abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Cross-check goal branches against resources, obstacles, and timeline; label feasible/stretch/infeasible and propose OR alternatives.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-goal-feasibility --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/assess-goal-feasibilityContext preview
The summary Claude sees to decide when to auto-load this skill.
Cross-check goal branches against resources, obstacles, and timeline; label feasible/stretch/infeasible and propose OR alternatives.
name: assess-goal-feasibility description: "Cross-check goal branches against resources, obstacles, and timeline; label feasible/stretch/infeasible and propose OR alternatives."
Cross-check goal branches against resources, obstacles, and timeline; label each feasible, stretch, or infeasible and propose OR alternatives.
required: [goal_branches, resource_profile, obstacle_register, timeline] optional: [capability_evidence, dependency_graph, alternative_constraints] constraints: [each branch must have explicit resource, obstacle, and deadline checks]
1. Decompose each branch into deliverables, dependencies, and required capabilities. 2. Compare requirements with resources and obstacle severity. 3. Test schedule against dependencies and deadline; assign feasible/stretch/infeasible. 4. For infeasible branches, construct OR alternatives that relax a declared constraint.
If the goal is feasible and its remaining tradeoffs are resolved, consider `crystallize-north-star` as the next tactic.
produces: [feasibility_matrix, blocking_obstacles, alternative_branches, timeline_rationale] delta_fields: [findings, decisions, open_questions, recommended_jumps]
Caller supplies branch schema, resource dimensions, obstacle scale, timeline units, feasibility labels, and OR-generation policy.
Do not label a branch feasible when an unbounded dependency or missing capability is unexamined.
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.