spectra-debug

Enforce a four-phase debugging workflow covering reproduction, isolation, root-cause verification, and test-backed fixing.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/zooroy/appt-system --skill spectra-debug-zooroy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spectra-debug
Source: https://github.com/zooroy/appt-system/tree/main/.agents/skills/spectra-debug
Command: npx skills add https://github.com/zooroy/appt-system --skill spectra-debug-zooroy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves ineffective, trial-and-error debugging by enforcing a structured workflow that turns uncertainty into reproducible evidence and validated fixes.

Core Features & Use Cases

  • Reproduce first to capture exact expected vs actual behavior before changing anything.
  • Isolate with targeted investigation using boundaries, logging, and regression tools like git bisect.
  • Validate root cause with predictive theory and a test case that proves correctness before any fix is accepted.
  • Fix with safety constraints by writing a failing test and making the minimum change that resolves the underlying issue.

Use Case: When a bug appears after an upgrade and you keep changing the wrong things, this skill guides you to reproduce reliably, locate the divergence, confirm the violated assumption, and implement a test-backed minimal fix.

Quick Start

Run spectra-debug with a clear description of the bug, such as the steps to trigger it and what you expected versus what actually happens.

Frequently Asked Questions about spectra-debug

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

FAQPage Schema
How do I systematically debug a regression after a software upgrade instead of guessing?

To debug a regression after a software upgrade without guesswork, use a structured workflow that reproduces the exact expected versus actual behavior, isolates the divergence using boundaries or git bisect, and validates the root cause before applying a test-backed minimal fix.

What is the best way to find a runtime failure root cause using evidence?

Finding a runtime failure root cause requires a structured debugging workflow that enforces reproduction, isolation, and root-cause verification through a predictive theory, ensuring the underlying issue is confirmed by a test case before any code changes are accepted.

How do I stop trial-and-error debugging loops when fixing missed events?

To stop trial-and-error debugging loops when fixing missed events, enforce a three-attempt guardrail per hypothesis and require a failing test in the final phase, ensuring you validate the violated assumption with evidence rather than continuously changing the wrong things.

Does test-driven debugging work for isolating runtime failures without dependencies?

Test-driven debugging works for isolating runtime failures without external dependencies by enforcing a four-phase workflow that captures exact behavior, uses targeted investigation with logging, and requires a failing test case to prove correctness before accepting a minimal fix.

What are the limitations of a structured debugging workflow for complex incidents?

The limitations of a structured debugging workflow include strict adherence to a four-phase process and a three-attempt guardrail per hypothesis, which may constrain rapid patching but prevents guesswork loops by requiring a failing test before any fix is accepted.

When do I need to use git bisect for regression analysis during software debugging?

You need to use git bisect for regression analysis during the isolation phase of software debugging when locating a divergence after an upgrade, allowing you to target the specific commit introducing the runtime failure before verifying the root cause.