research

Synthesize state-of-the-art AI/ML literature into a structured report with a phased implementation plan.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables fast, structured synthesis of SOTA literature for AI/ML topics, producing actionable findings and implementation plans that fit a given codebase.

Core Features & Use Cases

  • Literature synthesis: Identify top papers, summarize methods, and compare approaches.
  • Codebase-aware planning: Map literature recommendations to the current project constraints and context.
  • Phased implementation planning: Deliver a concrete 3- to 5-step plan with tasks and risk notes.

Quick Start

Run the research workflow for your topic to obtain a structured report with recommendations and an implementation plan.

Frequently Asked Questions about research

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

FAQPage Schema
How do I synthesize SOTA AI/ML literature and generate an implementation plan?

To synthesize SOTA AI/ML literature, this Skill identifies top papers, summarizes methods, and maps recommendations into a 3- to 5-step phased implementation plan with risk notes. It delegates deep literature search to the ai-researcher agent and packages a structured report.

Can I generate hypotheses and ablation studies from a literature review?

Generating hypotheses and ablation studies is not supported here; this Skill focuses on identifying methods and producing actionable plans. For deep single-paper analysis or ablation studies, use the ai-researcher agent directly.

How do I map AI/ML research papers to my existing codebase constraints?

To map AI/ML research papers to codebase constraints, this Skill gathers context from your current project and aligns literature recommendations accordingly. It delivers a structured report fitting your specific codebase environment.

What is the best way to compare approaches from SOTA literature for a machine learning project?

The best way to compare SOTA approaches is using this Skill to identify top papers and summarize methods across your topic. It synthesizes findings into actionable recommendations tailored to your codebase.

Does this literature review workflow perform deep single-paper analysis?

This workflow does not perform deep single-paper analysis; it synthesizes the current state-of-the-art to produce an implementation plan. It delegates in-depth literature search to the ai-researcher agent for broader coverage.