Obsidian Link Graph

SkillDocs & knowledge

Use this skill when the user wants to repair or strengthen Obsidian wikilinks among existing canonical project notes, especially across papers, knowledge notes, experiments, results, and writing.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Obsidian Link Graph skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/33-Galaxy-Dawn-claude-scholar/skills/obsidian-link-graph/SKILL.md and read by ahel’s review.

This is a legacy compatibility helper.

Despite the name, the current default workflow is not graph-heavy. Use this skill to repair navigation among existing canonical notes, not to generate graph artifacts by default.

Responsibilities

strengthen wikilinks among 00-Hub.md, 01-Plan.md, Knowledge/, Papers/, Experiments/, Results/, Writing/, and Daily/
improve backlinks where a durable relationship is already clear
help route a new reference to the best existing canonical note
reduce disconnected durable notes without creating concept or dataset sprawl

Link heuristics

Prefer one canonical note per durable object.
Link through stable project objects, not ad-hoc phrases.
Avoid overlinking every paragraph; keep only meaningful edges.
Prefer repairing existing links over creating new auxiliary notes.
If the best target is unclear, narrow the search first and use find-canonical-note from obsidian-project-memory when helpful.

Do not assume by default

Concepts/
Datasets/
Maps/
Views/
.canvas
.base

Create those only if the user explicitly asks for them.

Signals

GitHub stars: 4k
Forks: 531
Last commit: Sep 2026

Advanced

Item type: skill
Key: obsidian-link-graph
Source: github.com/brycewang-stanford/auto-empirical-research-skills

github.com/brycewang-stanford/auto-empirical-research-skills