Skill UI

A rigorous framework to prevent confident fabrication (hallucination) by treating competence as an evidence boundary. It guides users to classify claims—Grounded, Partial, or Ungrounded—based on verifiable sources. It mandates assessing the cost of wrongness before answering, fetching, or abstaining, ensuring that assertions are always backed by sufficient evidence.

A structured framework based on the Cynefin model to classify problems by their underlying cause-effect domain (Clear, Complicated, Complex, Chaotic). It guides users on selecting the correct response mode and methodology before attempting solutions, preventing failure due to domain mismatch. Useful when unsure how to approach novel or mixed problems.

This framework guides decision-makers to structure their thinking by classifying decisions based on the cost and feasibility of reversal. It emphasizes treating low-cost, reversible choices (two-way doors) quickly, while reserving deep deliberation for high-cost, irreversible commitments (one-way doors). It helps mitigate analysis paralysis and premature over-engineering.

This technique forces rigorous critical evaluation by simulating the construction of the strongest, most faithful opposing argument (the 'steel man'). Instead of accepting weak counterarguments or falling into confirmation bias, the process generates a robust adversarial case. It is essential for high-stakes decision reviews, architectural debates, and major proposal vetting, ensuring that the final decision is based on a comprehensive understanding of all risks and conditions for change.