abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-optionality --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/evaluate-optionalityContext preview
The summary Claude sees to decide when to auto-load this skill.
Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions.
name: evaluate-optionality description: "Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions."
Evaluate staging, deferral, reversible commitment, and information-gathering options under uncertainty.
required: [decision_options, uncertainty_register, time_horizon, consequence_model] optional: [irreversibility_costs, information_actions, trigger_conditions] constraints: [each option states timing, reversibility, information gained, and consequence range]
1. Represent immediate, deferred, staged, and information-gathering actions on a common timeline. 2. Estimate each action's reversible value, delay cost, information gain, and downside exposure. 3. Identify trigger conditions that would justify advancing, pausing, or abandoning each staged option. 4. Emit an option-value comparison and the conditions under which deferral is preferable to commitment.
produces: [option_value_table, timing_policy, trigger_conditions, uncertainty_notes] delta_fields: [findings, evidence_updates, uncertainties, decisions, recommended_jumps]
Do not call delay optionality when waiting only postpones an irreversible loss. If trigger conditions are unobservable, mark the option unresolved.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.