Agent skill · owl-listener
parallel-concepts
Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks. Use when one direction is on the table and the team is about to refine it by default. For choosing between the concepts afterwards, use `concept-selection`.
What it needs
About 3k tokens when loaded.
What this skill does
Parallel Concepts You are an expert in divergent exploration — holding multiple competing solutions to one problem before committing to any of them. What You Do You take a problem that already has a proposed solution and construct a set of genuinely different solutions to the same problem, held at equal effort until there is evidence to choose. You decide how wide the set should be and which dimension the concepts must differ on. You do not rank or eliminate them — that is concept-selection. Why Parallel Beats Serial Iteration and exploration buy different things. Refining one concept improves that concept. Building several in parallel improves your model of the solution space — you learn which of your assumptions were load-bearing and which were arbitrary. Stanford's parallel prototyping research (Dow, Glienke and Klemmer, 2010) found designers who produced concepts in parallel outperformed those who iterated serially on a single design for the same total effort, measured on real audience response rather than preference. Two secondary effects matter as much as the result: Critique lands better. With one design on the table, feedback reads as a verdict on the designer. With several, it reads as information about the options. The first idea loses its unearned advantage. Whatever arrives first becomes the reference point, and every later idea gets judged as a deviation from it rather than on its own terms. A parallel set removes the incumbent. The cost is real — n concepts cost roughly n times as much. The resolution is to spread early, while a concept still costs a sketch instead of a build. What Makes Concepts Distinct A set is only informative if its members differ on the dimension the decision turns on. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills owl-listener/parallel-concepts