unlazy — tool profile and history

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.

Active

Canonical source ↗

Language
JavaScript
License
MIT
Created
Last activity
Topics
  • ai-agents
  • claude
  • claude-code
  • llm
  • productivity
  • prompt-engineering
  • skill

Install git clone https://github.com/Leonxlnx/unlazy ~/.claude/skills/unlazy

Current measurement

2 905GitHub stars+478 (+19.7 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
DateValueMetric
2 905GitHub stars
2 834GitHub stars
2 783GitHub stars
2 739GitHub stars
2 660GitHub stars
2 576GitHub stars
2 427GitHub stars
2 259GitHub stars

Classifications

Domains
Type
Agent skills
Use cases

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