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Vault Maintenance

Community
louisfb01
vault-maintenance

Weekly maintenance of this Obsidian vault: inventory and diff against the last snapshot, keep hub and index notes current, check wiki links and orphans, report where AGENT-RULES.md is not followed, grade how the skills did in the week's agent sessions and draft skill edits for the owner to approve, and log the run. Run it from any scheduler, or on request.

Overview

Publisherlouisfb01
Repositoryobsidian-agent-vault-template
Skill namevault-maintenance
Stars
56
Forks
13
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by louisfb01 on GitHub. Read the source before you install it.

Installation

Install the Vault Maintenance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/louisfb01/obsidian-agent-vault-template/tree/main/Skills/vault-maintenance
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/louisfb01/obsidian-agent-vault-template.git /tmp/obsidian-agent-vault-template
mkdir -p .claude/skills
cp -r /tmp/obsidian-agent-vault-template/Skills/vault-maintenance .claude/skills/vault-maintenance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vault Maintenance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vault Maintenance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vault Maintenance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vault Maintenance

Keeps the vault navigable as it grows. It is careful and local: it updates links and hub lists, and reports everything else. It never rewrites personal prose, reorganises folders, or deletes anything.

Steps 9, 11 and 12 are optional slots for steps that depend on your machine, such as closing browser tabs a run opened or sending a recap. Leave them out, or fill them in your own vault. When a scheduler runs this skill, it also loads [[Skills/scheduled-runs/SKILL|Scheduled Runs]].

Run sequence

  1. Read AGENT-RULES.md at the vault root, then the open entries in this skill's FEEDBACK.md. The rules bind this run; this skill adds the maintenance steps.
  2. Inventory the vault, excluding .obsidian/, .git/, .DS_Store and generated OS cruft. Count Markdown files and major asset types.
  3. Load or create working-dir/vault-maintenance/state.json and working-dir/vault-maintenance/weekly-log.md. The state file tracks file paths, mtimes, sizes, and a content hash for Markdown files. On the first run, create a baseline but still do a full index health pass.
  4. Compare the current inventory with the prior state and classify:
    • added notes and assets
    • removed notes and assets
    • likely renamed notes and assets, inferred from matching basename, content hash or nearby path
    • recently modified notes, especially new files without inbound links
  5. Read the relevant hub notes before editing and keep their style. Update only the list items or sections that need it. Keep wikilinks valid and readable.
  6. Maintain the hubs named in the AGENT-RULES.md §1 folder map:
    • START-HERE.md: keep its hub links valid. It links hubs only, never single notes.
    • Each area hub (for example Areas/Professional/Professional.md): link sub-hubs and active project folders. Do not dump every generated asset into a hub.
    • The skills index: update only when a skill SKILL.md is added, removed or renamed. Do not rewrite skill instructions.
    • Project front notes and working-dir/**/index.md: update only when files inside that same folder were added, removed or renamed. Skip files marked as generated.
  7. Run a wiki-link health check. Resolve links by vault-relative path, source-relative path, basename and extensionless match. Fix a broken link only when the intended target is clear; otherwise list it in the weekly log.
  8. Find orphan notes outside _archive/, raw/ folders and generated research sources. Link genuinely active orphans from the right hub. Report ambiguous or scratch notes instead of forcing them into a hub.
  9. Note lightweight cleanup opportunities in the weekly log: duplicate or raw/cleaned meeting pairs, stale TODO lists, unreferenced assets, high-value notes with no inbound links, broken links with no obvious target. 8b. Rules health (report only; never rewrite notes to fix these). Check the vault against AGENT-RULES.md and record the results in the weekly log:
    • Skill folders without FEEDBACK.md, skill folders missing from the skills index, and index links to a SKILL.md that does not exist.
    • Promotion candidates: open FEEDBACK.md entries that propose a rule change (the step 8c scan lists them; an entry whose proposed change is "none" is not one). Flag them when two say the same thing or when the owner stated the rule (AGENT-RULES.md §5). Do not edit SKILL.md.
    • Project folders added since the last run that have no front note or are not linked from their hub.
    • Markdown notes added since the last run that have no frontmatter, excluding raw imports, raw/ and wiki/sources/ folders, generated files and private folders. Give the count and up to 20 paths; mark the ones named in this week's agent log as agent-written.
    • Root-level files or folders that are not in the AGENT-RULES.md §1 folder map.
    • Possible secrets: files named .env*, *.pem, *.key, credentials*.json or token*.json, and Markdown lines that look like API keys (sk-, AIza, ghp_, xoxb-). Report the path and line number only; never copy the value.
    • Agent log: whether working-dir/agent-log/ has lines for this week, and which agents wrote them.
    • Scheduled tasks: if your scheduler keeps its prompts in files, check that each active task's prompt is a short pointer to a skill that exists (Templates/Scheduled task prompt.md) and that the task has a row in the AGENT-RULES.md §1 "Scheduled tasks" table. List the ones that fail. 8c. Skill health (report only; never edit a skill). Follow [[Skills/vault-maintenance/references/skill-health-review|Skill health review]], adapted from Warp's skill-doctor:
    • Run scripts/skill_health.py on the last 7 days of local Claude Code and Codex sessions. It writes skill-health.json to working-dir/vault-maintenance/skill-health/YYYY-MM-DD/ and condensed transcripts of the flagged sessions to a folder outside the vault (for example ~/.local/state/vault-skill-health/YYYY-MM-DD/).
    • Read and score each flagged session (efficiency, procedure compliance, verbosity, output quality), add the week's row to skill-health/trend.md, and draft skill edits only for failures that clear the reference's bar, as proposed/<skill>/SKILL.md plus a diff.
    • Write report.md in the same folder. Never copy transcript text, secrets or private content into the vault or a recap.
  10. Optional host housekeeping, for example closing stale browser tabs. Leave this out unless your setup needs it.
  11. Save the updated state after successful edits. The weekly log entry includes the date, counts, changed hub files, added/removed/renamed files, broken links fixed and left, orphans linked and left, rules health findings, the skill health scores and proposals, and 3 to 5 suggested next improvements. Add one line for this run to working-dir/agent-log/YYYY-MM.md.
  12. Optional recap. If your scheduler can notify you (email, chat), send a short summary of the weekly log entry, including the skill health score and the number of skill edits proposed. Never put credentials in the vault.
  13. Close or clean up anything this run opened (browser tabs, temporary files) and record it.

