Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
When a single prompt fails to produce a satisfactory result, this skill orchestrates a bracket-style competition among multiple sub-agents. Each agent is assigned the same task but utilizes a different reasoning mode, workflow, or strategy to approach the problem.
The agents engage in a process of attacking and defending their solutions, revising their work based on critiques, and facing a judge who scores matches against a written rubric until only one surviving solution remains.
WHO IT'S FOR
AI agent / automation builders
optimizing complex prompt strategies through competition
Claude Code power users
resolving persistent hallucinations or poor outputs
Prompt engineers
benchmarking agentic workflows and reasoning modes
Technical leads / architects
generating high-confidence solutions for critical tasks
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.