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Automation
Skill

/generate-provocation

Generate a deliberate pattern-breaking perturbation: PO, reversal, negation, random stimulus, exaggeration, or distortion.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-provocation --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/generate-provocation

Context preview

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

Generate a deliberate pattern-breaking perturbation: PO, reversal, negation, random stimulus, exaggeration, or distortion.

SKILL.md

generate-provocation.SKILL.md
name: generate-provocation
description: "Generate a deliberate pattern-breaking perturbation: PO, reversal, negation, random stimulus, exaggeration, or distortion."

generate-provocation

Purpose

Generate a deliberate pattern-breaking perturbation that opens alternative reasoning paths.

Input contract

required: [target_pattern, provocation_mode, boundary_conditions]
optional: [random_stimulus_pool, intensity, safety_constraints]
constraints: [provocation must be traceable to the target pattern]

Procedure

1. Describe the dominant pattern and its protected assumptions. 2. Apply the selected mode: PO, reversal, negation, random stimulus, exaggeration, or distortion. 3. Record the altered elements and generated questions. 4. Return candidate directions without premature selection.

Output contract

produces: [provocations, altered_assumptions, generated_questions, candidate_directions]
delta_fields: [findings, hypothesis_updates, open_questions]

Quality gates

  • Mode and intensity are recorded for each provocation.
  • At least one altered assumption and one testable question accompany every item.
  • Provocations remain within declared safety and scope boundaries.

Parameterization

Caller supplies target schema, provocation modes, intensity scale, stimulus pool, and boundary constraints.

Failure and counterexamples

Reject random outputs with no relation to the target or ideas presented as validated conclusions.

Provenance map

  • concept: creative-ideation/po-provocation
  • concept: deep-insight/provocation-generation
  • concept: creative-ideation/random-word-stimulus
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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
Language
Apache-2.0
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7h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine