yogsoth-ai/de-anthropocentric-research-engine

appreciative-reframe

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

Vedi sorgente

Come usare

  1. Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
  2. Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
  3. Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill appreciative-reframe

Prima di iniziare

  • L’installazione non include abbonamenti, quote API o accesso ai file.
  • Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

appreciative-reframe

Purpose

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

Input contract

yaml
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

yaml
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.

Correlati per attività

dallo stesso repository

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