cog-scenario

Model decision scenarios by generating 2-3 branches with timelines.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/bketelsen/max --skill cog-scenario
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cog-scenario
Source: https://github.com/bketelsen/max/tree/main/skills/cog-scenario
Command: npx skills add https://github.com/bketelsen/max --skill cog-scenario

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill models decision scenarios by identifying forks and generating 2-3 branches with timelines, enabling explicit exploration of futures derived from a single choice.

Core Features & Use Cases

  • Branch identification: detects a decision point and outlines alternative paths with dependencies and timelines.
  • Dependency mapping: traces upstream and downstream memory sources to ensure traceability.
  • Timeline overlay: aligns branches to real calendar events for practical planning.
  • Output generation: writes a memory/scenarios file detailing the decision, branches, and contingencies.

Quick Start

Provide a decision point and have the system generate 2-3 branches with timelines using memory data.

Frequently Asked Questions about cog-scenario

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

FAQPage Schema
How do I model decision scenarios with branching timelines?▼

You can model decision scenarios by identifying a decision fork and generating 2-3 alternative branches with timelines. The system traces upstream memory sources for dependencies and aligns branches to real calendar events for practical planning.

What is branching scenario modeling for decision-making?▼

Branching scenario modeling is the process of exploring alternative futures derived from a single choice. It identifies a decision point and outlines alternative paths with dependencies and timelines to enable explicit exploration of potential outcomes.

Can I use memory data and calendars to map decision dependencies?▼

Yes, dependency mapping traces upstream and downstream memory sources to ensure traceability. A timeline overlay aligns these branches to real calendar events, applying memory data to influence cross-domain decision outcomes.

How do I generate a scenario file for cross-domain decisions?▼

Provide a decision point and the system generates 2-3 branches with timelines using memory data. It outputs a scenario file to memory/cog-meta/scenarios detailing the decision, branches, and contingencies for personal, work, or health contexts.

What is the best way to track decision forks across personal and work contexts?▼

The best way to track decision forks is by generating alternative paths with dependencies and timelines. This approach applies to cross-domain decisions in personal, work, or health contexts where memory data and calendars influence outcomes.

Does scenario modeling work without pre-existing memory sources?▼

Scenario modeling traces upstream and downstream memory sources to ensure traceability and references memory sources for dependency tracking. Providing a decision point allows the system to generate branches, but existing memory data informs the timeline and outcome alignment.