Unlazy Agent Skill
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.
Unlazy is an open-source agent skill by Leonxlnx, written mainly in JavaScript, with 4,227 GitHub stars and the MIT license. Its code was last updated Sep 3, 2026.
Unlazy alternatives
View more →Similar agent skills in Productivity & Workflow, ranked by GitHub stars. Compare licence, recent activity and scan status before you choose.
| Name | Stars | Licence | Last updated | Scan |
|---|---|---|---|---|
| Unlazy (this page) Leonxlnx | 4.2k | MIT | Sep 3, 2026 | Scanned, no flagged issues |
| Eigent eigent-ai | 16k | Apache-2.0 | Nov 1, 2026 | Scanned, no flagged issues |
| Kami tw93 | 12k | MIT | Nov 1, 2026 | Scanned, no flagged issues |
| Skill anbeime | 9k | None found | Nov 1, 2026 | Not scanned yet |
| Refly refly-ai | 7.5k | None found | Oct 21, 2026 | Not scanned yet |
| N8n Skills czlonkowski | 6.6k | MIT | Oct 24, 2026 | Scanned, no flagged issues |