qwwiwi/public-architecture-claude-code/quick-reminders

Claude Code and agent skill by qwwiwi/public-architecture-claude-code

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One-shot reminders up to 48 hours. Zero LLM tokens at fire time. Use when: remind me, set reminder, don't forget, напомни.

Install

npx vskill@latest install qwwiwi/public-architecture-claude-code/quick-reminders

SKILL.md

Quick Reminders

Zero-LLM one-shot reminders for events within 48 hours.

At creation time: agent composes the final message. At fire time: background process delivers it without consuming any LLM tokens.

Usage

bash
# Add reminder
bash $CLAUDE_SKILL_DIR/scripts/nohup-reminder.sh add "Call John about the project" \
--target CHAT_ID -t 2h
# List active reminders
bash $CLAUDE_SKILL_DIR/scripts/nohup-reminder.sh list
# Remove by ID
bash $CLAUDE_SKILL_DIR/scripts/nohup-reminder.sh remove ID
# Remove all
bash $CLAUDE_SKILL_DIR/scripts/nohup-reminder.sh remove --all

Time Formats

FormatExampleMeaning
Relative30m, 2h, 1d, 1h30mFrom now
Absolute2026-01-02T15:00:00+03:00ISO-8601

Limit: Maximum 48 hours. For longer -- use calendar.

Delivery

The script uses nohup sleep + delivery command in the background. Configure delivery in the script or use the --channel flag:

ChannelFlag
Telegram (default)--channel telegram
Discord--channel discord
Slack--channel slack

Message Style

  • Sound human: "Hey, you wanted to call John about the project"
  • NOT robotic: "Reminder: Call John about the project"
  • Compose the message at creation time in future tense
  • Confirm with one short phrase: "Will remind you in 2 hours"

Setup

Requires: jq (install: apt install jq or brew install jq)

Configure delivery target (Telegram chat ID, Discord webhook, etc.) in the script or pass via --target.

How It Works

  1. Agent composes final message text
  2. Script starts nohup sleep SECONDS && deliver in background
  3. Process is detached from terminal (disown)
  4. At fire time: message delivered, reminder auto-removed
  5. Zero LLM tokens consumed at delivery

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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