midday-checkin

Scan tasks and meeting records to detect overdue items and meeting anomalies.

Updated May 6, 2026
One-click install
npx skills add https://github.com/Uniquecrete/ThinkFasterv1 --skill midday-checkin-uniquecrete
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: midday-checkin
Source: https://github.com/Uniquecrete/ThinkFasterv1/tree/main/Skills/midday-checkin
Command: npx skills add https://github.com/Uniquecrete/ThinkFasterv1 --skill midday-checkin-uniquecrete

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires duckdb, and includes scripts (resource) components.

What problem does it solve?

It prevents midday productivity blind spots by detecting overdue or stale commitments and surfacing relevant meeting context before the user has to ask.

Core Features & Use Cases

  • Pattern detection for tasks and meetings: Scans a DuckDB tasks database (when available) and meeting records to find overdue, stale, and workload-related signals, returning findings as categorized JSON.
  • Context warming for upcoming meetings: Pulls remaining calendar events for the rest of the day and pre-associates external participants with recent meeting history and open threads to speed up the afternoon.
  • AI continuity checkpoint with selective delivery: Maintains state between runs, optionally saves a brief Supermemory breadcrumb, and sends an SMS only when thresholds are met (e.g., high-severity overdue items or time-sensitive meetings).

Quick Start

Run the skill’s pattern detection at noon by executing the patterns script, then review the JSON output and the generated midday briefing in Records/Briefings for what changed since the morning.

Frequently Asked Questions about midday-checkin

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect task drift and overdue items before my afternoon meetings?

To detect task drift, you can run a midday check-in script that scans tasks and recent meeting records to compute delta findings. This identifies overdue items, stale work, and unprocessed meeting records before your afternoon starts.

How does pattern detection for meetings and tasks work with DuckDB?

Pattern detection works by querying an optional DuckDB tasks database and reading meeting markdown records. The script scans these sources to find workload-related signals, stale tasks, and meeting load changes, then outputs findings as categorized JSON.

Do I need DuckDB to run a midday check-in for task triage?

No, DuckDB access to tasks.db is optional for running a midday check-in. The script can still detect task drift using a required state file for delta detection and optional reading of meeting markdown records.

Can I send an SMS alert only when high-severity overdue items are found?

Yes, the midday check-in supports selective SMS delivery based on specific thresholds. It sends an SMS only when high-severity overdue items or time-sensitive meetings are detected during the pattern detection scan.

What is context warming and how does it help with upcoming calendar events?

Context warming pulls remaining calendar events for the day and pre-associates external participants with recent meeting history and open threads. This prepares relevant context in advance to speed up your afternoon meetings.

Why is a state file required for detecting anomalies in a task database?

A state file is required to compute delta findings between scheduled midday check-in runs. By maintaining state, the script can accurately identify new anomalies, meeting load changes, and task drift since the previous execution.