root-cause-tracing

Trace errors from symptoms back to original triggers across stack traces and logs.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/bouwerp/agentic-framework --skill root-cause-tracing-bouwerp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/bouwerp/agentic-framework/tree/main/skills/root-cause-tracing
Command: npx skills add https://github.com/bouwerp/agentic-framework --skill root-cause-tracing-bouwerp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trace errors and unexpected behaviour from symptom back to the original trigger, across stack traces, logs, async boundaries, and data flow.

Core Features & Use Cases

  • End-to-end root-cause tracing across code, services, and data boundaries.
  • Systematic workflow: capture failure, classify site, walk causal chain, stop at the first broken invariant, verify fixes.
  • Applicable to deep failures, flaky tests, and incidents where downstream symptoms mask upstream causes.

Quick Start

Trace the root cause of a failure by starting from the deepest stack trace and walking back to the original trigger.

Frequently Asked Questions about root-cause-tracing

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

FAQPage Schema
How do I trace an error back to its root cause across async boundaries?

To trace root cause across async boundaries, systematically walk the causal chain backward from the deepest stack trace through logs and data flow until you reach the original trigger, stopping at the first broken invariant to reveal the upstream failure.

What is the best way to debug flaky tests where downstream symptoms mask upstream causes?

The best way to debug flaky tests is systematic backward tracing. You capture the failure, classify the site, walk the causal chain backward through data flow, and stop at the first broken invariant to expose the original trigger hiding behind the downstream symptom.

How do I systematically troubleshoot incidents across different services and stack traces?

Systematic incident troubleshooting involves capturing the failure, classifying the site, and walking the causal chain backward across services and stack traces. You verify fixes by identifying the first broken invariant that triggered the downstream unexpected behavior.

Can I use this root-cause tracing approach for any programming language or framework?

Yes, this root-cause tracing approach is applicable across any language or framework. It relies on structured guidance for systematic failure capture, causal classification, backward tracing, and invariant verification rather than relying on language-specific debugging tooling.

Why should I stop tracing at the first broken invariant when debugging?

You stop tracing at the first broken invariant because it marks the exact point where the system state first deviated from expected behavior. This identifies the original trigger accurately, preventing wasted effort fixing downstream symptoms that merely mask the upstream cause.