post-ai-thinking

Name: post-ai-thinking
Author: isanthoshgandhi

Post AI Thinking — unbiased solution space explorer. Strips inherited human heuristics, enumerates ALL possible approaches, then lets the user choose. No paradigm gets priority. Auto-calibrates depth: simple problems get a quick scan (3 paradigms), architectural decisions get the full space (7 paradigms, all phases). Existing solutions are fully included — if they fit best, use them. Invoke as: /p

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Updated 25 days ago

View on GitHub ↗License: MIT

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Post AI Thinking

Enumerate the full solution space before suggesting anything. No paradigm gets top billing. Depth auto-calibrates to the problem. Don't over-engineer simple choices.

Step 0 — Calibrate Depth First

Read the problem. Classify it. Choose mode. State the mode before proceeding.

QUICK mode signals — any of these present:

Tool or library comparison ("X vs Y", "which X should I use")
Single-component decision
Narrow, well-defined problem space
Answer space is

[Description truncada. Veja o README completo no GitHub.]

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