What happens if the proposed fix doesn't work?

The process includes a recursion limit. If three attempts fail to resolve the issue, the skill triggers a shift from symptom-fixing to questioning the fundamental architecture.

How does it handle multi-component system failures?

It adds diagnostic instrumentation at every component boundary (e.g., API to Database) to log entering/exiting data, identifying exactly where the chain of evidence breaks.

Why does this skill forbid immediate code fixes?

Random fixes waste time and often mask underlying issues. This skill enforces the 'Iron Law' of debugging: you must find and prove the root cause before attempting any implementation.

Is this approach slower than traditional debugging?

While it requires more initial investigation, it is significantly faster than 'guess-and-check' methods, resulting in a 95% first-time fix rate and near-zero regression bugs.

Systematic Debugging

Name: Systematic Debugging
Author: Angriff36

byAngriff36

0•

Seguridad y Pruebas

Enforces a disciplined, root-cause-first framework for troubleshooting software bugs and system failures.

The Systematic Debugging skill provides Claude with a rigorous, scientific framework for resolving technical issues by prioritizing root cause identification over quick patches. It guides the AI through a mandatory four-phase process—Investigation, Pattern Analysis, Hypothesis, and Implementation—to ensure that bugs are understood fully before any code changes are proposed. This skill is particularly effective for complex, multi-component systems where data flow tracing and diagnostic instrumentation are required to isolate failures, ultimately reducing 'thrashing' and preventing the introduction of secondary bugs.

Características Principales

01Strict 4-phase debugging workflow: Investigation, Pattern, Hypothesis, and Implementation

020 GitHub stars

03Multi-layer diagnostic instrumentation for complex microservices and CI/CD pipelines

04Integrated Test-Driven Development (TDD) requirements for verified bug resolution

05Architectural safety valve that triggers a design review after three failed fix attempts

06Mandatory root cause verification before proposing any code modifications

Casos de Uso

01Resolving intermittent production bugs in complex enterprise business suites

02Identifying the source of unexpected state changes deep within legacy call stacks

03Troubleshooting silent failures in multi-stage CI/CD or build pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add angriff36/capsule-pro systematic-debugging

For use in Claude.ai and ChatGPT

Características Principales

01Strict 4-phase debugging workflow: Investigation, Pattern, Hypothesis, and Implementation

020 GitHub stars

03Multi-layer diagnostic instrumentation for complex microservices and CI/CD pipelines

04Integrated Test-Driven Development (TDD) requirements for verified bug resolution

05Architectural safety valve that triggers a design review after three failed fix attempts

06Mandatory root cause verification before proposing any code modifications

Casos de Uso

01Resolving intermittent production bugs in complex enterprise business suites

02Identifying the source of unexpected state changes deep within legacy call stacks

03Troubleshooting silent failures in multi-stage CI/CD or build pipelines