schedule-management

---

name: schedule-management description: Local schedule management for adding events, tracking deadlines, generating reminders, and detecting time conflicts when users need offline scheduling with optional popup notifications. license: MIT author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

• You need lightweight, offline/local-only schedule management without any cloud sync.
• You want to add meetings/events and store them in a simple local data directory.
• You need to track deadlines (modeled as events with type=deadline) and list them by time range.
• You want to detect scheduling conflicts (overlapping time windows on the same date).
• You need local reminders exported to a file and optionally shown as desktop popup notifications.

Key Features

• Add and store events locally in events.jsonl.
• List and filter events by time range.
• Import events (operation-driven workflow).
• Detect conflicts by checking overlapping time intervals.
• Generate upcoming reminders into reminders.csv.
• Optional popup notifications via a local script with deduplication using notified.log.
• Strict validation for required fields and time format.

Dependencies

• Python >= 3.9
• (Optional, for popup reminders) Windows PowerShell >= 5.1 to run scripts/notify.ps1

Example Usage

Time format must be YYYY-MM-DD HH:MM (24-hour).

1) Add an event with a reminder

python scripts/schedule_tool.py \
  --operation add \
  --data-dir "./data" \
  --title "Project Sync" \
  --start "2026-02-10 09:00" \
  --end "2026-02-10 10:00" \
  --type "meeting" \
  --location "Room 3A" \
  --notes "Bring status updates" \
  --tags "work,weekly" \
  --remind 30

2) List events

python scripts/schedule_tool.py \
  --operation list \
  --data-dir "./data"

3) Detect conflicts

python scripts/schedule_tool.py \
  --operation conflicts \
  --data-dir "./data"

4) Generate reminders export

python scripts/schedule_tool.py \
  --operation reminders \
  --data-dir "./data"

This generates:

• ./data/events.jsonl
• ./data/reminders.csv

5) (Optional) Show popup reminders with deduplication

1. Generate reminders first:

   python scripts/schedule_tool.py --operation reminders --data-dir "./data"
   

2. Run the notifier periodically (e.g., via Task Scheduler):

   powershell -ExecutionPolicy Bypass -File scripts/notify.ps1 -DataDir "./data"
   

Notifications are deduplicated using ./data/notified.log so each reminder time is shown only once.

Additional examples may be available in references/examples.md.

Implementation Details

• Storage

  • Events are appended to events.jsonl in the specified --data-dir.
  • Reminder exports are written to reminders.csv in the same directory.
  • Popup notification deduplication uses notified.log in the data directory.

• Operations

  • add: validates required fields and writes a new event record.
  • import: imports event records (format depends on the script’s supported import mode).
  • list: prints a summary of stored events (optionally filtered by time range).
  • conflicts: checks for overlapping events and reports conflicts.
  • reminders: computes upcoming reminder times and exports them.

• Time Parsing Rules

  • Accepted format: YYYY-MM-DD HH:MM (24-hour).
  • Invalid time formats are explicitly rejected.

• Conflict Detection

  • Two events conflict if they occur on the same date and their time intervals overlap:
    • Overlap condition: startA < endB and startB < endA
  • Conflicts are reported to standard output.

• Deadlines

  • A deadline is represented as an event with type=deadline.
  • Deadline tracking uses the same storage and listing mechanisms as other events.

• Failure Handling

  • Missing required fields terminates only the current operation (does not corrupt existing data).
  • Validation errors are surfaced clearly (e.g., invalid time format).

• Security & Compliance

  • No network access and no external APIs.
  • Reads/writes are restricted to the user-specified local --data-dir.