What problem does it solve? Product and strategy teams collect honest observations about their company but struggle to turn that raw evidence into a short, actionable list of real strengths and weaknesses. This Skill guides the distillation step of an ideal-customer-profile (ICP) method, converting an observations file into a classified STRENGTHS-WEAKNESSES.md chart. ## Core Features & Use Cases - Evidence-based distillation: Proposes one attribute at a time, each citing its supporting observations (O1, O2, ...), and merges observations pointing at the same underlying truth. - Opposite Test gate: Rejects generic attributes like "great customer service" unless worded specifically enough that a competitor could rationally claim the opposite. - Classification rubric: Classifies each attribute as strength, weakness, both (a flagged strategic choice), or a cut, using market-perception and buy/refuse-for-this-alone criteria. - Use Case: After running an honest-look exercise that produced OBSERVATIONS.md with 30 numbered observations about your product, use this Skill to distill them into 4-8 strengths and a similar count of weaknesses, recorded in STRENGTHS-WEAKNESSES.md for the later keystones step. ## Quick Start Read my OBSERVATIONS.md file and distill the observations into classified strengths and weaknesses, one attribute at a time.
