Obsidian CLI
Atmosphere/atmosphere
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more.
Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set.
Install Temple Generator
$ npx skills add glebis/claude-skills --skill temple-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install glebis/claude-skills temple-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/temple-generator .claude/skills/temple-generator && rm -rf skills-srcUse ~/.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/
Install the "temple-generator" agent skill from https://github.com/glebis/claude-skills/tree/main/temple-generator into .claude/skills/temple-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "temple-generator", 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 install https://github.com/glebis/claude-skills/tree/main/temple-generatorType 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.
$ npx skills add glebis/claude-skills --skill temple-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install glebis/claude-skills temple-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/temple-generator .agents/skills/temple-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "temple-generator" agent skill from https://github.com/glebis/claude-skills/tree/main/temple-generator into .agents/skills/temple-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "temple-generator", 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.
$ npx skills add glebis/claude-skills --skill temple-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install glebis/claude-skills temple-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/temple-generator .cursor/skills/temple-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "temple-generator" agent skill from https://github.com/glebis/claude-skills/tree/main/temple-generator into .cursor/skills/temple-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "temple-generator", 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 https://github.com/glebis/claude-skills.git --path temple-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add glebis/claude-skills --skill temple-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install glebis/claude-skills temple-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/temple-generator .gemini/skills/temple-generator && rm -rf skills-srcUse ~/.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/
Install the "temple-generator" agent skill from https://github.com/glebis/claude-skills/tree/main/temple-generator into .gemini/skills/temple-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "temple-generator", 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.
$ gh skill install glebis/claude-skills temple-generatorInstalls 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).
$ npx skills add glebis/claude-skills --skill temple-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/temple-generator .github/skills/temple-generator && rm -rf skills-srcUse ~/.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/
Install the "temple-generator" agent skill from https://github.com/glebis/claude-skills/tree/main/temple-generator into .github/skills/temple-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "temple-generator", 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.
$ npx skills add glebis/claude-skills --skill temple-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install glebis/claude-skills temple-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/temple-generator .opencode/skills/temple-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "temple-generator" agent skill from https://github.com/glebis/claude-skills/tree/main/temple-generator into .opencode/skills/temple-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "temple-generator", 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
temple-generator- GitHub stars
- 389
- Token cost
- ~1.5k tokens
- SKILL.md length
- 679 words
- Files
- 8 (incl. scripts, references, assets)
- Skills in repo
- 91
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set.
- Works in 7 steps: Scan the Vault → Read the Scan + Sample Notes → Classify Entities → …
- Knowledge Management work in your project
- SKILL.md covers When to Use, Architecture, Workflow and Dual-Graph Mode, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Temple Generator is an agent skill from glebis/claude-skills. Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set. Supports multi-scale abstraction layers and dual-graph common maps between two vaults.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts, reference files and assets (for example `.claude-plugin/plugin.json`, `references/classification-guide.md` and `references/entity-schema.md`).
It sits in Knowledge Management. 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
- Knowledge Management work in your project
Example prompts
- “/temple-generator”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Temple Generator loads about 1.5k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 679 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from glebis/claude-skills at commit 7524dff, republished under its MIT licence (© glebis). 679 words, ~1,466 tokens.
Download SKILL.mdSave it as
.claude/skills/temple-generator/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- temple-generator
- description
- Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set. Supports multi-scale abstraction layers and dual-graph common maps between two vaults.
- trigger
- /temple-generate
- args
- vault_path [--compare vault_path_2] [--output path] [--inline]
- user_invocable
- true
Temple Generator
Generate a 3D interactive knowledge visualization from any Obsidian vault. The output is a single HTML file (Three.js) with concentric entity rings, audio, discovery mechanics, and multi-scale semantic zoom.
When to Use
- User wants to visualize any Obsidian vault as a 3D knowledge map
- User wants to compare two vaults/document sets visually
- User wants to regenerate the temple from scratch with fresh vault analysis
Architecture
Two-part system:
- Generation pipeline (this skill): discovers structure, names it, scores confidence, exports a scene package
- Runtime renderer (template): handles navigation, transitions, audio, discovery
Pre-generate meaning. Runtime-render experience.
