depth-skills

# depth-skills

> **Skills that change how AI thinks, not just what steps it follows.**

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
[![Skills: 16](https://img.shields.io/badge/Skills-16-brightgreen.svg)](#skill-reference)
[![Version: 1.1](https://img.shields.io/badge/Version-1.1-orange.svg)](CHANGELOG.md)

An open-source cognitive architecture for AI agents. 16 skills that force language models past surface-level reasoning into genuine depth — not by adding process steps, but by structurally changing how the model searches its knowledge before answering.

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## 🛑 The Problem: Premature Closure

Language models experience **premature closure**. A query arrives, a statistically likely answer forms, and the model outputs it — not because it explored deeply, but because **convergence pressure** rewarded early stopping. 

The deeper pathways — connections between distant concepts, non-obvious framings, solutions requiring cross-domain synthesis — rarely activate. The model settles at 60-75% activation solely because nothing forces it deeper. 

### Why existing solutions fail to stop this:
| Approach | What It Does | What It Doesn't Do |
|---|---|---|
| **Process libraries** (e.g. Superpowers) | Add workflow/pipeline steps | Change how the AI thinks *within* each step |
| **Tool integrations** (e.g. Playwright, AWS) | Connect to external computational systems | Improve the AI's internal reasoning quality |
| **Depth-skills (This Library)** | **Forces structural cognitive constraint** | Compete with process or tools (they compose perfectly) |

A skill like `deep-think` doesn't just add a review step. It blocks the answer from forming until deeper semantic pathways have been activated. `descend` doesn't merely criticize an answer — it verifies whether the problem was properly identified before any answer was even generated.

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## 📈 The Evidence: Why Cognitive Depth Matters

Internal testing on complex architectural prompts demonstra