cutec-chris/automation
skills/automation/SKILL.md
Create and manage scheduled automations. Use when the user wants something to happen automatically on a schedule (e.g. 'send me a daily report at 16:00', 'check the weather every morning', 'remind me to stand up every hour').
tools
Updated May 18, 2026
$ install --global
skillsauthnpx skillsauth add cutec-chris/PawLia automationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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95%
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Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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OWASP Dep-Check
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Last scanned: May 18, 2026, 2:39 AM219.3s2 files scanned
SKILL.md
- name:
- automation
- description:
- Create and manage scheduled automations. Use when the user wants something to happen automatically on a schedule (e.g. 'send me a daily report at 16:00', 'check the weather every morning', 'remind me to stand up every hour').
- license:
- MIT
- author:
- Christian Ulrich
- version:
- 2.0
Automation
Creates scheduled automations that are executed by the LLM at the specified times. No scripts needed — the LLM runs the instruction directly using its available skills.
Two Approaches
Variante A — Simple (for trivial tasks)
When the task is simple and can be done with existing skills in one step:
- Register the job directly with a natural-language instruction
Example: "Zeige offene Aufgaben", "Was steht heute im Kalender?", "Wie spät ist es"
Variante B — Skill + Automation (for non-trivial tasks)
When the task requires API calls, data processing, complex logic, or needs to be reliable:
- First: Use the skill-creator to build a dedicated skill for the task
- Then: Register an automation that calls the skill via a simple instruction
Example: "Erstelle einen Wetterbericht" → Build weather skill first, then automate "Nutze den weather Skill"
When to use which
- Simple: Single-step tasks that any existing skill can handle directly
- Skill + Automation: Everything else — API calls, multi-step logic, web scraping, data processing
- In doubt: Build a skill. A dedicated skill is always more robust than a fragile instruction.
Instructions
Step 1 (only for Variante B): Build the skill
If the task is non-trivial, use the skill-creator skill first:
Call skill-creator with: "Baue einen Skill der [task description]"
Wait for the skill to be created and confirmed before proceeding.
Step 2: Register the automation
Use the organizer script to register the job:
python <scripts_dir>/../organizer/scripts/organizer.py add-job \
--name "<descriptive name>" \
--schedule "<schedule>" \
--instruction "<instruction>"
Schedule formats:
"16:00"— daily at 16:00"interval:5m"— every 5 minutes"interval:1h"— every hour"weekly:0:09:00"— weekly Monday at 09:00 (0=Mon..6=Sun)"monthly:1:10:00"— monthly on the 1st at 10:00
Instruction examples:
- Simple:
"Lies die Datei workspace/tasks.md und zeige die offenen Aufgaben" - Skill call:
"Nutze den weather Skill um mir das aktuelle Wetter für Hamburg zu zeigen" - Multi-step:
"Prüfe Kalender und Aufgaben für heute, dann fasse beides kurz zusammen"
Managing existing jobs
List jobs:
python <scripts_dir>/../organizer/scripts/organizer.py list-jobs
Delete a job:
python <scripts_dir>/../organizer/scripts/organizer.py delete-job --job-id "<id>"
Toggle a job (enable/disable):
python <scripts_dir>/../organizer/scripts/organizer.py toggle-job --job-id "<id>"
Output
After registering, confirm to the user:
- What the automation does (the instruction)
- How often it runs (the schedule)
- If a skill was built: mention the skill name
- That they can ask to list, disable, or delete it later
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