Updated 1mo ago
by Leonxlnx
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.
3.9k GitHub stars (3,949)
+178 in 16 days
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| Oct 1 | +8 |
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- 1 skill (1 skills found in its SKILL.md files)
- 300 forks (300 forks)
- 1mo ago last update (Last updated 1mo ago)
Install
Skills CLI
npx skills add Leonxlnx/unlazy
Asks which agents to install it for. Add -g to install it for every project.
Claude Code
git clone https://github.com/Leonxlnx/unlazycp -r "unlazy" ~/.claude/skills/unlazy
Copies the unlazy skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project).
Plugin
/plugin marketplace add Leonxlnx/unlazy
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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unlazy
Enforces completion discipline for substantial autonomous work by writing acceptance gates before execution, decomposing work with the Depth Tree, running approved checks, and re-verifying evidence before reporting. Use when an agent faces a long or multi-part task, work that has returned half-done, an exhaustive audit or build, parallel leaves or pipelines, or explicit triggers such as /unlazy,…
SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.