unlazy
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.
Growth we measured
23 daily star snapshots stored by whatstrending.ai, 2026-08-16 to 2026-09-07. GitHub shows today's number; this is the movement behind it.
- Ranked #1301 by stars among the 2,497 repos we snapshot, using the latest star count we recorded for each.
- Its 7-day pace is faster than 80% of the 1,252 repos where we can currently measure one (#245).
How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 23 snapshots for Leonxlnx/unlazy between 2026-08-16 and 2026-09-07. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.
Add the Trending AI Repo badge to your README
Leonxlnx/unlazy is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.
[](https://whatstrending.ai/repos/Leonxlnx/unlazy)<a href="https://whatstrending.ai/repos/Leonxlnx/unlazy"><img src="https://whatstrending.ai/badge/repo/Leonxlnx/unlazy.svg" alt="Trending AI Repo"></a>We never open issues or pull requests to ask maintainers to add this. How the badge works →