使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill appreciative-reframe开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
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
- Identify cases where the desired behavior already occurs.
- Extract the enabling conditions and strengths present in those cases.
- 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.
