abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Reframe a problem around functioning exceptions, existing strengths, positive deviance, and conditions under which desired behavior already occurs.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill appreciative-reframe --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/appreciative-reframeContext 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.
name: appreciative-reframe description: "Reframe a problem around functioning exceptions, existing strengths, positive deviance, and conditions under which desired behavior already occurs."
Reframe a problem around functioning exceptions, strengths, positive deviance, and conditions supporting desired behavior.
required: [problem_statement, functioning_exceptions] optional: [stakeholders, outcome_definition] constraints: [exceptions must be observed cases, not aspirations]
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.
produces: [exception_inventory, enabling_conditions, appreciative_reframe] delta_fields: [findings, hypothesis_updates, decisions]
Reject success stories that are unverified, incomparable, or explained only by selection bias.
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
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