trace

Orchestrate competing tracer hypotheses in Claude team mode to explain observed results.

5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill trace-robinnorberg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trace
Source: https://github.com/RobinNorberg/oh-my-copilot/tree/main/skills/trace
Command: npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill trace-robinnorberg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tracing framework coordinates multiple competing tracer hypotheses to explain observed results, enabling evidence-driven reasoning in Claude's built-in team mode.

Core Features & Use Cases

  • Team-mode orchestration: Spawn multiple tracer lanes to pursue distinct explanations in parallel.
  • Evidence capture & ranking: Gather for/against evidence per hypothesis and rank confidence.
  • Discriminating probes: Propose targeted tests to collapse uncertainty and converge on the root cause.
  • Use Case: Debug ambiguous runtime behavior by comparing alternative causal explanations side-by-side.

Quick Start

Restate the observation and initiate a Claude team-mode trace to generate competing hypotheses and proposed next steps.

Frequently Asked Questions about trace

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to coordinate multiple hypotheses for root cause analysis?

Team-mode tracing works by spawning multiple tracer lanes that pursue distinct explanations simultaneously. It gathers evidence for and against each hypothesis, ranks their confidence levels, and proposes targeted tests to collapse uncertainty.

Does Claude team mode support evidence-driven tracing workflows?

Identify discriminating probes by ranking competing hypotheses based on gathered evidence. The framework proposes targeted tests specifically designed to collapse uncertainty and converge on the true root cause of the observed result.

When should I use team-mode orchestration for debugging instead of standard analysis?

Claude team mode supports evidence-driven tracing by spawning multiple tracer lanes in parallel. Each lane pursues a distinct explanation, captures for and against evidence, and ranks confidence to discriminate between competing causal hypotheses.

How do I rank competing tracer hypotheses based on gathered evidence?

Use parallel hypothesis tracing for ambiguous, causal, evidence-heavy analyses where explanations must be ranked. It excels when standard debugging fails to clearly identify a root cause and competing explanations need side-by-side comparison.