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Prismer Apple Reminders

OrganizationPopular
Prismer-AI
prismer-apple-reminders

Apple Reminders via remindctl: add, list, complete.

Overview

PublisherPrismer-AI
RepositoryPrismerCloud
Skill nameprismer-apple-reminders
Stars
1.6K
Forks
17
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Prismer Apple Reminders 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/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-apple-reminders
  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/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/prismer-apple-reminders .claude/skills/prismer-apple-reminders
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prismer Apple Reminders 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 Prismer Apple Reminders 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 Prismer Apple Reminders 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.

Prismer execution contract

This is the uniquely named prismer-apple-reminders skill, adapted from Hermes. Use the actual tools exposed by the executing host; examples using terminal, process, delegate_task, vision_analyze or browser_* are not tool registrations. Missing dependencies do not hide this skill. Report command startup, version, account/permissions and task-specific live verification separately. Use task-owned artifact paths and existing user authorization; do not change shared accounts, Runtime/provider configuration, global security settings or unrelated work. See NOTICE.md and LICENSE for resource provenance. Runtime availability and upstream-entry suppression are owned by the integration layer.

Apple Reminders

Use remindctl to manage Apple Reminders directly from the terminal. Tasks sync across all Apple devices via iCloud.

Prerequisites

Resolve SKILL_ROOT to this installed directory and run python3 "$SKILL_ROOT/scripts/readiness.py" reminders, then remindctl --version. The startup probe does not authorize EventKit or verify iCloud/notifications. The audited 0.1.1 lacks --alarm: enable the alarm examples below only when the installed add/edit help explicitly supports that flag. Otherwise report the early-notification requirement blocked; do not silently substitute a due date.

  • macOS with Reminders.app
  • Install: brew install steipete/tap/remindctl
  • Grant Reminders permission when prompted
  • Check: remindctl status / Request: remindctl authorize

When to Use

  • User mentions "reminder" or "Reminders app"
  • Creating personal to-dos with due dates that sync to iOS
  • Managing Apple Reminders lists
  • User wants tasks to appear on their iPhone/iPad

When NOT to Use

  • Scheduling agent alerts → use the actual Prismer task scheduler, not an invented cronjob tool
  • Calendar events → use Apple Calendar or Google Calendar
  • Project task management → use GitHub Issues, Notion, etc.
  • If user says "remind me" but means an agent alert → clarify first

Quick Reference

View Reminders

bash
remindctl                    # Today's reminders
remindctl today              # Today
remindctl tomorrow           # Tomorrow
remindctl week               # This week
remindctl overdue            # Past due
remindctl all                # Everything
remindctl 2026-01-04         # Specific date

Manage Lists

bash
remindctl list               # List all lists
remindctl list Work          # Show specific list
remindctl list Projects --create    # Create list
remindctl list Work --delete        # Delete list

Create Reminders

bash
remindctl add "Buy milk"
remindctl add --title "Call mom" --list Personal --due tomorrow
remindctl add --title "Meeting prep" --due "2026-02-15 09:00"

Due Time vs Alarm / Early Nudge

When the installed version supports both, --due and --alarm are different fields:

  • --due sets the reminder's due date/time.
  • --alarm sets the EventKit alarm/notification trigger. Timed due reminders may default to an alarm at the due time, but pass --alarm explicitly when the user asks for an earlier nudge.

For a reminder due at 2:00 PM with a notification 30 minutes earlier:

bash
remindctl add --title "Hairdresser" --due "2026-05-15 14:00" --alarm "2026-05-15 13:30"

To edit an existing reminder:

bash
remindctl edit 87354 --due "2026-05-15 14:00" --alarm "2026-05-15 13:30"

The Reminders UI may show or group the item by the alarm time because that is when the notification fires. Verify with JSON instead of assuming the due time moved:

bash
remindctl today --json

Read the actual version's JSON schema; the following fields are version-dependent:

  • dueDate: actual due time
  • alarmDate: notification / early nudge time

Apple's public EKReminder docs list only reminder-specific properties. Alarm support comes from inherited EKCalendarItem behavior exposed by remindctl's --alarm flag.

Complete / Delete

bash
remindctl complete 1 2 3          # Complete by ID
remindctl delete 4A83 --force     # Delete by ID

Output Formats

bash
remindctl today --json       # JSON for scripting
remindctl today --plain      # TSV format
remindctl today --quiet      # Counts only

Date Formats

Accepted by --due and date filters:

  • today, tomorrow, yesterday
  • YYYY-MM-DD
  • YYYY-MM-DD HH:mm
  • ISO 8601 (2026-01-04T12:34:56Z)

Rules

  1. Clarify Apple Reminders versus an agent scheduled task only when intent is ambiguous.
  2. Use the user's stated content/time authorization; clarify only missing fields.
  3. Use --json for programmatic parsing
  4. Record host timezone and resolved timestamp. Read back the exact created ID; help/JSON success alone does not prove the notification was delivered.

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 Prismer Apple Reminders AI skill do?

Apple Reminders via remindctl: add, list, complete.

Why use Prismer Apple Reminders on TypingMind?

Because you install it once and use it with any model. Prismer Apple Reminders 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 Prismer Apple Reminders in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-apple-reminders. 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 Prismer Apple Reminders?

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 Prismer Apple Reminders?

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

Is the Prismer Apple Reminders AI skill free?

Yes. It is published on GitHub by Prismer-AI 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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