suggest

Analyze code and documentation to identify actionable improvements.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/idealic-ai/engine --skill suggest-idealic-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: suggest
Source: https://github.com/idealic-ai/engine/tree/main/skills/suggest
Command: npx skills add https://github.com/idealic-ai/engine --skill suggest-idealic-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Analyzes code and documentation to surface actionable improvements, helping teams raise quality and reduce friction during reviews.

Core Features & Use Cases

  • Automated improvement discovery: identifies gaps in documentation, testing, and architecture.
  • Structured feedback: provides prioritized, actionable suggestions ready for implementation.
  • Use Case: When evaluating a codebase or design, the skill outputs a concise plan of improvement opportunities with context.

Quick Start

Scan the current project to surface actionable improvements for code and documentation.

Frequently Asked Questions about suggest

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

FAQPage Schema
How do I find actionable improvements during a code review?

Code review improvement identifies gaps in documentation, testing, and architecture to provide structured, prioritized feedback. It outputs a concise plan of improvement opportunities ready for implementation across small to medium projects.

What is the best way to analyze documentation gaps in a codebase?

Documentation gap analysis scans the current project to identify missing or inadequate documentation and testing coverage. It provides a concise plan of improvement opportunities with context to help teams raise quality and reduce friction during audits.

Can I use automated suggestions for small to medium project audits?

Yes, automated improvement discovery applies to code repositories, docs, and design artefacts across small to medium projects. It identifies gaps in documentation, testing, and architecture to output a concise plan of improvement opportunities.

Do I need to provide architecture diagrams for code analysis to work?

Yes, providing architecture diagrams, latest code snippets, and docs is required to ground recommendations. Clear context from the target project ensures the surfaced improvement opportunities are accurate and actionable.

What context should I load before scanning a project for quality assurance?

Before scanning a project for quality assurance, load the latest code snippets, documentation, and architecture diagrams from the target project. This clear context grounds the analysis and ensures the improvement recommendations are accurate and actionable.