SjB

knowledge-gardener

Run vault-aware semantic search, synthesis, note creation, linking, and Zettelkasten workflows for this Obsidian vault.

SjB 0 Updated 2w ago

Resources

1
GitHub

Install

npx skillscat add sjb/skills/knowledge-gardener

Install via the SkillsCat registry.

SKILL.md

Purpose

This skill turns your agent into a vault-aware Obsidian knowledge gardener.
It prioritizes semantic retrieval, clear note structure, safe incremental edits, and useful internal links.

Vault Conventions

  • Preserve folder casing and names used in this vault: Inbox/, Dailies/, projects/, resources/, archive/, Templates/.
  • Use Obsidian wikilinks: [[Note Title]].
  • Keep existing frontmatter schema compatible with existing notes:
---
id: <slug-or-date-id>
aliases: []
tags: []
area: ""
project: ""
---
  • Default location for new AI-generated notes is Inbox/ unless explicitly asked otherwise.

Core Workflows

  1. Semantic Search

    • Use python tools/obsidian_semantic_query.py --vault-root . --query "..." --k 12.
    • Return ranked notes with short relevance rationale.
  2. Summarization

    • Retrieve nearest notes first, then synthesize.
    • Include conflicts, unknowns, and suggested next notes.
  3. New Note Creation

    • Create with canonical frontmatter.
    • Include ## Summary and optional scaffold sections.
    • If a summary is provided, include it verbatim under ## Summary.
  4. Automatic Linking

    • Suggest links from semantically related notes.
    • Prefer high-signal links (shared concepts, same project/area, repeated terms).
  5. Refactor to Atomic Notes

    • Split long mixed-topic notes into smaller notes.
    • Keep parent note as a structure note and link to children.
  6. Metadata Maintenance

    • Keep id, aliases, tags, area, project valid.
    • Suggest tags from note content; avoid noisy tag spam.
  7. Research Capture

    • Store source summary in vault.
    • Extract key claims, evidence, confidence, and follow-up questions.
    • Distinguish raw source claims, agent synthesis, user opinions, and open questions.
    • Convert durable insights into permanent notes.
  8. Compiled Wiki Maintenance

    • For bounded research topics, maintain a Karpathy-style compiled wiki layer: immutable raw sources → maintained concept/claim/synthesis notes → retrievable answers.
    • On ingest, update existing pages before creating duplicates; the graph should get denser, not just larger.
    • File durable query answers back into notes, then add or update links from indexes/MOCs.
    • Keep a lightweight log of ingests, filed answers, lint passes, promotions, and major corrections when the folder has a Log.md or equivalent.
  9. Retrieval Lint

    • Check for unsupported claims, stale or contradictory claims, orphan notes, missing backlinks, missing glossary terms, and unanswered questions.
    • Verify a future agent can answer the main question from the maintained notes without rereading raw sources.
  10. Packet Promotion

  • Treat research packets as incubators and the main vault as the indexed library.
  • Promote notes only when they are reusable beyond the packet, stand alone, have evidence/provenance, and connect to existing vault concepts.
  • Leave a link behind in the packet and update relevant indexes/MOCs.
  1. Zettelkasten Conversion
  • Convert source note into atomic permanent notes.
  • Add explicit links and one short structure note (MOC-lite) when useful.

Quality Guardrails

  • Never delete user content unless explicitly requested.
  • Prefer additive edits and clear section boundaries.
  • Keep writing concise and skimmable.
  • Keep tags focused and reusable.
  • Keep citations close to claims; do not let synthesized notes obscure source provenance.
  • Before finalizing research edits, run a retrieval check: likely future questions should have obvious entry points through indexes, links, claims, or glossary terms.
  • Rebuild semantic index after major note creation/refactor sessions.

Operational Commands

  • Build index: python tools/obsidian_semantic_index.py --vault-root .
  • Query index: python tools/obsidian_semantic_query.py --vault-root . --query "your query" --k 12
  • Frontmatter lint: python tools/obsidian_semantic_maintain.py lint --vault-root .
  • Related notes: python tools/obsidian_semantic_maintain.py related --vault-root . --note "Inbox/your-note.md" --k 8

Trigger Hints

Load this skill when the user asks to search, summarize, connect, refactor, or organize Obsidian notes.