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.