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/assess-goal-feasibility

Cross-check goal branches against resources, obstacles, and timeline; label feasible/stretch/infeasible and propose OR alternatives.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-goal-feasibility --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/assess-goal-feasibility

Context 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.

SKILL.md

assess-goal-feasibility.SKILL.md
name: assess-goal-feasibility
description: "Cross-check goal branches against resources, obstacles, and timeline; label feasible/stretch/infeasible and propose OR alternatives."

assess-goal-feasibility

Purpose

Cross-check goal branches against resources, obstacles, and timeline; label each feasible, stretch, or infeasible and propose OR alternatives.

Input contract

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]

Procedure

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.

Output contract

produces: [feasibility_matrix, blocking_obstacles, alternative_branches, timeline_rationale]
delta_fields: [findings, decisions, open_questions, recommended_jumps]

Quality gates

  • Every branch receives all three labels checks: resource, obstacle, timeline.
  • Infeasible labels identify a blocking condition and evidence.
  • Each OR alternative states the relaxed constraint and residual risk.

Parameterization

Caller supplies branch schema, resource dimensions, obstacle scale, timeline units, feasibility labels, and OR-generation policy.

Failure and counterexamples

Do not label a branch feasible when an unbounded dependency or missing capability is unexamined.

Provenance map

  • resolved: feasibility-check
Read more
Ships withde-anthropocentric-research-engine

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.

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Python
Language
Apache-2.0
License
2h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine