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Automation

OrganizationPopular
ginlix-ai
automation

Create and manage scheduled and price-triggered automations.

Overview

Publisherginlix-ai
RepositoryLangAlpha
Skill nameautomation
Stars
1.8K
Forks
288
Bundled files
Instructions only
LicenseApache-2.0
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 ginlix-ai on GitHub. Read the source before you install it.

Installation

Install the Automation 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/ginlix-ai/LangAlpha.git /tmp/LangAlpha
mkdir -p .claude/skills
cp -r /tmp/LangAlpha/plugins/langalpha_service/skills/automation .claude/skills/automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Automation 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 Automation 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 Automation 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.

Automation Skill

This skill provides 3 tools for creating and managing scheduled automations:

  • check_automations - List all or inspect a specific automation
  • create_automation - Create a new scheduled automation
  • manage_automation - Update, pause, resume, trigger, or delete automations

You should call these tools directly instead of using ExecuteCode tool.

Before Creating an Automation

Always confirm with the user before calling create_automation. Automations run autonomously on a schedule, so getting the details right matters. If the user's request is unclear or underspecified, ask to clarify:

  • Schedule — "Every morning" is ambiguous. Confirm the exact time and days (e.g. "Weekdays at 9 AM in your timezone?").
  • Thread strategy — If the task involves ongoing analysis or follow-ups, ask whether they want results in a fresh thread each time, a single persistent thread, or the current conversation.
  • Instruction — The instruction runs without further user input. If the user gives a vague prompt like "check my portfolio", refine it: what tickers? what metrics? what format?
  • Delivery — If the user hasn't mentioned how they want to receive results, ask if they want delivery (e.g. Slack) or just in-app.

Summarize what you're about to create and get a "yes" before calling the tool.


Tool 1: check_automations

List all automations or inspect a specific one with execution history.

ParameterTypeRequiredDescription
automation_idstrNoAutomation ID to inspect. Omit to list all.

Examples

python
# List all automations
check_automations()

# Inspect a specific automation (includes last 5 executions)
check_automations(automation_id="abc-123")

Tool 2: create_automation

Create a new scheduled automation.

ParameterTypeRequiredDescription
namestrYesShort name for the automation
instructionstrYesThe prompt the agent will execute on each run
schedulestrYesCron expression or ISO datetime (see below)
descriptionstrNoOptional description
threadstrNo"new" (default), "persistent", or "current" (see Thread Strategy)
deliverystrNoComma-separated delivery methods (e.g. "slack")

Thread Strategy

ModeBehavior
"new"Fresh thread each run — no conversation history carried over (default)
"persistent"Single dedicated thread — all runs share conversation history
"current"Pins to the current conversation thread — automation runs continue here

Schedule Format

  • Recurring (cron): Standard 5-field cron expression
    • 0 9 * * 1-5 — weekdays at 9 AM
    • 0 */4 * * * — every 4 hours
    • 30 8 1 * * — 1st of each month at 8:30 AM
  • One-time (ISO datetime):
    • 2026-03-01T10:00:00 — single execution at that time

Examples

python
# Daily market briefing on weekdays at 9 AM
create_automation(
    name="Morning Market Brief",
    instruction="Summarize overnight market moves, top gainers/losers, and any news for my watchlist.",
    schedule="0 9 * * 1-5",
)

# One-time earnings reminder
create_automation(
    name="AAPL Earnings Reminder",
    instruction="Analyze AAPL ahead of earnings: recent price action, analyst expectations, key metrics to watch.",
    schedule="2026-04-30T08:00:00",
    description="Pre-earnings analysis for Apple Q2 2026",
)

# Daily report delivered to Slack
create_automation(
    name="Morning Market Brief",
    instruction="Summarize overnight market moves for my watchlist.",
    schedule="0 9 * * 1-5",
    delivery="slack",
)

# Automation with persistent thread (all runs share history)
create_automation(
    name="Weekly Portfolio Review",
    instruction="Review my portfolio performance and update the analysis.",
    schedule="0 9 * * 1",
    thread="persistent",
)

# Automation that continues in the current conversation
create_automation(
    name="Hourly Price Check",
    instruction="Check AAPL, MSFT, GOOGL prices and alert if any moved >2%.",
    schedule="0 * * * *",
    thread="current",
)

Price-Triggered Automations

In addition to cron/datetime schedules, automations can trigger when a stock price meets a specific condition. Set trigger_type="price" and provide a trigger_config dict instead of (or alongside) a schedule.

