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Lunlazy
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.
Dponytail
Author description: Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Popularity
Repository stars4,263182,745Highest
7-day net stars——
Fork33610,092Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-032026-10-29
Maintenance notesNot verifiedNot verified
Repository created2026-08-092026-06-12
License & use
LicenseMIT · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAgent skill extensionsAgent skill extensions
TypePlugins & extensionsPlugins & extensions
SubcategoryAgent skill packagesAgent skill packages
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJavaScriptJavaScript
About this projectAnti-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.Author description: Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Measured at2026-11-02 19:01 UTC2026-11-02 18:58 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.