Automate Joplin note management through its terminal application. Create and organize notes and notebooks, update to-dos, manage tags and attachments, and run synchronization or import and export workflows with structured results.
中文简介正在准备中。当前显示英语简介。
Command-line interface for Joplin workflows using the real joplin terminal backend
安装前可以查看交给 AI 代理的指令内容。
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.
joplin--profile to target a specific Joplin profilecd joplin/agent-harness
pip install -e .
# 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
When --json is enabled, commands return:
ok: booleancommand: stable command identifier such as notes.list, todos.toggledata: command payloaderror: null on success, or { type, message } on failureproject: new, open, save, info, json, statusnotebooks: list, create, use, removenotes: list, create, set, get, remove, copy, move, renametodos: list, create, toggle, clear, done, undonetags: list, add, remove, notetags, tagnotessearch: runsync: run (--target, --upgrade, --use-lock)interop: import, exportconfig: get, set, list, export, import-fileattach: addstatus: show, restorebackend: version, dump, keymap, geoloc, export-sync-statusserver: status, start, stope2ee: status, target-status, decrypt, decrypt-filesession: status, undo, redo, history--json for parseable output.--project when running multi-step workflows so history is persisted.--dry-run is set.project save explicitly.search behind GUI mode; if you see
"only available in GUI mode", treat search as best-effort.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.stdout/stderr in command results are verbatim; do not assume
warnings were stripped from note bodies or exports.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.# 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 passedpython -m pytest -q cli_anything/joplin/tests -> 134 passed, 1 skipped还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.
中文简介正在准备中。当前显示英语简介。
Use Codex to build Python command-line tools for applications with graphical interfaces. Analyze source code, add commands, test against the actual software, validate packaging and documentation, and discover tools already generated or installed.
中文简介正在准备中。当前显示英语简介。
Build and improve Python command interfaces for GUI applications with OpenClaw. The skill guides source analysis, command design, testing, and packaging, including interactive sessions and structured JSON output for agents.
中文简介正在准备中。当前显示英语简介。
Inspect and edit 3MF files for 3D printing. Detect cylindrical holes, change their diameters, repair mesh issues, and compare files while preserving BambuStudio and PrusaSlicer metadata when repacking the edited file.
中文简介正在准备中。当前显示英语简介。
Manage AdGuard Home network filtering from the command line. Update blocklists, register devices, configure DNS rules that map names to addresses, and inspect query logs and statistics through the AdGuard Home REST API.
中文简介正在准备中。当前显示英语简介。
Generate slides, documents, websites, and diagrams from natural language prompts through AnyGen OpenAPI. Manage reference uploads, check generation progress, and download finished files using commands with structured output for AI agents.
中文简介正在准备中。当前显示英语简介。