Condition Types

ConditionDescription
price_aboveFires when price rises above the given value
price_belowFires when price drops below the given value
pct_change_aboveFires when percentage change exceeds the given value
pct_change_belowFires when percentage change drops below the given (negative) value

For percentage conditions, reference sets the baseline price:

ReferenceDescription
previous_closePrior trading day's closing price (default)
day_openCurrent trading day's opening price

Retrigger Modes

ModeBehavior
one_shotTrigger once, then mark completed (default)
recurringRe-arm after cooldown. Omit cooldown_seconds for once-per-trading-day default, or set cooldown_seconds (min 14400 = 4 hours) for custom interval.

Examples

python
# Alert when AAPL drops below $150 (one-shot)
create_automation(
    name="AAPL Price Alert",
    instruction="AAPL has dropped below $150. Summarize recent news and analyst sentiment.",
    trigger_type="price",
    trigger_config={
        "symbol": "AAPL",
        "conditions": [{"type": "price_below", "value": 150}],
    },
)

# Run analysis when TSLA moves up 5% from yesterday's close
create_automation(
    name="TSLA Momentum Alert",
    instruction="TSLA is up 5% from yesterday's close. Analyze volume, technicals, and any catalysts.",
    trigger_type="price",
    trigger_config={
        "symbol": "TSLA",
        "conditions": [
            {"type": "pct_change_above", "value": 5, "reference": "previous_close"},
        ],
    },
)

# Recurring alert with 4-hour cooldown
create_automation(
    name="BTC Volatility Watch",
    instruction="BTC moved more than 3% from today's open. Summarize order flow and sentiment.",
    trigger_type="price",
    trigger_config={
        "symbol": "BTC-USD",
        "conditions": [
            {"type": "pct_change_above", "value": 3, "reference": "day_open"},
        ],
        "retrigger": {"mode": "recurring", "cooldown_seconds": 14400},
    },
)

Agent Guidelines for Price Triggers

  • Confirm before creating. Always repeat the symbol, condition, threshold value, and retrigger mode back to the user and get explicit confirmation.
  • Default to one_shot retrigger mode unless the user asks for repeated alerts. For recurring, omit cooldown_seconds to default to once per trading day.
  • Use flash mode by default for price-triggered automations (lightweight, low-latency execution).

Tool 3: manage_automation

Manage an existing automation.

ParameterTypeRequiredDescription
automation_idstrYesAutomation ID to manage
actionstrYesOne of: update, pause, resume, trigger, delete
namestrNoNew name (update only)
descriptionstrNoNew description (update only)
instructionstrNoNew prompt (update only)
schedulestrNoNew cron or ISO datetime (update only)
threadstrNo"new", "persistent", or "current" (update only)
deliverystrNoComma-separated delivery methods (update only)
remove_deliveryboolNoSet to true to remove delivery config (update only)

Action Reference

ActionDescription
updateChange name, description, instruction, schedule, thread strategy, or delivery
pauseTemporarily stop the automation from running
resumeRe-enable a paused automation
triggerRun the automation immediately (outside normal schedule)
deletePermanently remove the automation

Examples

python
# Pause an automation
manage_automation(automation_id="abc-123", action="pause")

# Resume it
manage_automation(automation_id="abc-123", action="resume")

# Trigger an immediate run
manage_automation(automation_id="abc-123", action="trigger")

# Update the schedule to run every Monday at 8 AM
manage_automation(
    automation_id="abc-123",
    action="update",
    schedule="0 8 * * 1",
)

# Switch an automation to a persistent thread
manage_automation(automation_id="abc-123", action="update", thread="persistent")

# Remove delivery from an automation
manage_automation(automation_id="abc-123", action="update", remove_delivery=True)

# Delete an automation
manage_automation(automation_id="abc-123", action="delete")

Frequently asked questions

What does the Automation AI skill do?

Create and manage scheduled and price-triggered automations.

Why use Automation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Automation?

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 Automation?

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

Is the Automation AI skill free?

Yes. It is published on GitHub by ginlix-ai under the Apache-2.0 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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