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Caldav Calendar

Community
bighardperson
caldav-calendar

Sync and query CalDAV calendars (iCloud, Google, Fastmail, Nextcloud, etc.) using vdirsyncer + khal. Works on Linux.

Overview

Publisherbighardperson
Repositorycomputer-science-skills-collection
Skill namecaldav-calendar
Stars
66
Forks
10
Bundled files
1
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Caldav Calendar 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.
    https://github.com/bighardperson/computer-science-skills-collection/tree/main/skills/CalDAV%20日历
  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.

Use it in TypingMind

Enable Caldav Calendar 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 Caldav Calendar 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 Caldav Calendar 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.

CalDAV Calendar (vdirsyncer + khal)

vdirsyncer syncs CalDAV calendars to local .ics files. khal reads and writes them.

Sync First

Always sync before querying or after making changes:

bash
vdirsyncer sync

View Events

bash
khal list                        # Today
khal list today 7d               # Next 7 days
khal list tomorrow               # Tomorrow
khal list 2026-01-15 2026-01-20  # Date range
khal list -a Work today          # Specific calendar

Search

bash
khal search "meeting"
khal search "dentist" --format "{start-date} {title}"

Create Events

bash
khal new 2026-01-15 10:00 11:00 "Meeting title"
khal new 2026-01-15 "All day event"
khal new tomorrow 14:00 15:30 "Call" -a Work
khal new 2026-01-15 10:00 11:00 "With notes" :: Description goes here

After creating, sync to push changes:

bash
vdirsyncer sync

Edit Events (interactive)

khal edit is interactive — requires a TTY. Use tmux if automating:

bash
khal edit "search term"
khal edit -a CalendarName "search term"
khal edit --show-past "old event"

Menu options:

  • s → edit summary
  • d → edit description
  • t → edit datetime range
  • l → edit location
  • D → delete event
  • n → skip (save changes, next match)
  • q → quit

After editing, sync:

bash
vdirsyncer sync

Delete Events

Use khal edit, then press D to delete.

Output Formats

For scripting:

bash
khal list --format "{start-date} {start-time}-{end-time} {title}" today 7d
khal list --format "{uid} | {title} | {calendar}" today

Placeholders: {title}, {description}, {start}, {end}, {start-date}, {start-time}, {end-date}, {end-time}, {location}, {calendar}, {uid}

Caching

khal caches events in ~/.local/share/khal/khal.db. If data looks stale after syncing:

bash
rm ~/.local/share/khal/khal.db

Initial Setup

1. Configure vdirsyncer (~/.config/vdirsyncer/config)

Example for iCloud:

ini
[general]
status_path = "~/.local/share/vdirsyncer/status/"

[pair icloud_calendar]
a = "icloud_remote"
b = "icloud_local"
collections = ["from a", "from b"]
conflict_resolution = "a wins"

[storage icloud_remote]
type = "caldav"
url = "https://caldav.icloud.com/"
username = "your@icloud.com"
password.fetch = ["command", "cat", "~/.config/vdirsyncer/icloud_password"]

[storage icloud_local]
type = "filesystem"
path = "~/.local/share/vdirsyncer/calendars/"
fileext = ".ics"

Provider URLs:

  • iCloud: https://caldav.icloud.com/
  • Google: Use google_calendar storage type
  • Fastmail: https://caldav.fastmail.com/dav/calendars/user/EMAIL/
  • Nextcloud: https://YOUR.CLOUD/remote.php/dav/calendars/USERNAME/

2. Configure khal (~/.config/khal/config)

ini
[calendars]
[[my_calendars]]
path = ~/.local/share/vdirsyncer/calendars/*
type = discover

[default]
default_calendar = Home
highlight_event_days = True

[locale]
timeformat = %H:%M
dateformat = %Y-%m-%d

3. Discover and sync

bash
vdirsyncer discover   # First time only
vdirsyncer sync

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Caldav Calendar AI skill do?

Sync and query CalDAV calendars (iCloud, Google, Fastmail, Nextcloud, etc.) using vdirsyncer + khal. Works on Linux.

Why use Caldav Calendar on TypingMind?

Because you install it once and use it with any model. Caldav Calendar 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 Caldav Calendar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bighardperson/computer-science-skills-collection/tree/main/skills/CalDAV%20日历. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Caldav Calendar?

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 Caldav Calendar?

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

Is the Caldav Calendar AI skill free?

It is published on GitHub by bighardperson. Check the repository for licensing terms. 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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