skills/mrfelton/ideaverse/ideaverse-maintenance

ideaverse-maintenance

SKILL.md

Ideaverse Maintenance Skill

Run audits, diagnostics, and maintenance workflows to keep Ideaverse-based Obsidian vaults healthy. Assume familiarity with the core Ideaverse methodology.

Requirements

  • Python 3.8 or later
  • No external dependencies (uses only Python standard library)

Vault Health Diagnostics

Quick Health Check

Run these in sequence for a complete vault audit. Scripts can be invoked directly (if executable) or via python3:

# 1. Find broken links (critical)
./scripts/find_broken_links.py /path/to/vault
# or: python3 scripts/find_broken_links.py /path/to/vault

# 2. Find orphan notes (structural)
./scripts/find_orphans.py /path/to/vault

# 3. Check frontmatter compliance (consistency)
./scripts/check_frontmatter.py /path/to/vault

# 4. Detect MOC bloat (scale)
./scripts/detect_moc_bloat.py /path/to/vault

# 5. Find squeeze points (opportunities)
./scripts/validate_squeeze_points.py /path/to/vault

# 6. Suggest archival candidates (hygiene)
./scripts/suggest_archival.py /path/to/vault

Note: If python3 is not available on your system, use python if it points to Python 3.x.

Script Descriptions

Script Purpose Output
find_broken_links.py Discover wikilinks pointing to non-existent notes List of source files with broken links
find_orphans.py Identify notes with no incoming links List of orphan note paths
check_frontmatter.py Verify required properties (up, created) Issues grouped by type
detect_moc_bloat.py Find MOCs with 50+ direct links MOCs sorted by link count
validate_squeeze_points.py Find unstructured clusters needing MOCs Terms linked 10+ times without MOC
suggest_archival.py Identify stale notes for archival consideration Notes sorted by staleness indicators

All scripts accept a vault path argument and return structured output. Exit code 0 = healthy, 1 = issues found.

Maintenance Cadences

Daily (5 minutes)

  • Review today's daily log for unprocessed fleeting notes
  • Quick scan for any broken links introduced today

Weekly (15-30 minutes)

  • Run find_broken_links.py and fix any issues
  • Run find_orphans.py - triage: link, archive, or delete
  • Spot-check frontmatter on recently created notes

Monthly (1-2 hours)

  • Full diagnostic suite (all 6 scripts)
  • Review MOC bloat - split any MOCs over 50 links
  • Process squeeze points - create MOCs where warranted
  • Review archival suggestions - archive confirmed stale notes
  • Generate and save vault health report

Quarterly (Half day)

  • Comprehensive vault audit
  • Review and clean Archive folder
  • Assess MOC hierarchy - simplify or restructure as needed
  • Update any vault-level documentation

Deep Dives

Use reference docs for detailed decision trees, workflows, and maintenance playbooks:

Weekly Installs
6
GitHub Stars
5
First Seen
Jan 31, 2026
Installed on
claude-code6
codex4
opencode3
gemini-cli3
antigravity3
github-copilot3