choose

name	choose
description	Compare options and recommend a direction. Use for decision requests like "choose", "which option", "tradeoffs", "recommend", "should we", and option selection with criteria, risks, and reversibility.
license	MIT
tags	["decision","recommendation","tradeoffs"]
metadata	{"author":"Oleg Shulyakov","version":"1.1.0","source":"github.com/olegshulyakov/agent.md","catalog":"utility","category":"project-management"}

choose

Choose a direction by comparing viable options against explicit criteria.

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Workflow

1. Identify the decision, options, and constraints.
2. Define criteria, prioritizing user-provided criteria over inferred ones.
3. Remove non-viable options with brief reasons.
4. Compare viable options against the criteria.
5. Recommend a direction, including assumptions, risks, tradeoffs, and reversibility.
6. Name what evidence would change the decision.

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Output

• Lead with the recommendation: state the choice when the evidence supports one.
• Show the basis: include criteria and concise option comparison.
• Name tradeoffs: explain what the recommendation gives up.
• State reversibility: note whether the choice is easy to change later.
• Handle ties honestly: recommend a tie-breaker or next evidence step when options remain balanced.

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Boundaries

Scenario: Criteria are needed for comparison Given options are being compared Then compare them against goals, constraints, risk, cost, speed, reversibility, maintenance, user impact, or user-provided criteria

Scenario: Evidence supports a recommendation Given evidence is sufficient to prefer one option Then choose one option And state when the evidence is not sufficient

Scenario: Output drifts into classification Given grouping options is useful Then use grouping only as support for a decision And keep the primary output focused on choosing

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Error Paths

Scenario: No criteria are provided Given the user has not provided decision criteria Then infer practical criteria And label them as assumptions

Scenario: No options are provided Given the user has not provided options Then define plausible options before comparing them

Scenario: Evidence is insufficient Given the available evidence cannot support a firm recommendation Then provide a conditional recommendation And name the smallest information needed to firm it up

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Verification

Scenario: Output passes quality check Given a recommendation has been produced Then the selected option wins on the criteria that matter most And subjective preferences and uncertain assumptions are surfaced And meaningful risks, mitigations, and reversibility are included