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repository-technical-analysis

Investigate repository technical issues through evidence-based root-cause analysis and structured debugging workflows.

1|1|Updated Mar 26, 2026
Search Tags:#debugging#root cause#test failures#code investigation#repository analysis#regression triage
One-click install
npx skills add https://github.com/robertolopezlopez/agent-skills --skill repository-technical-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: repository-technical-analysis
Source: https://github.com/robertolopezlopez/agent-skills/tree/main/skills/core/repository-technical-analysis
Command: npx skills add https://github.com/robertolopezlopez/agent-skills --skill repository-technical-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers investigate complex repository issues by replacing guesswork with evidence-first analysis, targeted reproduction, and documented root-cause findings.

Core Features & Use Cases

  • Root-Cause Investigation: Analyze bugs, test failures, regressions, incidents, and performance problems through structured evidence collection.
  • Repository Inspection Workflow: Guide architecture reviews, code searches, validation steps, and technical recommendations across codebases.
  • Use Case: When a production regression appears after a change, use this Skill to trace the failure surface, validate hypotheses, and produce a concise technical analysis artifact.

Quick Start

Use the repository-technical-analysis skill to investigate the root cause of the failing tests in this repository and document the findings.

Frequently Asked Questions about repository-technical-analysis

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

FAQPage Schema
How do I find the root cause of test failures in my repository?▼

Root cause analysis for test failures requires systematic code search to trace the failure surface, targeted reproduction to validate hypotheses, and artifact-based documentation to record technical findings and recommendations.

What is the best way to investigate a production regression after a codebase change?▼

Investigating a production regression requires structured regression triage applying evidence-first analysis, validating hypotheses against recent changes to produce a concise technical analysis artifact.

How do I perform an architecture inspection and code search for technical issues?▼

Architecture inspection and code search for technical issues involve a structured repository inspection workflow guiding targeted validation steps and producing documented technical recommendations across the codebase.

Can I use evidence-based debugging workflows for performance analysis and incident investigation?▼

Evidence-based debugging workflows apply to performance analysis and incident investigation by replacing guesswork with systematic evidence collection, targeted reproduction, and documented root-cause findings.

When should I use a structured repository analysis workflow instead of manual debugging?▼

Use a structured repository analysis workflow instead of manual debugging when facing complex bugs, incidents, or regressions requiring systematic code search, hypothesis validation, and artifact-based documentation.

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