Guardrails

  • Do not delete, move or rename notes or assets.
  • Do not edit private or personal content except to update links or add and remove index references.
  • Keep existing headings and tone.
  • Keep changes small, reviewable and focused on navigation health.
  • Rules health (step 8b) is report-only: never add frontmatter, create FEEDBACK.md files, move folders or edit skills to fix a finding.
  • Skill health (step 8c) is report-only: it drafts edits under working-dir/vault-maintenance/skill-health/, and only the owner, in a session, decides what is applied. Session transcripts stay on the machine, outside the vault.
  • If a change is ambiguous, write it to the weekly log instead of guessing.
  • Local maintenance only: no web search.

Final response format

  • Whether the run completed.
  • Hub and index files updated.
  • Added, removed and renamed files found.
  • Broken links fixed and left unresolved.
  • Rules health findings in one or two lines.
  • Skill health score, its trend, and the number of skill edits proposed, with the report path.
  • Top 3 suggested improvements.
  • Link to working-dir/vault-maintenance/weekly-log.md.

Feedback log

After each run, add an entry to [[Skills/vault-maintenance/FEEDBACK|FEEDBACK]] only when something about the procedure itself went wrong or should change. Routine results go in working-dir/vault-maintenance/weekly-log.md. Rules: [[AGENT-RULES]] §5.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vault Maintenance AI skill do?

Weekly maintenance of this Obsidian vault: inventory and diff against the last snapshot, keep hub and index notes current, check wiki links and orphans, report where AGENT-RULES.md is not followed, grade how the skills did in the week's agent sessions and draft skill edits for the owner to approve, and log the run. Run it from any scheduler, or on request.

Why use Vault Maintenance on TypingMind?

Because you install it once and use it with any model. Vault Maintenance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vault Maintenance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/louisfb01/obsidian-agent-vault-template/tree/main/Skills/vault-maintenance. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vault Maintenance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vault Maintenance?

As many as you like. As long as a model supports skills, you can use Vault Maintenance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vault Maintenance AI skill free?

Yes. It is published on GitHub by louisfb01 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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