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Google Tasks Skill

Community
zeenie-ai
google-tasks-skill

Create, list, and complete Google Tasks. Supports task lists, due dates, and notes.

Overview

Publisherzeenie-ai
RepositoryOpenCompany
Skill namegoogle-tasks-skill
Stars
912
Forks
137
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 zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Google Tasks Skill 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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/productivity_agent/google-tasks-skill .claude/skills/google-tasks-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Tasks Skill 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 Google Tasks Skill 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 Google Tasks Skill 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.

Google Tasks Skill

Manage Google Tasks - create, list, and complete tasks.

Tool: google_tasks

Consolidated Google Tasks tool with operation parameter.

Operations

OperationDescriptionRequired Fields
createCreate a new tasktitle
listList tasks from a list(none, defaults to @default)
completeMark task as completedtask_id
updateUpdate an existing tasktask_id
deleteDelete a tasktask_id

create - Create a new task

FieldTypeRequiredDescription
operationstringYesMust be "create"
titlestringYesTask title
notesstringNoTask notes/description
due_datestringNoDue date (ISO 8601 or YYYY-MM-DD)
tasklist_idstringNoTask list ID (default: @default)

Example - Simple task:

json
{
  "operation": "create",
  "title": "Review quarterly report"
}

Example - Task with details:

json
{
  "operation": "create",
  "title": "Submit expense report",
  "notes": "Include receipts for conference travel",
  "due_date": "2024-02-15"
}

list - List tasks

FieldTypeRequiredDescription
operationstringYesMust be "list"
tasklist_idstringNoTask list ID (default: @default)
show_completedbooleanNoInclude completed tasks (default: false)
show_hiddenbooleanNoInclude hidden tasks (default: false)
max_resultsintegerNoMaximum results (default: 100)

Example - List pending tasks:

json
{
  "operation": "list",
  "show_completed": false,
  "max_results": 50
}

complete - Mark task as completed

FieldTypeRequiredDescription
operationstringYesMust be "complete"
task_idstringYesTask ID to complete
tasklist_idstringNoTask list ID (default: @default)

Example:

json
{
  "operation": "complete",
  "task_id": "abc123xyz"
}

update - Update a task

FieldTypeRequiredDescription
operationstringYesMust be "update"
task_idstringYesTask ID to update
tasklist_idstringNoTask list ID (default: @default)
update_titlestringNoNew title
update_notesstringNoNew notes
update_due_datestringNoNew due date
update_statusstringNoNew status: "needsAction" or "completed"

Example:

json
{
  "operation": "update",
  "task_id": "abc123xyz",
  "update_title": "Updated task title",
  "update_due_date": "2024-03-01"
}

delete - Delete a task

FieldTypeRequiredDescription
operationstringYesMust be "delete"
task_idstringYesTask ID to delete
tasklist_idstringNoTask list ID (default: @default)

Example:

json
{
  "operation": "delete",
  "task_id": "abc123xyz"
}

Task Statuses

StatusDescription
needsActionTask is pending
completedTask is done

Date Formats

  • ISO 8601: 2024-02-15T14:00:00Z
  • Date only: 2024-02-15 (interpreted as midnight UTC)

Working with Task Lists

The default task list is @default. To work with custom lists:

  1. Use Google Tasks app to create lists
  2. Get list ID from API (not exposed in this skill yet)
  3. Pass tasklist_id parameter

Common Workflows

  1. Daily review: List pending tasks, prioritize
  2. Add reminders: Create tasks with due dates
  3. Track completion: Mark tasks done as you finish
  4. Weekly planning: Create tasks for the week ahead

Tips

  • Tasks without due dates appear at the top of the list
  • Completed tasks are hidden by default
  • Notes can contain multiline text
  • Due dates are in UTC timezone

Setup Requirements

  1. Connect Tasks node to AI Agent's input-tools handle
  2. Authenticate with Google Workspace in Credentials Modal
  3. Ensure Tasks API scopes are authorized

Frequently asked questions

What does the Google Tasks Skill AI skill do?

Create, list, and complete Google Tasks. Supports task lists, due dates, and notes.

Why use Google Tasks Skill on TypingMind?

Because you install it once and use it with any model. Google Tasks Skill 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 Google Tasks Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/productivity_agent/google-tasks-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Google Tasks Skill?

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 Google Tasks Skill?

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

Is the Google Tasks Skill AI skill free?

Yes. It is published on GitHub by zeenie-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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