# Leonxlnx/unlazy

<https://repo.masters-masters.com/en/repos/Leonxlnx/unlazy>

[Home](https://repo.masters-masters.com/en) › [Leonxlnx](https://repo.masters-masters.com/en/owners/Leonxlnx) › [unlazy](https://repo.masters-masters.com/en/repos/Leonxlnx/unlazy)

Leonxlnx/unlazy has 4,292 stars on GitHub. Its RepoMasters card: RC tier. Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task…

| Field | Value |
| --- | --- |
| Owner | [Leonxlnx](https://repo.masters-masters.com/en/owners/Leonxlnx) |
| Stars | 4,292 |
| Forks | 338 |
| Language | [JavaScript](https://repo.masters-masters.com/en/languages/javascript) |
| License | MIT |
| Created | 2026 |
| Topics | ai-agents, claude, claude-code, llm, productivity, prompt-engineering, skill |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [Leonxlnx/unlazy](https://github.com/Leonxlnx/unlazy) |

## Repository

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.