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schedule-management

Productivity
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Local schedule management for adding events, tracking deadlines, generating reminders, and detecting time conflicts when users need offline scheduling with optional popup notifications.

QUICK START

How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/aipoch/medical-research-skills/blob/HEAD/scientific-skills/Other/schedule-management/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/schedule-management/. Do not write files or run scripts until I approve.

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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.