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Timer Skill

Community
zeenie-ai
timer-skill

Set one-time delayed timers. Execute actions after a specified duration (seconds, minutes, hours, days).

Overview

Publisherzeenie-ai
RepositoryOpenCompany
Skill nametimer-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 Timer 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/task_agent/timer-skill .claude/skills/timer-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Timer 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 Timer 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 Timer 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.

Timer Tool

Set one-time delayed execution timers.

How It Works

This skill provides instructions for the Timer tool node. Connect the Timer node to Zeenie's input-tools handle to enable timed delays.

timer Tool

Create a one-time timer that triggers after a specified duration.

Schema Fields

FieldTypeRequiredDescription
durationnumberYesTime value for the delay
unitstringYesTime unit: "seconds", "minutes", "hours", "days"

Time Units

UnitRangeUse Case
seconds1-3600Short delays, testing
minutes1-1440Task reminders, short waits
hours1-168Scheduled checks, delayed notifications
days1-30Long-term reminders, follow-ups

Examples

30 second delay:

json
{
  "duration": 30,
  "unit": "seconds"
}

5 minute reminder:

json
{
  "duration": 5,
  "unit": "minutes"
}

1 hour delay:

json
{
  "duration": 1,
  "unit": "hours"
}

2 day follow-up:

json
{
  "duration": 2,
  "unit": "days"
}

Response Format

Timer set:

json
{
  "success": true,
  "message": "Timer set for 5 minutes",
  "duration": 5,
  "unit": "minutes",
  "duration_seconds": 300,
  "trigger_at": "2025-01-30T12:05:00Z"
}

Timer triggered:

json
{
  "success": true,
  "triggered": true,
  "message": "Timer completed after 5 minutes",
  "duration": 5,
  "unit": "minutes"
}

Error Response

json
{
  "error": "Duration must be a positive number"
}

Use Cases

Use CaseDurationUnitDescription
Quick test10-30secondsTesting workflow execution
Reminder5-30minutesShort-term reminders
Rate limit60secondsWait between API calls
Daily check24hoursDaily automation
Follow-up2-7daysLong-term follow-ups

Common Workflows

Delayed notification

  1. Receive user request for reminder
  2. Set timer with requested duration
  3. Timer triggers → send notification

Rate-limited API calls

  1. Make API call
  2. Set 60-second timer
  3. Timer triggers → make next call

Scheduled workflow

  1. Set timer for desired delay
  2. Timer triggers → execute workflow nodes

Integration with Workflow

When used as a trigger node in a workflow:

  1. Deploy the workflow
  2. Timer countdown begins
  3. After duration, downstream nodes execute

When used as AI tool:

  1. Agent decides to set timer
  2. Timer is scheduled
  3. Agent can proceed with other work
  4. Notification when timer triggers

Best Practices

  1. Use appropriate units: Don't use 3600 seconds when 1 hour is clearer
  2. Consider time zones: Timers use server time
  3. Account for drift: Long timers may have slight variance
  4. Test short first: Start with seconds before days
  5. Chain timers carefully: Avoid infinite loops

Limitations

  • Timers are not persistent across server restarts
  • Maximum practical delay depends on server uptime
  • Timers are one-time (use cron for recurring)

Setup Requirements

  1. Connect the Timer node to Zeenie's input-tools handle
  2. For workflow triggers, connect Timer as the first node
  3. Deploy workflow to activate timer

Frequently asked questions

What does the Timer Skill AI skill do?

Set one-time delayed timers. Execute actions after a specified duration (seconds, minutes, hours, days).

Why use Timer Skill on TypingMind?

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

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

Which AI models can use Timer 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 Timer Skill?

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

Is the Timer 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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