commitment-triage

Detect and organize commitments, deadlines, and follow-ups from conversations.

Updated May 7, 2026
One-click install
npx skills add https://github.com/chtugha/brassclaw --skill commitment-triage-chtugha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commitment-triage
Source: https://github.com/chtugha/brassclaw/tree/main/skills/commitment-triage
Command: npx skills add https://github.com/chtugha/brassclaw --skill commitment-triage-chtugha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires brassclaw_skills::types::ActivationCriteria, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users keep track of their commitments, obligations, and deadlines by detecting and organizing signals from conversations, and managing the associated tasks.

Core Features & Use Cases

  • Signal Detection: Recognizes obligations, deadlines, and follow-ups in real-time conversations.
  • Task Management: Creates and manages tasks based on the detected signals.
  • Triage: Routes signals to appropriate categories (commitment, parked idea, intelligence, dismissed).
  • Use Case: For a busy professional, this Skill can automatically track deadlines, reminders, and commitments mentioned in emails, Slack messages, or during meetings, ensuring nothing falls through the cracks.

Quick Start

Use the 'commitment-triage' skill to automatically track a commitment mentioned in a conversation.

Frequently Asked Questions about commitment-triage

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

FAQPage Schema
How do I automatically track commitments and deadlines mentioned in conversations?

To track commitments automatically, use signal detection to recognize obligations, deadlines, and follow-ups in real-time conversations. This process organizes tracked tasks from your discussions, ensuring nothing falls through the cracks.

What is the best way to triage tasks and parked ideas from meeting notes?

Triage tasks and parked ideas by routing detected signals to appropriate categories like commitment, parked idea, intelligence, or dismissed. This categorization manages tasks by separating actionable obligations from general discussion points.

Can I use natural language processing to detect follow-up signals from emails and Slack messages?

Yes, you can use natural language processing to detect follow-up signals from emails and Slack messages. This mechanism understands obligations mentioned in text, allowing automatic commitment tracking across communication platforms.

Do I need Python libraries to manage tasks and file data for commitment tracking?

Yes, you need Python libraries for file and data management to manage tasks effectively. These dependencies support the backend processing required to organize commitments, route signals, and maintain your task database.

How does signal detection handle deadlines and obligations in real-time conversations?

Signal detection handles deadlines by recognizing obligations in real-time conversations and routing them to appropriate categories. It continuously identifies follow-ups, ensuring every commitment is categorized and managed without manual entry.