Agent skill

Learning Vault

Generate a dedicated Obsidian learning vault for any certification, course, or study goal.

MITAuto-check passedKnowledge Management

Install Learning Vault

skills CLI

$ npx skills add glebis/claude-skills --skill learning-vault -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills learning-vault --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/learning-vault .claude/skills/learning-vault && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "learning-vault" agent skill from https://github.com/glebis/claude-skills/tree/main/learning-vault into .claude/skills/learning-vault/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-vault", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/glebis/claude-skills/tree/main/learning-vault

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add glebis/claude-skills --skill learning-vault -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills learning-vault --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/learning-vault .agents/skills/learning-vault && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "learning-vault" agent skill from https://github.com/glebis/claude-skills/tree/main/learning-vault into .agents/skills/learning-vault/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-vault", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add glebis/claude-skills --skill learning-vault -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills learning-vault --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/learning-vault .cursor/skills/learning-vault && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "learning-vault" agent skill from https://github.com/glebis/claude-skills/tree/main/learning-vault into .cursor/skills/learning-vault/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-vault", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/glebis/claude-skills.git --path learning-vault

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add glebis/claude-skills --skill learning-vault -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills learning-vault --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/learning-vault .gemini/skills/learning-vault && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "learning-vault" agent skill from https://github.com/glebis/claude-skills/tree/main/learning-vault into .gemini/skills/learning-vault/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-vault", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install glebis/claude-skills learning-vault

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add glebis/claude-skills --skill learning-vault -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/learning-vault .github/skills/learning-vault && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "learning-vault" agent skill from https://github.com/glebis/claude-skills/tree/main/learning-vault into .github/skills/learning-vault/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-vault", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add glebis/claude-skills --skill learning-vault -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills learning-vault --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/learning-vault .opencode/skills/learning-vault && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "learning-vault" agent skill from https://github.com/glebis/claude-skills/tree/main/learning-vault into .opencode/skills/learning-vault/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-vault", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: learning-vault
GitHub stars: 388
Token cost: ~1.8k tokens
SKILL.md length: 551 words
Files: 5
Skills in repo: 91
Repo updated: Sep 26, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate a dedicated Obsidian learning vault for any certification, course, or study goal.

Works in 4 steps: Subject & Goal → Structure → Self-Assessment → …
The user wants to create a study vault
SKILL.md covers Trigger Phrases, Interactive Setup, Vault Architecture and Dataview Plugin Setup, plus 7 more sections
Runs JavaScript scripts from its folder

What it does

Learning Vault is an agent skill from glebis/claude-skills. Generate a dedicated Obsidian learning vault for any certification, course, or study goal. Creates structured notes with domains, concepts, lessons, scenarios, MoCs, dataview queries, action items, and multiple navigation paths. Inspired by the genome vault pattern. Use when the user wants to create a study vault, learning vault, certification prep vault, or structured knowledge base for a learning goal.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `dataview-plugin/data.json`, `dataview-plugin/main.js` and `dataview-plugin/manifest.json`).

It sits in Knowledge Management, covering Bioinformatics and Knowledge bases. It works with Obsidian. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

The user wants to create a study vault
Certification prep vault
Structured knowledge base for a learning goal

Example prompts

“/learning-vault”

Requirements

Node.js

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Subject & Goal
Structure
Self-Assessment
Configuration

What it can do on your machine

Read from SKILL.md and the folder at commit 7524dff. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (JavaScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Learning Vault loads about 1.8k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 551 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~106
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 7524dff, republished under its MIT licence (© glebis). 551 words, ~1,797 tokens.

Download SKILL.mdSave it as .claude/skills/learning-vault/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: learning-vault
description: Generate a dedicated Obsidian learning vault for any certification, course, or study goal. Creates structured notes with domains, concepts, lessons, scenarios, MoCs, dataview queries, action items, and multiple navigation paths. Inspired by the genome vault pattern. Use when the user wants to create a study vault, learning vault, certification prep vault, or structured knowledge base for a learning goal.

Learning Vault Generator

Create a fully structured Obsidian vault for any learning goal — certification exams, courses, skill acquisition, or research programs.

Trigger Phrases

"create a learning vault for X"
"build a study vault"
"set up a certification vault"
"learning vault for [topic]"
"/learning-vault"

Interactive Setup

Ask the user these questions (use AskUserQuestion):

1. Subject & Goal

What is the learning goal? (certification, course, skill, research)
What is the subject? (e.g., "AWS Solutions Architect", "Rust programming", "Machine Learning")
Is there a specific exam or assessment? If yes, get: format, passing score, domains/topics, timeline

2. Structure

How many main topics/domains? (auto-detect from curriculum if URL provided)
Are there courses to track? (get URLs, lesson counts)
Are there scenarios/practice areas?

