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Skill

/appreciative-reframe

Reframe a problem around functioning exceptions, existing strengths, positive deviance, and conditions under which desired behavior already occurs.

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

Context preview

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

Reframe a problem around functioning exceptions, existing strengths, positive deviance, and conditions under which desired behavior already occurs.

SKILL.md

appreciative-reframe.SKILL.md
name: appreciative-reframe
description: "Reframe a problem around functioning exceptions, existing strengths, positive deviance, and conditions under which desired behavior already occurs."

appreciative-reframe

Purpose

Reframe a problem around functioning exceptions, strengths, positive deviance, and conditions supporting desired behavior.

Input contract

required: [problem_statement, functioning_exceptions]
optional: [stakeholders, outcome_definition]
constraints: [exceptions must be observed cases, not aspirations]

Procedure

1. Identify cases where the desired behavior already occurs. 2. Extract the enabling conditions and strengths present in those cases. 3. Rewrite the research question around reproducing or extending those conditions.

Output contract

produces: [exception_inventory, enabling_conditions, appreciative_reframe]
delta_fields: [findings, hypothesis_updates, decisions]

Quality gates

  • Each positive exception has evidence and a condition set; the reframe preserves the target outcome.

Failure and counterexamples

Reject success stories that are unverified, incomparable, or explained only by selection bias.

Provenance map

  • `deep-insight/appreciative-reframing`: resolved.
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
6h ago
Last commit
7mo ago
Created

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