topic

Identify AI/ML topics and generate structured comparisons with phased implementation plans.

24|3|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/Borda/AI-Rig --skill topic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: topic
Source: https://github.com/Borda/AI-Rig/tree/main/plugins/research/skills/topic
Command: npx skills add https://github.com/Borda/AI-Rig --skill topic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly locate and evaluate state-of-the-art AI/ML topics, delivering concise insights and actionable plans tailored to a given codebase.

Core Features & Use Cases

  • Automated literature search and synthesis across multiple sources.
  • Structured comparison reports with method trade-offs, benchmarks, and code availability.
  • Codebase mapping to identify integration points and generate phased implementation plans.
  • Delegation to specialized agents (research:scientist; foundry:solution-architect) for rigorous analysis and plan formation.

Quick Start

Provide a concise literature briefing for a given topic and prepare a phased implementation plan tailored to the current codebase.

Frequently Asked Questions about topic

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

FAQPage Schema
How do I synthesize state-of-the-art AI and ML literature for my research?

To synthesize AI and ML literature, this Skill identifies state-of-the-art topics and generates structured comparison reports detailing method trade-offs, benchmarks, and code availability. It delegates deep analysis to a specialized research scientist agent for rigorous insights.

What is the best way to map SOTA machine learning papers to my existing codebase?

Mapping SOTA papers to your codebase is handled by delegating codebase mapping to a solution architect agent. It identifies specific integration points within your project and produces a phased implementation plan tailored to your current architecture.

How do I generate a comparison of methods and benchmarks for AI research topics?

Generating a comparison of AI methods and benchmarks involves automated literature search across multiple sources. The Skill synthesizes these findings into a structured report highlighting method trade-offs, benchmark results, and code availability.

Can I use this to create a phased implementation plan for machine learning features?

Yes, you can create a phased implementation plan for machine learning features. After synthesizing literature and mapping integration points to your codebase, the Skill outputs a structured, actionable plan for phased integration.

Do I need specialized agents to evaluate AI/ML research topics?

You do need specialized agents to evaluate AI/ML research topics effectively. This Skill delegates deep analysis to a research scientist agent and codebase mapping to a solution architect agent for rigorous evaluation and plan formation.