Workflow
Step 1: Scan the Vault
Run python3 ~/.claude/skills/temple-generator/scripts/extract_entities.py <vault_path>.
This produces vault-scan.json with:
- Files: path, title, tags, outgoing links, backlink counts, word count, folder, frontmatter
- Graph: adjacency list with bidirectional link counts
- Centrality: degree centrality per node
- Clusters: detected groups of tightly linked notes
Step 2: Read the Scan + Sample Notes
- Read
vault-scan.json - Read the top ~20 nodes by centrality (first 100 lines each)
- Read
references/classification-guide.mdfor entity type heuristics - Read 3-5 representative notes to calibrate the vault's "voice" (formal/informal, domain jargon, language)
Step 3: Classify Entities
Using references/classification-guide.md, assign each significant node to an entity type. Maintain two vocabularies:
- canonical: neutral labels for portability (
anxiety-management,fermentation-process) - poetic: mythic/art labels for the installation (
The Ferment Gate,The Cortisol Throne)
Target counts per type (adjust for vault size):
| Type | Small vault (< 100) | Medium (100-500) | Large (500+) |
|---|---|---|---|
| Gods | 2-3 | 3-5 | 5-7 |
| Demigods | 3-7 | 5-12 | 8-15 |
| Tensions | 2-4 | 3-7 | 5-9 |
| Narratives | 2-5 | 5-10 | 8-12 |
| Blind spots | 1-3 | 3-5 | 4-7 |
| Spirits | 1-3 | 3-5 | 3-5 |
| Research | 5-15 | 10-25 | 15-30 |
| Values | 2-5 | 3-8 | 5-10 |
| Trails | 2-5 | 3-8 | 5-10 |
| Questions | 3-6 | 5-10 | 8-12 |
| Depths | 2-5 | 5-10 | 8-15 |
| Crystals | 1-3 | 2-5 | 3-6 |
Step 4: Build Abstraction Levels
Levels are confidence-gated — only include a level if the vault supports it.
Level 0 — Entities (always exists): individual nodes with positions, connections, descriptions.
Level 1 — Domains (requires >= 3 meaningful clusters): groups of related entities. Each domain has:
canonical+poeticname- member entity keys
- centroid position (weighted average of member positions)
- representative exemplar (most central member)
- description (1-2 sentences in vault voice)
- confidence score (0-1)
Level 2 — Axes (requires >= 2 interpretable opposing pairs): fundamental tensions. Each axis has:
- two poles with names and descriptions
- member domains per pole
- axis description
- confidence score
Level 3 — Comparison (requires two vaults + sufficient alignment): shared/unique analysis.
Read references/merge-algorithm.md for dual-graph logic.
Show full SKILL.md (282 more words)Show less
Step 5: Generate Scene Package
Follow the schema in references/entity-schema.md to produce temple-data.json.
