documenting-solutions

Document resolved technical issues with symptoms, root causes, and prevention guidance.

5|Updated Feb 7, 2026

Search Tags:#problem solving #knowledge management #technical documentation #institutional knowledge #issue documentation

Ready to run

npx skills add https://github.com/mraakashshah/oro --skill documenting-solutions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: documenting-solutions
Source: https://github.com/mraakashshah/oro/tree/main/.claude/skills/documenting-solutions
Command: npx skills add https://github.com/mraakashshah/oro --skill documenting-solutions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill facilitates the documentation of resolved technical issues to serve as searchable institutional knowledge.

Core Features & Use Cases

Issue Documentation: Capture and document non-trivial problems and solutions for future reference.
Context Extraction: Collect relevant details such as symptoms, investigations, and root causes.
Prevention Guidance: Offer strategies to prevent similar issues from recurring.

Quick Start

Document the solution to the 'login failure' issue, including symptoms, root cause, and preventive measures.

Frequently Asked Questions about documenting-solutions

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

FAQPage Schema

How do I document resolved technical issues for institutional knowledge?▼

Documenting resolved technical issues for institutional knowledge requires capturing non-trivial problems, extracting context like symptoms and root causes, and providing prevention guidance to prevent recurrence. This approach creates a searchable record of solutions.

What is the best way to record root causes and prevention guidance for software problems?▼

Recording root causes and prevention guidance involves structured data entry and issue tracking practices to capture symptoms, investigations, and resolutions. This ensures technical documentation remains searchable for future reference.

How does context extraction work when documenting non-trivial technical issues?▼

Context extraction for technical issue documentation collects relevant details such as symptoms, investigations, and root causes. It structures this data to build a comprehensive record of the problem and its resolution.

Can I use this issue documentation approach for any resolved software problem?▼

This issue documentation approach is designed for non-trivial problems rather than simple fixes. It requires structured data entry to effectively capture symptoms, root causes, and prevention strategies for institutional knowledge.

What details do I need to provide when documenting a solution?▼

Documenting a solution requires providing structured data including the issue symptoms, the investigation process, the root cause, and specific prevention guidance to stop the issue from recurring.