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Cli Anything Joplin

OrganizationPopular
HKUDS
cli-anything-joplin

Command-line interface for Joplin workflows using the real joplin terminal backend

Overview

PublisherHKUDS
RepositoryCLI-Anything
Skill namecli-anything-joplin
Stars
49.5K
Forks
4.6K
Bundled files
Instructions only
LicenseApache-2.0
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 HKUDS on GitHub. Read the source before you install it.

Installation

Install the Cli Anything Joplin 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/HKUDS/CLI-Anything.git /tmp/CLI-Anything
mkdir -p .claude/skills
cp -r /tmp/CLI-Anything/joplin/agent-harness/cli_anything/joplin/skills .claude/skills/cli-anything-joplin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cli Anything Joplin 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 Cli Anything Joplin 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 Cli Anything Joplin 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.

cli-anything-joplin

Use this skill to automate Joplin notebook, note, to-do, tag, attachment, search, sync, and import/export workflows through a stateful harness backed by the real joplin terminal binary.

Requirements

  • Python 3.10+
  • Joplin terminal binary available as joplin
  • Optional: pass --profile to target a specific Joplin profile

Install

bash
cd joplin/agent-harness
pip install -e .

Usage

bash
# REPL mode (default)
cli-anything-joplin

# Machine-readable one-shot command
cli-anything-joplin --json notebooks list

# Stateful project
cli-anything-joplin project new --name demo -o ./demo.joplin-harness.json
cli-anything-joplin --project ./demo.joplin-harness.json notes create "Meeting note"

# Dry-run (no auto-save)
cli-anything-joplin --json --dry-run --project ./demo.joplin-harness.json notes create temp

JSON output contract

When --json is enabled, commands return:

  • ok: boolean
  • command: stable command identifier such as notes.list, todos.toggle
  • data: command payload
  • error: null on success, or { type, message } on failure

Command groups

  • project: new, open, save, info, json, status
  • notebooks: list, create, use, remove
  • notes: list, create, set, get, remove, copy, move, rename
  • todos: list, create, toggle, clear, done, undone
  • tags: list, add, remove, notetags, tagnotes
  • search: run
  • sync: run (--target, --upgrade, --use-lock)
  • interop: import, export
  • config: get, set, list, export, import-file
  • attach: add
  • status: show, restore
  • backend: version, dump, keymap, geoloc, export-sync-status
  • server: status, start, stop
  • e2ee: status, target-status, decrypt, decrypt-file
  • session: status, undo, redo, history

Agent guidance

  • Prefer --json for parseable output.
  • Use --project when running multi-step workflows so history is persisted.
  • One-shot mutating commands auto-save the project unless --dry-run is set.
  • REPL mode does not auto-save; run project save explicitly.
  • Some Joplin CLI builds gate search behind GUI mode; if you see "only available in GUI mode", treat search as best-effort.
  • Joplin 3.6.x can have a broken version command in npm global layouts; the harness falls back to installed package metadata for backend version, probing the symlink-resolved binary directory, the Windows-style sibling node_modules/joplin, the Unix-style parent lib/node_modules/joplin, and finally npm root -g.
  • Backend stdout/stderr in command results are verbatim; do not assume warnings were stripped from note bodies or exports.
  • On failure, parse error using the same command field as success (config.import_file, e2ee.decrypt_file). Multi-word subcommands use a single dot between group and subcommand.

Test workflow

bash
# Quick feedback loop
python -m pytest -q cli_anything/joplin/tests/test_core.py
python -m pytest -q cli_anything/joplin/tests/test_full_e2e.py::TestCLISubprocess

# Real backend (joplin must be in PATH)
python -m pytest -v cli_anything/joplin/tests/test_full_e2e.py::TestBackendCommands
python -m pytest -v cli_anything/joplin/tests/test_full_e2e.py::TestBackendWorkflows
python -m pytest -v cli_anything/joplin/tests/test_full_e2e.py::TestBackendIntegration

# Full suite
python -m pytest -v --tb=no cli_anything/joplin/tests

# Verify the installed console script entry point
CLI_ANYTHING_FORCE_INSTALLED=1 python -m pytest -v -s cli_anything/joplin/tests/test_full_e2e.py

Current validation baseline (Windows + Joplin CLI 3.6.2):

  • python -m pytest -q cli_anything/joplin/tests/test_core.py -> 107 passed
  • python -m pytest -q cli_anything/joplin/tests -> 134 passed, 1 skipped

Frequently asked questions

What does the Cli Anything Joplin AI skill do?

Command-line interface for Joplin workflows using the real joplin terminal backend

Why use Cli Anything Joplin on TypingMind?

Because you install it once and use it with any model. Cli Anything Joplin 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 Cli Anything Joplin in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/CLI-Anything/tree/main/joplin/agent-harness/cli_anything/joplin/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cli Anything Joplin?

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 Cli Anything Joplin?

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

Is the Cli Anything Joplin AI skill free?

Yes. It is published on GitHub by HKUDS under the Apache-2.0 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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