Launch a Qualitative Neural Network (QNN) — a layered, multi-epoch brainstorm of agent personas that maps divergent strategies before implementation. Use to unstick sticky debugging (deadlock, race, perf cliff, architecture trap) OR to enrich an artifact with higher-feature / higher-nuance options (metrics, APIs, UX, research features) when the local loop is thin or circling. Triggers: /qnn, /qnn-brainstorm, "qnn explore", "brainstorm ways out", "unstuck", "richer features", "solution space", multi-perspective exploration of a coding or design problem.
How to install qnn?
iblameandrew/open-deepthink/qnn
$npx -y skills add iblameandrew/open-deepthink --skill qnnInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/iblameandrew/open-deepthink" --skill "iblameandrew/open-deepthink/qnn"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/iblameandrew/open-deepthink" that are relevant to the current task. Run `npx skills add "https://github.com/iblameandrew/open-deepthink"` and select the relevant skills, then follow their instructions.
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