decision-capture

Detect explicit decisions in conversation and persist them as durable commitment records.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decision Capture prevents important “we decided” moments from being lost by detecting explicit decisions in conversation and persisting them as durable records with rationale, options considered, and later outcome tracking.

Core Features & Use Cases

  • Decision detection with guardrails: Captures explicit commitment language while avoiding hypotheticals, uncertainty, and non-committal preferences.
  • Durable persistence for tracking: Writes a structured decision document into the commitments workspace with metadata for follow-up.
  • Follow-through when obligations arise: Creates an open commitment when the decision implies an obligation or timeline.
  • Searchable intelligence: Writes a lightweight intelligence summary so the decision is discoverable later.

Quick Start

Tell IronClaw to record the decision and include the alternatives and rationale: “We decided to launch the new onboarding flow on July 1 because it reduces drop-off; we considered A vs B and chose A—record this decision.”

Frequently Asked Questions about decision-capture

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

FAQPage Schema
How do I record team decisions and rationale so they aren't forgotten?

Decision capture detects explicit commitments in conversations and persists them as durable records with rationale, alternatives considered, and outcome tracking. This prevents important decisions from being summarized and lost over time.

What is the best way to track commitments and outcomes from team planning sessions?

Commitment tracking in team planning sessions works by detecting decision language, writing a structured decision document into the commitments workspace, and creating open commitments when obligations or timelines are implied.

How does decision detection distinguish actual commitments from hypothetical discussion?

Decision detection applies guardrails that capture explicit commitment language while avoiding hypotheticals, uncertainty, and non-committal preferences. This ensures only firm decisions are persisted as durable records.

Can I capture decisions made during personal planning conversations, not just team sessions?

Yes, decision capture applies to both personal and team planning sessions where decisions must be made traceable over time. It detects explicit decisions regardless of the planning context.

How do I make past decisions searchable and discoverable for future reference?

The skill writes a lightweight intelligence summary alongside the decision document so that decisions become discoverable later. This searchable intelligence records the rationale and alternatives considered for future retrieval.

Does decision capture require any special setup or dependencies to persist records?

Decision capture requires deterministic memory_write ordering to write the decision document first, optionally create follow-on commitments and intel, and confirm only after successful persistence. No additional dependencies are needed.