← Coding agents & IDE assistants
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.
Ranked by AgentPick Score, our data score from public GitHub activity. Description is the project's own.
Topics: ai-agents, claude, claude-code, llm, productivity, prompt-engineering, skill
Starter prompt
Using unlazy, in a throwaway branch: add a unit test for [function] covering [edge case]. Don't change production code. Show me the diff and the test output.
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