their one-line descriptions
  3. Skim log.md to see what was recently ingested (focus linking effort on new pages)

When inserting links in Step 4, apply the link format from llm-wiki/SKILL.md (Link Format section) using the OBSIDIAN_LINK_FORMAT value. When OBSIDIAN_LINK_FORMAT=markdown, compute the relative .md path from the file being edited to the target page.

Step 1: Build the Page Registry

Glob all .md files in the vault (excluding _archives/, .obsidian/). For each page, extract:

  • Filename (without .md) — this is the wikilink target
  • Title from frontmatter
  • Aliases from frontmatter (if any)
  • Tags from frontmatter
  • Category from frontmatter or directory inference
  • One-line summary — first sentence or title field

Build a lookup table:

page_name → { path, title, aliases, tags, summary }

This is your "vocabulary" — every entry in this table is a valid wikilink target.

Step 2: Scan for Missing Links

For each page in the vault:

  1. Read the full content

  2. Extract existing wikilinks — find all [[...]] references already present

  3. Search for unlinked mentions — check if the page's text contains any of these, without being wrapped in [[...]]:

    • Page filenames (e.g., the word "MyProject" appears but [[projects/my-project/my-project]] is missing)
    • Page titles from frontmatter
    • Aliases from frontmatter
    • Entity names, project names, concept names from the registry
  4. Check for semantic connections — pages that share multiple tags or are in the same project directory but don't link to each other

Matching Rules

  • Case-insensitive matching for names (e.g., "my-project" matches page MyProject)
  • Diacritic-insensitive matching — normalize both the page name and the body text with Unicode NFKD (decompose accented characters to base + combining marks, strip combining marks) before comparing. This ensures body text "Muller" matches page [[entities/müller]] and vice versa.
  • Skip self-references — a page shouldn't link to itself
  • Skip common words — don't link "the", "and", generic terms. Only match on distinctive names
  • Prefer the shortest unambiguous wikilink path — use [[page-name]] not [[full/path/to/page-name]] when the name is unique across the vault
  • Don't link inside code blocks or frontmatter
  • Don't double-link — if [[foo]] already appears on the page, don't add another

Step 3: Score and Rank Suggestions

Not every possible link is worth adding. Score each candidate using a composite signal, then tag it with a confidence label.

Scoring

SignalPointsExample
Exact name match in text+4"MyProject" appears in body text → link to my-project.md
Shared tags (2+)+2Both tagged #ai #agent but no link between them
Same project, no link+2Both under projects/my-project/ but don't reference each other
Mentioned entity/concept+2Page mentions "knowledge graphs" → link to [[concepts/knowledge-graphs]]
Cross-category connection+2Source is in concepts/, target is in entities/ (or skills/synthesis/) — different knowledge layers make this link more architecturally valuable
Peripheral→hub reach+2Source page has ≤ 2 total links (peripheral) but target has ≥ 8 (hub) — connecting a loose page to a load-bearing concept
Partial name match+1"graph" appears but page is knowledge-graphs — plausible but ambiguous

Confidence labels

Tag each candidate with a confidence label based on its score:

ScoreLabelAction
≥ 6EXTRACTEDLink is effectively certain — exact mention or very strong match. Apply inline.
3–5INFERREDLink is a reasonable inference — shared context, cross-category, peripheral→hub. Apply inline or as Related section.
1–2AMBIGUOUSWeak or partial match. Skip unless user specifically asks to connect loose pages.

Only act on EXTRACTED and INFERRED candidates. Include the confidence label in the Cross-Link Report so the user can review INFERRED links before trusting them.

Step 4: Apply Links

For each page with missing links:

4a: Inline linking (preferred)

Find the first natural mention of the term in the body text and wrap it in wikilinks:

Before:

This project uses knowledge graphs to connect entities.

After:

This project uses [[concepts/knowledge-graphs|knowledge graphs]] to connect entities.

Use the [[path|display text]] format when the wikilink path differs from the display text.

4b: Related section (fallback)

If the term isn't mentioned naturally in the body but the pages are semantically related (shared tags, same project), add a ## Related section at the bottom of the page:

## Related

- [[projects/my-project/my-project]] — Also uses AI agents for research automation
- [[concepts/knowledge-graphs]] — Core technique used in this project

If a ## Related section already exists, append to it. Don't duplicate existing entries.

4c: Infer and write relationship type

For every EXTRACTED or INFERRED link added (inline or related section), infer a semantic relationship type from the surrounding sentence context and write it to the page's relationships: frontmatter block. Skip AMBIGUOUS links.

Type inference rules — scan the sentence containing the mention (or, for related-section links, the page title and shared-tag context):

Sentence patternInferred type
"X extends / builds on / generalises Y"extends
"X implements / is an implementation of Y"implements
"X contradicts / opposes / refutes / is at odds with Y"contradicts
"X is derived from / based on / adapted from Y"derived_from
"X uses / relies on / depends on / requires Y"uses
"X replaces / supersedes / deprecates Y"replaces
Shared tags or cross-category inference with no directional cuerelated_to

If the surrounding context is ambiguous or the link came from shared-tag matching (no in-body mention), default to related_to.

