ai-research

IgorWarzocha's avatarfrom IgorWarzocha

Automates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.

⭐2stars🔀1forks📁View on GitHub🕐Updated Jan 2, 2026
[Web Research]

When & Why to Use This Skill

The AI Research skill automates the complex process of gathering, analyzing, and synthesizing the latest developments in artificial intelligence. It streamlines technology research by tracking new models, industry news, and emerging tools, delivering structured briefings that empower users to stay informed and competitive in the AI-driven job market.

Use Cases

  • Automated Daily Briefings: Generate regular updates on the latest AI research papers, model architectures, and breakthrough technologies to stay ahead of the curve.
  • Career Development & Job Search: Identify emerging AI trends and high-demand technical skills to align professional profiles and applications with current industry requirements.
  • Market Intelligence: Monitor the AI ecosystem for industry shifts, including funding rounds, acquisitions, and new platform features, to maintain a strategic competitive advantage.
  • Knowledge Base Maintenance: Automatically update internal documentation, candidate profiles, and style guides with the latest AI terminology and industry best practices.
nameai-research
descriptionAutomates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.

AI Research and Intelligence

Step 1: Define Research Scope

  1. Determine parameters from the user request:
    • Topic Scope: AI models, tools, platforms, trends.
    • Time Horizon: Last 24 hours, 7 days, 30 days.
    • Depth: Quick overview vs. deep analysis.

Step 2: Data Collection

  1. Systematically gather information:
    • Models & Research: New architectures, papers, breakthroughs.
    • Tools & Platforms: Software updates, new features.
    • Industry News: Funding, acquisitions, launches.
    • Community: Hot topics, debates, insights.

Step 3: Analysis and Synthesis

  1. Identify key insights:

    • What is truly relevant for the Candidate?
    • Which trends impact the job search?
    • Which skills are becoming more valuable?

  2. Assess relevance:

    • High Impact: Direct impact on career.
    • Medium Impact: Trends worth knowing.
    • Low Impact: Interesting but non-essential.

Step 4: Briefing Creation

  1. Create a structured briefing using the template in references/templates.md.
  2. Save to: /04-Application-Tools/AI-Workflows/YYYY-MM-DD-AI-Briefing.md.

Step 5: System Integration

  1. Update related files:
    • Add insights to Candidate-Profile.md (if relevant).
    • Update style guides with new terminology.
    • Connect with active leads and applications.