horizon-scan

Scan external sources for Generative AI developments and record updates.

46|5|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/victoriacity/openakari --skill horizon-scan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: horizon-scan
Source: https://github.com/victoriacity/openakari/tree/main/.claude/skills/horizon-scan
Command: npx skills add https://github.com/victoriacity/openakari --skill horizon-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of staying informed about the rapidly evolving landscape of Generative AI, ensuring that research projects and AI systems remain up-to-date with the latest advancements without manual intervention.

Core Features & Use Cases

  • Proactive Monitoring: Continuously scans for new model releases, capability changes, and relevant research papers.
  • Focused Scans: Allows for targeted searches within specific domains like "3D generation models" or "LLM judge evaluation."
  • Actionable Insights: Identifies and records critical updates, creating tasks for evaluation and updating project documentation.
  • Use Case: An AI research team can use this skill to automatically track new LLM benchmarks and research papers relevant to their current projects, ensuring they are always leveraging the most performant and relevant models and techniques.

Quick Start

Use the horizon-scan skill to scan for new GenAI developments relevant to active projects.

Frequently Asked Questions about horizon-scan

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

FAQPage Schema
How do I automate tracking new Generative AI model releases and research papers?

To automate tracking new Generative AI model releases, you can use a horizon scanning tool that proactively searches external sources for capability changes and research papers, then records actionable updates in structured reports.

What is horizon scanning in the context of AI literature review?

Horizon scanning for AI literature review is the process of proactively monitoring external sources to identify new model releases, capability changes, and relevant research papers, ensuring research projects remain up-to-date without manual intervention.

How do I scope literature monitoring to specific domains like 3D generation models?

You can scope literature monitoring to specific domains by configuring focused scans that target active projects and open questions, allowing searches within specific areas like 3D generation models or LLM judge evaluation.

Can I automatically generate evaluation tasks from new GenAI research findings?

Yes, you can automatically generate evaluation tasks from new GenAI research findings by verifying web search results and recording critical updates, which creates actionable tasks for evaluation and updates project documentation.

Does this automated GenAI monitoring require web search and file system access?

Yes, automated GenAI monitoring requires web search, web fetch, and file system interaction capabilities to scope searches based on active projects, verify findings through web fetching, and record updates in project artifacts.

What are the limitations of using automated horizon scanning for AI research?

Limitations of automated horizon scanning include its dependency on web search and fetch capabilities to verify findings, meaning it cannot access sources behind authentication paywalls or interact with platforms lacking external web endpoints.