vault-graduate
Skill0 starsChanged 7 months agoMITView on GitHub
Promote scattered vault mentions into dedicated notes. When an idea, pattern, or concept reaches critical mass (3+ mentions across contexts), it deserves its own page. Graduate it from scattered references to first-class citizen.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Tmeister/skillstheir own version, first seen Oct 13, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Tmeister/skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llm-wikiSkill
- vault-challengeSkill
- vault-connectSkill
- vault-emergeSkill
- vault-ingestSkill
- vault-saveSkill
- vault-worldSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Emerge agent: Check last vault-emerge results for patterns not yet formalized.
≈ “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-graduate [concept]
Promote a recurring concept from scattered mentions to a dedicated vault page.
Modes
- Concept given: Graduate that specific concept.
- No concept given: Scan vault for concepts that SHOULD be graduated but aren't. Present candidates.
Steps -- Scan Mode (no concept given)
- Read
_CLAUDE.mdandindex.md. - Scan for candidates -- spawn 3 parallel agents:
- Frequency agent: Grep vault for terms appearing in 3+ different notes across 2+ folders.
- Orphan agent: Find concepts in
[[wiki links]]that don't have their own page yet. - Emerge agent: Check last vault-emerge results for patterns not yet formalized.
Present candidates ranked by readiness:
| Concept | Mentions | Folders | Has Page? | Readiness | |---------|----------|---------|-----------|-----------| | [name] | 5 | 3 | No | Ready |- Ask user which to graduate.
Steps -- Graduate Mode (concept given)
- Read
_CLAUDE.mdandindex.md. - Collect all mentions -- search entire vault for the concept.
- Synthesize into a dedicated note:
- Choose location based on
_CLAUDE.mdfolder map - Frontmatter: date, tags,
status: active,graduated_from: [source notes] - Structure:
# [Concept Name] > [One-line definition] ## Origin First appeared: [[source note]] on YYYY-MM-DD ## What It Means [Synthesized understanding from all mentions] ## Where It Shows Up - [[note 1]] -- [how it manifests] - [[note 2]] -- [how it manifests] ## Connections - Related to [[X]] because [reason] ## Open Questions - [Things not yet resolved]
- Choose location based on
- Update all source notes -- ensure
[[Concept Name]]wiki link exists in each. - Update index.md and daily note.
- Append to log.md:
## [YYYY-MM-DD] graduate | [concept] -- promoted from [N] mentions
Rules
- All output in the user's language (from
_CLAUDE.mdLanguage section). Concept page title, headings ("## 起源", "## 含义", "## 出现位置", "## 开放问题"), and body all in user's language. When a concept has terms in multiple languages, use primary language for title and note alternates. Search covers all languages in the vault. - 3+ mentions minimum to graduate
- Cross-folder mentions are stronger signal
- Preserve origin story -- where the concept first appeared
- Link bidirectionally -- new page links to sources, sources link back
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.