Writing the block:

Read the page's YAML frontmatter. If a relationships: block already exists, append new entries without duplicating existing targets. If the block is absent, add it after aliases: (or after tags: when aliases: is missing).

relationships:
  - target: "[[concepts/knowledge-graphs]]"
    type: uses

Always use wikilink format ([[path/to/page]]) for target values in the relationships: YAML block — regardless of OBSIDIAN_LINK_FORMAT. The OBSIDIAN_LINK_FORMAT setting controls body content; frontmatter properties always use wikilink syntax so that wiki-export can reliably parse them.

Only add entries for links added in this cross-linker run — do not touch typed entries that were already present.

Step 5: Score Misc Page Affinity

After the main linking pass, update affinity scores for all pages in misc/ (pages with promotion_status: misc in their frontmatter, or located under the misc/ directory).

For each misc page:

  1. Collect outgoing links — all [[wikilinks]] in the page body
  2. Collect incoming links — grep the vault for [[misc/<slug>]] and [[<slug>]] references
  3. For each linked page (both directions), check if it belongs to a project:
    • Lives under projects/<project-name>/
    • Has a project: frontmatter field matching a project name
  4. Group by project name and sum: outgoing_links + incoming_links
  5. Update the affinity frontmatter block on the misc page:
affinity:
  obsidian-wiki: 3
  another-project: 1
  1. If any project's score ≥ 3: flag this page as a promotion candidate and record it for the report

Efficiency note: only read the full body of misc pages — other pages only need a frontmatter grep to determine their project membership.

Step 6: Report

Present a summary:

## Cross-Link Report

### Links Added: 23 across 12 pages

| Page | Links Added | Confidence | Placement | Relationship Types |
|---|---|---|---|---|
| `projects/my-project/my-project.md` | 3 | EXTRACTED | 2 inline, 1 related | uses ×2, related_to ×1 |
| `entities/jane-doe.md` | 5 | INFERRED | 3 inline, 2 related | extends ×1, uses ×3, related_to ×1 |
| ... | | | | |

### Orphan Pages Remaining: 2
- `references/foo.md` — no incoming or outgoing links found
- `concepts/bar.md` — could not find related pages

### Misc Promotion Candidates: N
Pages in misc/ that have ≥ 3 connections to a single project — ready to be promoted:

| Page | Top Project | Score |
|---|---|---|
| `misc/web-martinfowler-articles-microservices.md` | `obsidian-wiki` | 4 |

To promote: move the page to `projects/<project-name>/references/` and update all backlinks.

### Pages Skipped: 3
- `index.md`, `log.md` — special files
- `_archives/*` — archived content

Step 7: Update Log and Hot Cache

Append to log.md:

- [TIMESTAMP] CROSS_LINK pages_scanned=N links_added=M typed_relations_written=T pages_modified=P orphans_remaining=Q misc_affinity_updated=R promotion_candidates=S

hot.md — Read $OBSIDIAN_VAULT_PATH/hot.md (create from the template in wiki-ingest if missing). Update Recent Activity with a one-line summary of what was linked — e.g. "Cross-linked 23 mentions across 12 pages; 2 orphans remain." Keep the last 3 operations. Update updated timestamp.

Tips

  • Run after every ingest. New pages are almost always poorly connected. This is the fix.
  • Be conservative with inline links. Only link the first natural mention, not every occurrence.
  • Don't touch pages in _archives/. Those are frozen snapshots.
  • Respect existing structure. If a page carefully curates its links in a ## Key Concepts section, add to that section rather than creating a separate ## Related.
  • Entity pages are link magnets. An entity like jane-doe should be linked from almost every project page. Prioritize these.

QMD Refresh After Vault Writes

QMD is a search index, not the source of truth. If $QMD_WIKI_COLLECTION is empty or unset, skip this step. Run it only after this skill has written or rewritten vault markdown. If QMD refresh fails, do not roll back the vault changes; report the QMD status separately.

Use $QMD_CLI if set; otherwise use qmd.

${QMD_CLI:-qmd} update

If the output says vectors are needed or embeddings may be stale, run:

${QMD_CLI:-qmd} embed

Verify the collection with either:

${QMD_CLI:-qmd} ls "$QMD_WIKI_COLLECTION"

or, when a specific page path is known:

${QMD_CLI:-qmd} get "qmd://$QMD_WIKI_COLLECTION/<page>.md" -l 5

Record one of:

  • QMD refreshed: update + embed + verified
  • QMD refreshed: update only + verified
  • QMD skipped: QMD_WIKI_COLLECTION unset
  • QMD skipped: qmd CLI unavailable
  • QMD failed: <short error summary>