3. Self-Assessment

For each domain/topic, ask: "How confident are you?" (expert/strong/moderate/needs-work/no-experience)
This drives the study priority ordering

4. Configuration

Vault location (default: ~/Brains/{subject-slug}/)
Daily notes? (yes/no)
Dataview plugin assumed? (yes — required for queries)

Vault Architecture

Based on the genome vault pattern at ~/Brains/genome/:

{vault}/
├── Dashboard.md              — central hub with dataview queries
├── MoC - Courses.md          — course progress tracker
├── MoC - Domains.md          — domain/topic overview
├── MoC - Concepts.md         — key concepts by domain
├── MoC - Scenarios.md        — practice scenarios (if applicable)
├── Action Items.md           — dataview task aggregator
├── Question Index.md         — navigate by question type
├── Key Pitfalls.md           — common mistakes to avoid
├── Exam Cheat Sheet.md       — last-minute review card
├── Courses/                  — one note per course
│   └── {Course Name}.md
├── Domains/                  — one note per domain/topic
│   └── {Domain Name}.md
├── Concepts/                 — atomic knowledge units
│   └── {Concept Name}.md
├── Scenarios/                — practice scenarios
│   └── {Scenario Name}.md
├── Lessons/                  — individual lesson notes
│   └── Lesson - {Name}.md
├── Resources/                — links, study plans
│   ├── Official Links.md
│   └── Study Plan.md
├── Templates/                — note templates
│   ├── _Course.md
│   ├── _Lesson.md
│   ├── _Concept.md
│   ├── _Scenario.md
│   └── _Domain.md
└── .obsidian/
    ├── app.json
    ├── community-plugins.json
    └── plugins/
        └── dataview/
            ├── main.js          — copy from reference vault
            ├── manifest.json
            ├── styles.css
            └── data.json        — enable DataviewJS, inline queries, HTML

Dataview Plugin Setup

The vault MUST include a working Dataview plugin — not just config, but the actual plugin binary. During generation:

Copy the bundled plugin from this skill's directory:

bash

SKILL_DIR="$(dirname "$0")"  # or resolve from ~/.claude/skills/learning-vault/
mkdir -p {vault}/.obsidian/plugins/dataview
cp ~/.claude/skills/learning-vault/dataview-plugin/* {vault}/.obsidian/plugins/dataview/

The dataview-plugin/ directory inside this skill contains: main.js, manifest.json, styles.css, data.json — a complete, pre-configured Dataview plugin.

Register in community-plugins.json: ["dataview"]

No manual plugin installation needed — Dataview works on first vault open.

Frontmatter Schema

All Notes

yaml

type: course | domain | concept | scenario | lesson | resource | moc | meta | dashboard
created_date: 'YYYY-MM-DD'
tags: []

Course

yaml

status: not-started | in-progress | completed
priority: 1-5
lessons_total: 0
lessons_done: 0
exam_weight: ""
difficulty: easy | moderate | hard
domains: []  # wikilinks

Concept

yaml

domain: "[[Domain Name]]"
status: not-started | in-progress | completed
confidence: low | medium | high
importance: critical | high | medium | low

Scenario

yaml

number: 1-N
domains: []  # wikilinks
difficulty: easy | moderate | hard

Lesson

yaml

course: "[[Course Name]]"
section: ""
status: not-started | in-progress | completed
concepts: []  # wikilinks

Generation Rules

Every concept note gets a - [ ] #review Can I explain this without notes? task
Every scenario note gets a - [ ] #practice Build a mini-project for this scenario task
Every lesson note gets a - [ ] #review Review this lesson before exam task
Wikilinks everywhere — concepts link to domains, scenarios link to concepts, courses link to both
Question Index maps common questions to concept notes (like genome vault's "search by concern, not gene")
Key Pitfalls lists wrong answers the exam loves to test (attractive distractors)
Study Plan generates phases based on: easy stuff first → gaps second → big course → practice → review

Show full SKILL.md (218 more words)Show less

Dataview Queries Used

The vault uses these Dataview query patterns:

TABLE from folders with filters on status, priority, confidence
TASK aggregation from all notes with tag filters (#review, #practice)
GROUP BY for domain-level summaries
SORT by priority, weight, confidence level
LIST for filtered views (not-started, in-progress, completed)

Self-Assessment → Priority Mapping

Self-Assessment	Confidence	Study Priority
no-experience	low	1 (study first)
needs-work	low	2
moderate	medium	3
strong	medium-high	4 (review only)
expert	high	5 (quick check)

Higher exam weight × lower confidence = higher study priority.

