How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill appreciative-reframeBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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.
