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commitment-digest

Summarize open commitments, signals, and resolutions from structured memory scans.

1|Updated May 7, 2026
Search Tags:#task management#report#deadlines#summarize#commitments
One-click install
npx skills add https://github.com/faustellar1995/pycoder --skill commitment-digest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: commitment-digest
Source: https://github.com/faustellar1995/pycoder/tree/main/skills/commitment-digest
Command: npx skills add https://github.com/faustellar1995/pycoder --skill commitment-digest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It provides concise summaries of open commitments, deadlines, and pending signals, helping users stay organized and informed.

Core Features & Use Cases

  • Data Gathering: Collects information on open, overdue, and resolved commitments using structured memory scans.
  • Digest Composition: Assembles a clear, ordered report categorizing commitments, signals, and resolutions.
  • Use Case: A project manager reviews upcoming deadlines and overdue tasks, receiving a compact report that highlights priorities and outstanding signals.

Quick Start

Ask the AI "show commitments" or similar to get an immediate summary of your current obligations and statuses.

Frequently Asked Questions about commitment-digest

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

FAQPage Schema
How do I summarize open commitments and deadlines for my projects?▼

A commitment digest scans structured memory to summarize open commitments and deadlines into a concise report. It categorizes overdue and resolved obligations by analyzing file metadata to highlight priorities and outstanding signals without executing external code.

What is the best way to track pending signals and resolutions across tasks?▼

Tracking pending signals involves assembling an ordered digest that categorizes commitments, signals, and resolutions. It relies on structured memory insights to map task statuses and provide a clear overview of current obligations.

How do I generate a quick report of upcoming deadlines and overdue tasks?▼

Generating a report of upcoming deadlines involves asking the AI to show commitments. It collects information on open and overdue tasks using structured memory scans to produce a compact summary of your priorities.

Do I need external code execution to manage task summaries from file metadata?▼

No external code execution is needed to manage task summaries. The digest relies entirely on structured memory insights and file structure analysis to compose its commitment reports.

Can I review project obligations efficiently if my data relies on structured memory?▼

Yes, you can review project obligations efficiently if your data relies on structured memory. The digest analyzes file structures and metadata within memory to gather data on open and resolved commitments.

Why does my commitment digest show certain tasks as overdue or resolved?▼

Your commitment digest shows tasks as overdue or resolved by collecting information through structured memory scans. It evaluates file metadata to determine the current status of your obligations and signals.

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