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Wiki Cli

CommunityPopular
AgriciDaniel
wiki-cli

Detect and use the official Obsidian command-line interface for read-only vault access; use for wiki-cli, Obsidian CLI, Obsidian read, Obsidian search, vault transport, which transport, transport detection, backlinks, tags, or Obsidian command line. Mutations always go through the claude-obsidian transaction core.

Overview

PublisherAgriciDaniel
Repositoryclaude-obsidian
Skill namewiki-cli
Stars
15K
Forks
1.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Wiki Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-obsidian.git /tmp/claude-obsidian
mkdir -p .claude/skills
cp -r /tmp/claude-obsidian/skills/wiki-cli .claude/skills/wiki-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wiki Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wiki Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wiki Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Obsidian CLI read transport

Use this skill only to detect transport and read or search a selected vault. The official executable is obsidian; binary presence alone does not prove it is usable.

Resolve the installed product root from this skill's own location, not from the vault or current working directory:

bash
PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian
DETECT_TRANSPORT="$PRODUCT_ROOT/scripts/detect-transport.sh"
test -f "$DETECT_TRANSPORT"

Every ../wiki/references/ link in this file resolves the same way, relative to this skill's own directory under $PRODUCT_ROOT, never relative to the selected vault's wiki/ directory.

Detect safely

Probe without persisting host state:

bash
bash "$DETECT_TRANSPORT" --peek --vault "$VAULT"

Trust available.cli.usable, not merely present or exit status. A supported CLI can still be unavailable because the Obsidian app is not running, command line access is disabled, or its response is an error. Use filesystem reads as the portable fallback.

Persist a refreshed .vault-meta/transport.json only when the user or setup workflow asks for a transport snapshot:

bash
bash "$DETECT_TRANSPORT" --force --vault "$VAULT"

That file is derived runtime configuration, not knowledge content. Preserve a valid manual_override recorded by the detector.

Read and search

Run official CLI commands from the selected vault so Obsidian resolves the correct workspace. Confirm supported syntax with the installed CLI before relying on optional commands. Typical read-only forms are:

bash
(cd "$VAULT" && obsidian read path="$NOTE")
(cd "$VAULT" && obsidian search query="$QUERY")

Use read-only commands for backlinks, tags, or Bases results only when the detector reports the CLI ready. Otherwise read files under $VAULT directly and use rg for search. Reject absolute note arguments, traversal, symlinks, or resolved paths outside the selected vault.

Mutation boundary

Do not use CLI create, write, append, property-set, daily-append, move, rename, or delete commands. Do not replace those commands with direct filesystem writes. Any knowledge or configuration change must be expressed as one reviewed transaction through the portable core; see operation transactions.

Transport choice never changes mutation semantics. The CLI is an optional read surface, not a lock manager, transaction engine, or Git checkpoint mechanism.

Checkpoint

Observe actual capability, think about the least complex read transport, verify that every resolved path stays in the vault, and accept filesystem fallback when the CLI is not ready.

Frequently asked questions

What does the Wiki Cli AI skill do?

Detect and use the official Obsidian command-line interface for read-only vault access; use for wiki-cli, Obsidian CLI, Obsidian read, Obsidian search, vault transport, which transport, transport detection, backlinks, tags, or Obsidian command line. Mutations always go through the claude-obsidian transaction core.

Why use Wiki Cli on TypingMind?

Because you install it once and use it with any model. Wiki Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wiki Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-obsidian/tree/main/skills/wiki-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wiki Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wiki Cli?

As many as you like. As long as a model supports skills, you can use Wiki Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wiki Cli AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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