Study Plan Generation

Phases are generated based on:

Quick wins: courses with few lessons + high confidence → build momentum
Gap-filling: domains with low confidence + high exam weight
The big course: the largest course by lesson count
Practice: scenarios, hands-on projects
Final review: cheat sheet, pitfalls, low-confidence concepts

Example Usage

User: "Create a learning vault for the AWS Solutions Architect Associate exam"

→ Ask: domains, courses (e.g., Udemy course URL), timeline, self-assessment → Generate: vault at ~/Brains/aws-saa/ with domains (Compute, Storage, Networking, Security, etc.), concepts per domain, practice scenarios, course tracking, dataview-powered progress dashboard

Reference Implementation

The CCAF vault at ~/Brains/ccaf/ is the canonical example:

88 files, 462 wikilinks
5 domains, 31 concepts, 8 scenarios, 7 courses, 21 lessons
Full dataview integration
Multiple navigation paths: by domain, by concept, by scenario, by question type

Files

SKILL.md and 4 other files in learning-vault of glebis/claude-skills.

SKILL.md
dataview-plugin/data.json
dataview-plugin/main.js
dataview-plugin/manifest.json
dataview-plugin/styles.css

Open the folder on GitHubat commit 7524dff

Compare with similar skills

Learning Vault next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Learning Vault compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Learning Vault this skillglebis/claude-skills	388	—	~1.8k	Automated safety check: Pass	MIT	11 days ago
Obsidian Project Knowledge BaseGalaxy-Dawn/claude-scholar	5.7k	—	~551	Automated safety check: Pass	MIT	14 days ago
LLM Wikilewislulu/llm-wiki-skill	655	—	~3.7k	Automated safety check: Pass	None	5 mo ago
Youtube FetcherJimmySadek/youtube-fetcher-to-markdown	485	—	~1.8k	Automated safety check: Pass	MIT	1 mo ago
LLM Wikipraneybehl/llm-wiki-plugin	117	—	~5.7k	Automated safety check: Pass	MIT	24 days ago
Obsidian Vault Ingest Pipelinejason-effi-lab/karpathy-llm-wiki-vault	715	—	~669	Automated safety check: Pass	None	5 mo ago

Similar skills

Obsidian Project Knowledge Base
Galaxy-Dawn/claude-scholar
Maintains a project-scoped Obsidian research knowledge base: bootstrapping its folders, routing notes, updating hub, plan and index notes, and linting.
5.7k GitHub stars~551 tokensUpdated 14 days ago
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LLM Wiki
lewislulu/llm-wiki-skill
Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers…
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Youtube Fetcher
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Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings.
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jason-effi-lab/karpathy-llm-wiki-vault
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Works with

Obsidian

Questions about Learning Vault

What does Learning Vault do?

Generate a dedicated Obsidian learning vault for any certification, course, or study goal. Learning Vault is an agent skill from glebis/claude-skills. Generate a dedicated Obsidian learning vault for any certification, course, or study goal.

When should I use Learning Vault?

Learning Vault fits situations like: the user wants to create a study vault; certification prep vault; structured knowledge base for a learning goal.

How do I install Learning Vault in Claude Code?

Run `npx skills add glebis/claude-skills --skill learning-vault -a claude-code`. Or copy the skill folder (learning-vault in glebis/claude-skills) into .claude/skills/learning-vault in your project. Claude Code loads it when a task matches its description.

How do I install Learning Vault in Codex?

Run `npx skills add glebis/claude-skills --skill learning-vault -a codex`. Or copy the skill folder (learning-vault in glebis/claude-skills) into .agents/skills/learning-vault in your project. Codex loads it when a task matches its description.

Can I use Learning Vault in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill learning-vault -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-vault, .gemini/skills/learning-vault, .github/skills/learning-vault and .opencode/skills/learning-vault in your project.

What does Learning Vault need to run?

Going by SKILL.md and its folder, Learning Vault needs JavaScript for the scripts in its folder. Our summary lists: Node.js.

Does Learning Vault access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Learning Vault safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Learning Vault use?

Learning Vault is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Learning Vault use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Learning Vault?

Skills that share tags, products or a category with Learning Vault: Obsidian Project Knowledge Base (Galaxy-Dawn/claude-scholar, 5.7k stars), LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Youtube Fetcher (JimmySadek/youtube-fetcher-to-markdown, 485 stars) and LLM Wiki (praneybehl/llm-wiki-plugin, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Learning Vault?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 388 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 26, 2026.

Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Learning Vault

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Learning Vault Generator

Trigger Phrases

Interactive Setup

1. Subject & Goal

2. Structure

3. Self-Assessment

4. Configuration

Vault Architecture

Dataview Plugin Setup

Frontmatter Schema

All Notes

Course

Concept

Scenario

Lesson

Generation Rules

Dataview Queries Used

Self-Assessment → Priority Mapping

Study Plan Generation

Example Usage

Reference Implementation

Files

Compare with similar skills

Similar skills

More from glebis/claude-skills

Related

Questions about Learning Vault