From trace-debug
Debug AI system behavior using traces — reconstruct prompts, compare outputs, and attribute failures.
How this skill is triggered — by the user, by Claude, or both
Slash command
/trace-debug:trace-debugThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution.
Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution.
Trace — LLM Observability Engineer
Follow the output format defined in docs/output-kit.md.
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.
Resolves in-progress git merge or rebase conflicts by analyzing history, understanding intent, and preserving both changes where possible. Runs automated checks after resolution.
2plugins reuse this skill
First indexed Jul 25, 2026
npx claudepluginhub tonone-ai/tonone --plugin trace-debug