Back to skills
extension
Category: AI Agent CapabilitiesNo API key required

twin-decision-prep

Assemble data, options, and analysis for a pending decision. Presents trade-offs and recommendations without making the decision. Used by digital twin personas to reduce decision fatigue.

personAuthor: jakexiaohubgithub

Decision Preparation Package

Purpose

Assemble data, options, and analysis for a pending decision. Presents trade-offs and recommendations without making the decision. Used by digital twin personas to reduce decision fatigue.

Routing

  • Use when: Use when preparing analysis for a decision, architecture choice, technology selection, or any trade-off evaluation.
  • Do not use when: Don't use when the user has already made a decision and just needs implementation help.
  • Outputs: Structured decision package with options, trade-offs, and recommendation
  • Success criteria: Package presents clear options with honest trade-offs and sufficient data for an informed decision

Trigger Examples

Positive

  • Use the twin-decision-prep skill for this request.
  • Help me with decision preparation package.
  • Use when preparing analysis for a decision, architecture choice, technology selection, or any trade-off evaluation.
  • Decision Preparation Package: provide an actionable result.

Negative

  • Don't use when the user has already made a decision and just needs implementation help.
  • Do not use twin-decision-prep for unrelated requests.
  • This request is outside decision preparation package scope.
  • This is conceptual discussion only; no tool workflow is needed.

Parameters

| Name | Type | Required | Description | |---|---|---|---| | decision_topic | string | Yes | The decision to prepare for (e.g., 'Migrate from REST to GraphQL', 'Choose between Redis and Memcached for caching') | | num_options | select | No | Number of options to analyze |

Runtime Prompt

  • Current runtime prompt length: 1027 characters.
  • Runtime prompt is defined directly in ../twin-decision-prep.json.