Include:
entities: all classified nodeslevels: abstraction layers with zoom thresholdsmappings: entity → domain → axis crosswalkscomparison: (if dual-graph) shared/unique/alignment dataaudio: motif hints per type and levelstyle: poetic vocabulary, intro text, color palette, layer definitionsconfidence: per-abstraction and per-alignment scores
Step 6: Generate HTML
- Copy
~/.claude/skills/temple-generator/assets/temple-template.htmlto the output location - If
--inlineflag: embed the JSON data asconst TEMPLE_DATA = {...};inside the HTML - Otherwise: place
temple-data.jsonalongside the HTML
Step 7: Report
Show the user:
- Entity counts by type
- Abstraction levels generated (with confidence scores)
- Top 5 gods/central entities
- Detected tensions
- If dual-graph: overlap percentage and shared domains
Dual-Graph Mode
When --compare vault_path_2 is provided:
- Scan both vaults independently (Step 1)
- Classify entities for each vault (Steps 2-3)
- Run merge algorithm from
references/merge-algorithm.md - Generate merged scene package with source attribution
- Template renders shared scaffold with divergence offsets
Quality Guidelines
- Skip trivial notes (daily todos, admin logs, empty stubs)
- Prefer nodes that reveal the vault's actual concerns, not its filing system
- Write in the vault's own voice, calibrated from sample notes
- If a level lacks confidence, omit it rather than fabricating structure
- Each abstraction level must be backed by membership weights, exemplars, and provenance
- "The abstraction hierarchy should be semantic, not just geometric"
Audio Guidance for Template
The template's audio system should respect hierarchical continuity across zoom levels:
- L0 (close): localized, identity-rich — entity whispers and textures
- L1 (medium): regional harmonic beds, cluster pulses
- L2 (far): sparse drones, tension-based tonal movement
- L3 (comparison): stereo/dialogic between two vault voices
Zoom should feel like changing resolution, not changing universes. Motifs relate across scales.
© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (scripts, references, assets) in temple-generator of glebis/claude-skills.
- SKILL.md
- .claude-plugin/plugin.json
- assets/temple-template.html
- references/classification-guide.md
- references/entity-schema.md
- references/merge-algorithm.md
- screenshot.png
- scripts/extract_entities.py
Open the folder on GitHubat commit 7524dff
Compare with similar skills
Temple Generator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Temple Generator this skillglebis/claude-skills | 389 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Obsidian CLIAtmosphere/atmosphere | 3.8k | 13 repos | ~795 | Automated safety check: Pass | Apache-2.0 | |
| Second BrainNicholasSpisak/second-brain | 736 | 1 repos | ~1.5k | Automated safety check: Notes | None | |
| Hermes History IngestAr9av/obsidian-wiki | 3.5k | 1 repos | ~2.2k | Automated safety check: Notes | MIT | |
| LLM Wikilewislulu/llm-wiki-skill | 655 | — | ~3.7k | Automated safety check: Pass | None | |
| Obsidian Canvas BoardsAgriciDaniel/claude-obsidian | 15k | — | ~1.4k | Automated safety check: Pass | MIT |
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LLM Wiki
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Creates, inspects and updates Obsidian JSON Canvas boards in a vault, with text, file, link, group and edge nodes, using safe recoverable edits.
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Related
Works with
Categories
Questions about Temple Generator
What does Temple Generator do?
Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set. Temple Generator is an agent skill from glebis/claude-skills. Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set.
When should I use Temple Generator?
Temple Generator fits situations like: knowledge Management work in your project.
How do I install Temple Generator in Claude Code?
Run `npx skills add glebis/claude-skills --skill temple-generator -a claude-code`. Or copy the skill folder (temple-generator in glebis/claude-skills) into .claude/skills/temple-generator in your project. Claude Code loads it when a task matches its description.
How do I install Temple Generator in Codex?
Run `npx skills add glebis/claude-skills --skill temple-generator -a codex`. Or copy the skill folder (temple-generator in glebis/claude-skills) into .agents/skills/temple-generator in your project. Codex loads it when a task matches its description.
Can I use Temple Generator 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 temple-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/temple-generator, .gemini/skills/temple-generator, .github/skills/temple-generator and .opencode/skills/temple-generator in your project.
What does Temple Generator need to run?
Going by SKILL.md and its folder, Temple Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Temple Generator 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 Temple Generator 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Temple Generator use?
Temple Generator 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 Temple Generator use?
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.
What are the alternatives to Temple Generator?
Skills that share tags, products or a category with Temple Generator: Obsidian CLI (Atmosphere/atmosphere, 3.8k stars), Second Brain (NicholasSpisak/second-brain, 736 stars), Hermes History Ingest (Ar9av/obsidian-wiki, 3.5k stars) and LLM Wiki (lewislulu/llm-wiki-skill, 655 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Temple Generator?
glebis (a GitHub user) maintains it in glebis/claude-skills, which has 389 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.