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/map-productive-polarity

Map a persistent two-pole tension where both poles contain value: upsides/downsides of over-focusing each pole, warning signs, and practices that manage the polarity rather than falsely resolving it.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-productive-polarity --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/map-productive-polarity

Context preview

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

Map a persistent two-pole tension where both poles contain value: upsides/downsides of over-focusing each pole, warning signs, and practices that manage the polarity rather than falsely resolving it.

SKILL.md

map-productive-polarity.SKILL.md
name: map-productive-polarity
description: "Map a persistent two-pole tension where both poles contain value: upsides/downsides of over-focusing each pole, warning signs, and practices that manage the polarity rather than falsely resolving it."

map-productive-polarity

Purpose

Map a persistent two-pole tension where both poles contain value and require managed balance.

Input contract

required: [polarity_statement, pole_a, pole_b]
optional: [stakeholder_views, warning_signs, current_practices]
constraints: [each pole must have a valued upside and a harmful overuse pattern]

Procedure

1. State the upside and downside of over-focusing each pole. 2. Identify warning signs that the system has over-corrected toward either pole. 3. Map practices that manage the polarity without falsely resolving it.

If the polarity map reveals a tension sustained by implicit premises, consider `surface-assumptions` as the next tactic.

Output contract

produces: [polarity_map, upside_downside_register, warning_signs, management_practices]
delta_fields: [findings, assumption_updates, uncertainties, decisions]

Quality gates

  • Both poles remain legitimate; management practices are conditional and observable.

Failure and counterexamples

Reject a polarity map that treats one pole as the correct answer or collapses tension into a compromise slogan.

Provenance map

  • `deep-insight/polarity-mapping`: resolved.
  • `tension-mining`: resolved.
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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
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Apache-2.0
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5h ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine