investigate

Guide a four-phase investigation to identify root causes of software issues.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/nhattran998/personal-athlete-agent --skill investigate-nhattran998
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/nhattran998/personal-athlete-agent/tree/main/.agents/skills/gstack-investigate
Command: npx skills add https://github.com/nhattran998/personal-athlete-agent --skill investigate-nhattran998

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps engineers systematically identify the root causes of software issues by guiding a structured four-phase investigation.

Core Features & Use Cases

  • Four-phase framework: investigate, analyze, hypothesize, implement; proactive root-cause analysis when issues are reported.
  • Safety-aware workflow: keeps actions within project scope and prevents unsafe operations.
  • Reproducible debugging support: captures symptoms, reproduces steps, and guides evidence collection to accelerate fixes.

Quick Start

Provide a reproducible error report and initiate Step 0 of the root-cause investigation.

Frequently Asked Questions about investigate

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

FAQPage Schema
How do I find the root cause of a software bug or error trace?

To find the root cause of a software bug, you need a systematic investigation framework that captures symptoms, reproduces steps, and collects evidence. This process enforces safety checks and scope boundaries to identify the true source rather than masking symptoms.

What is the best way to debug performance regressions across codebases?

Debugging performance regressions across codebases requires a structured four-phase approach: investigate, analyze, hypothesize, and implement. This method proactively guides evidence collection and hypothesis testing to pinpoint regressions across different environments.

How does a four-phase root-cause analysis work for unexpected software behavior?

A four-phase root-cause analysis works by sequentially investigating symptoms, analyzing collected evidence, forming hypotheses about the issue, and implementing a verified fix. This enforces safety boundaries and a proactive approach to avoid masking underlying problems.

Can I use a systematic debugging workflow for issues without a clear stack trace?

Yes, you can use a systematic debugging workflow for issues without a clear stack trace by proactively capturing symptoms and reproducing steps. The investigation framework guides evidence collection to analyze unexpected behavior even when direct error outputs are absent.

Does root-cause investigation enforce safety checks when modifying codebases?

Yes, root-cause investigation enforces safety checks and scope boundaries when modifying codebases. This safety-aware workflow prevents unsafe operations and ensures that implementation actions remain strictly within the project scope during the debugging process.