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Automation
Skill

/formulate-top-goal

Formalize a research goal as an outcome, desired effect, and explicit constraints.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-top-goal --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/formulate-top-goal

Context preview

The summary Claude sees to decide when to auto-load this skill.

Formalize a research goal as an outcome, desired effect, and explicit constraints.

SKILL.md

formulate-top-goal.SKILL.md
name: formulate-top-goal
description: "Formalize a research goal as an outcome, desired effect, and explicit constraints."

formulate-top-goal

Purpose

Formalize a research goal as an outcome, desired effect, and explicit constraints.

Input contract

required: [research_intent]
optional: [actor_profile, constraints, evidence_context]
constraints: [goal wording must identify an observable outcome and relevant boundary conditions]

Procedure

1. State the outcome that should change and the desired direction of change. 2. Identify scope, actors, resources, time, and non-negotiable constraints. 3. Separate goal content from proposed methods and assumptions. 4. Emit a testable top-goal statement with unresolved choices.

If the top goal has explicit success conditions but remains too broad to execute, consider `decompose-and-or-goal` as the next tactic.

Output contract

produces: [top_goal, desired_effect, constraint_set, goal_assumptions, open_goal_questions]
delta_fields: [findings, hypothesis_updates, assumption_updates, decisions, uncertainties, open_questions]

Quality gates

  • Outcome and desired direction are observable.
  • Constraints are not hidden in method wording.

Failure and counterexamples

Do not accept "understand the topic" as a top goal without an outcome or decision target.

Provenance map

  • `resolved: formulate-top-goal`
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
5h ago
Last commit
7mo ago
Created

Repo: yogsoth-ai/de-anthropocentric-research-engine