agentleFS
slogsdonslogsdon/skills-vault-knowledge/skills/map/SKILL.md

map

Skill0 starsChanged 3 months agoMITView on GitHub

Use when asked to audit or map the structure of the knowledge graph, or when /map is invoked. Do NOT use for auditing backlinks on specific notes — use /backlinks for that.

31 other projects use a version of this.

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Projects with it also use ultragoal, cost and 9 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 22 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Don't: use this for targeted backlink audits — that's /backlinks.

    line 10
  2. Distinctive:

    Follow Qwen Protocol with:

    line 15
  3. Distinctive:

    If Qwen is unavailable:

    line 22
  4. Very specific:

    If [argument] is provided, run obsidian search query='[argument]' limit=15 via bash.

    line 24
  5. Very specific:

    Read a sampling of notes by running obsidian read file='[note name]' via bash for each — aim for breadth across different sections of the …

    line 25
  6. Very specific:

    If scoped to [argument], produce a local map of that cluster.

    line 31

“Common” is measured: kept by at least 6 in 10 of the 22 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Skill: /map [argument]

Audit the structural health of the knowledge graph — what's well-connected, orphaned, and missing — to surface where the graph needs attention.

Don't: use this for targeted backlink audits — that's /backlinks. Don't auto-fix — surface findings for Shane to act on.

Steps

  1. Parse the argument/topic from Shane's request.
  2. Follow Qwen Protocol with:
    • task: "Vault access (bash only, no MCP tools): obsidian search query='TERM' limit=10, obsidian read file='Note Name' (no .md), obsidian backlinks file='Note Name'. Audit the structure and health of the knowledge graph around '[argument]' (or the full vault). What's well-connected, what's orphaned, what's missing?"
    • skill: "map"
  3. Review Qwen's result, synthesize if needed, and present to Shane.

Fallback

If Qwen is unavailable:

  1. If [argument] is provided, run obsidian search query='[argument]' limit=15 via bash; otherwise run broad searches across topic clusters via bash (e.g. obsidian search query='MOC' limit=10, obsidian search query='projects' limit=10, obsidian search query='ideas' limit=10)
  2. Read a sampling of notes by running obsidian read file='[note name]' via bash for each — aim for breadth across different sections of the vault
  3. Assess knowledge graph health:
    • Well-connected: notes with rich cross-references and backlinks to other notes
    • Orphaned: notes that exist but aren't referenced from anywhere (no inbound links)
    • Stub clusters: areas with shallow coverage — a topic that should have depth but only has surface notes
    • Missing nodes: concepts that appear as [[links]] in notes but don't have their own notes yet
  4. If scoped to [argument], produce a local map of that cluster; if broad, produce a top-level structural overview
  5. Present findings as: what's healthy, what's orphaned, what's missing, and 2–3 recommended connections to add

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