anti-benchmark
Challenge industry best practices' hidden assumptions. Deconstruct benchmarks to reveal unexamined constraints.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Challenge industry best practices' hidden assumptions. Deconstruct benchmarks to reveal unexamined constraints.
Search for positive deviants and extract transferable principles using Appreciative Inquiry.
Campaign: Compile a context/ research record into an ARA (Agent-Native Research Artifact) and run a Level-2 epistemic review — no LaTeX, no narrative paper
Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods.
Extract and steel-man the core arguments supporting a given opinion cluster.
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
Strategy for synthesizing argument positions — aggregate evidence, resolve contradictions, produce synthesis reports identifying which claims survive scrutiny.
Understand hard boundaries on the user's research — target venues, methodology preferences, areas to avoid, advisor/team requirements. Not limited to ML/AI — works for any research domain.
Surface all assumptions, classify by vulnerability (load-bearing × likely-false), validate causal logic. Focus on dangerous assumptions — high load-bearing + non-explicit.
Challenge each assumption's validity — shared cross-repo SOP