commitment-triage

Extract obligations and deadlines from conversations into structured commitment signals.

1|Updated May 11, 2026
One-click install
npx skills add https://github.com/zeropoint-foundation/ironclaw --skill commitment-triage-zeropoint-foundation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commitment-triage
Source: https://github.com/zeropoint-foundation/ironclaw/tree/main/skills/commitment-triage
Command: npx skills add https://github.com/zeropoint-foundation/ironclaw --skill commitment-triage-zeropoint-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

People often forget commitments mentioned during conversations and messaging, leading to missed deadlines and lost context. commitment-triage automates recognition of obligations, surfaces actionable signals, and creates durable commitment records in a workspace for reliable follow-up.

Core Features & Use Cases

  • Passive signal detection: silently extract obligations from conversations without interrupting flow.
  • Memory-backed commitment tracking: create, store, and retrieve open commitments and pending signals.
  • Triage workflow: review, promote to open commitments, or park ideas for later.

Quick Start

Prompt the assistant to surface commitments in the current conversation and create pending signals for tracking.

Frequently Asked Questions about commitment-triage

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

FAQPage Schema
How do I extract commitments from chat conversations to track deadlines?

To extract commitments from chat conversations, the system identifies implicit or explicit obligations in real-time chats and messaging, then converts them into structured signals for tracking. It automatically surfaces actionable deadlines without interrupting your conversation flow.

How does conversation triage work for managing task obligations?

Conversation triage works by silently scanning messages to detect obligations and deadlines, creating pending signals that you can review. You promote these pending signals to open commitments or park them for later, ensuring durable records in a defined workspace schema.

Can I use this to track commitments from emails and Slack-like messages?

Yes, you can track commitments from emails and Slack-like messages. The system applies signal detection across these platforms to capture obligations mentioned during conversations, appending them to memory to prevent lost context and missed deadlines.

How do I avoid duplicate commitment signals when processing ongoing conversations?

To avoid duplicate commitment signals, the system uses memory tools to check existing records before appending new ones. This ensures that only unique obligations from conversations are created as pending signals or open commitments in your workspace.

What is the best way to review and organize extracted commitment signals?

The best way to review and organize extracted commitment signals is through a triage workflow. You evaluate pending signals, promote valid obligations to open commitments for immediate tracking, or park ideas for later evaluation.

Do I need memory tools to manage task commitments extracted from conversations?

Yes, you need memory tools to manage task commitments. They are required to check for duplicates, append newly detected signals, and create open commitments in a workspace with a defined schema for reliable follow-up.