vault-world
Skill0 starsChanged 7 months agoMITView on GitHub
Load vault context progressively -- identity, navigation, current state. Use at session start or when context about the vault is needed. Token-budgeted: start light, go deeper only as needed.
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llm-wikiSkill
- vault-challengeSkill
- vault-connectSkill
- vault-emergeSkill
- vault-graduateSkill
- vault-ingestSkill
- vault-saveSkill
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 7 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Read index.md -- catalog of all pages (cheaper than searching)
- Very specific: line 19
Read log.md (last 10 entries only) -- what happened recently
- Very specific: line 22
Read dashboard/home page (if listed in _CLAUDE.md)
- Distinctive: line 23
Read today's daily note if it exists
- Distinctive: line 24
Read last 3 daily notes for recent momentum
- Distinctive: line 28
Only load if needed for a specific question or task
- Distinctive: line 29
Read active project notes
- Distinctive: line 30
Read relevant research articles
- Distinctive: line 31
Read technical/engineering notes
- Very specific: line 39
Keep output concise -- this is a boot-up sequence, not a report.
- Very specific: line 40
All output (status summary, priority list, labels) in the user's language from _CLAUDE.md Language section.
- Distinctive: line 46
Before making vault writes (to avoid duplicates)
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/vault-world
Progressive context loader for your Obsidian vault.
Steps
- Read
_CLAUDE.mdat vault root -- operating rules and folder map. - L0 -- Navigation (~1-2K tokens)
- Read
index.md-- catalog of all pages (cheaper than searching) - Read
log.md(last 10 entries only) -- what happened recently
- Read
- L1 -- Current State (~2-5K tokens)
- Read dashboard/home page (if listed in
_CLAUDE.md) - Read today's daily note if it exists
- Read last 3 daily notes for recent momentum
- Scan task board for in-progress and overdue items
- Read dashboard/home page (if listed in
- L2 -- Deep Context (on demand, ~5-20K tokens)
- Only load if needed for a specific question or task
- Read active project notes
- Read relevant research articles
- Read technical/engineering notes
- Present brief status after L0-L1 (do NOT load L2 unless needed):
- Current priorities: top 3-5 active threads
- Open threads from last session: anything unfinished
- Overdue / needs attention: stale tasks or projects
- Today so far: what's already logged
Keep output concise -- this is a boot-up sequence, not a report.
All output (status summary, priority list, labels) in the user's language from _CLAUDE.md Language section.
When to Use
- Session start
- User asks about vault state or what's been happening
- Before making vault writes (to avoid duplicates)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

