commitment-setup

Create a commitments tracking workspace with schema and triage missions.

12.6k|1.5k|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/nearai/ironclaw --skill commitment-setup-nearai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commitment-setup
Source: https://github.com/nearai/ironclaw/tree/main/skills/commitment-setup
Command: npx skills add https://github.com/nearai/ironclaw --skill commitment-setup-nearai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Commitment-setup eliminates the hassle of manually creating and maintaining a consistent system for tracking obligations, decisions, and ideas, so you can reliably capture signals and turn them into actionable commitments.

Core Features & Use Cases

  • Creates the commitments workspace structure: Builds a projects/commitments/ directory layout with schema documentation for open commitments, resolved archives, pending/expired signals, decisions, and parked ideas.
  • Installs automated triage and digest missions: Sets up recurring workflows that expire stale signals, flag overdue commitments, and produce scheduled digests to keep you in the loop.
  • Provides a clear, schema-driven workflow: Establishes standardized frontmatter fields for signals, commitments, decisions, and parked ideas to support consistent parsing and future automation.

Use case example: When you mention an action you need to do (e.g., “I should respond to Alex about the roadmap” or “We must decide by Friday”), this setup ensures those items get structured and routed into the right buckets, with automated triage and scheduled digest summaries.

Quick Start

Run commitment-setup and choose the channel where you want digest updates to be sent.

Frequently Asked Questions about commitment-setup

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

FAQPage Schema
How do I set up automated commitments tracking for obligations and decisions?

Automated commitments tracking is initialized by creating a structured workspace directory with schema documentation for signals, obligations, decisions, and parked ideas, alongside scheduled triage and digest delivery rules. This one-time setup enables subsequent conversations to be routed into managed files.

What is the best way to automate inbox triage for expired signals and overdue commitments?

Automated inbox triage is handled by installing recurring missions that read stored frontmatter to expire stale signals and flag overdue commitments. These scheduled workflows produce digest summaries, keeping you informed of pending obligations without manual checks.

Can I use schema-driven frontmatter to organize parked ideas and open commitments?

Schema-driven frontmatter organizes parked ideas and open commitments by applying standardized fields for signals, decisions, and obligations within a dedicated workspace. This structure supports consistent parsing, enabling automated overdue detection and expiration tracking over time.

How do I schedule recurring digest updates for task tracking and commitment management?

Scheduling recurring digest updates for task tracking involves running a one-time initialization that installs digest delivery missions into your workspace. You choose a delivery channel during setup, and the system automatically sends scheduled summaries of your commitments.

Does commitment setup require manual maintenance after the initial workspace creation?

Commitment setup requires no manual maintenance after the initial workspace creation, as it installs automated triage missions that continuously manage expiration, overdue detection, and digest scheduling based on the established schema rules.

When do I need a dedicated commitments workspace structure for knowledge management?

A dedicated commitments workspace structure is needed when you want to reliably capture conversational signals and turn them into actionable obligations. It provides standardized buckets for resolved archives, pending signals, and parked ideas with automated tracking.