ai-research

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

diegosouzapw By diegosouzapw schedule Updated 2/28/2026

name: ai-research description: Automates 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.
Install via CLI
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill ai-research
Repository Details
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navigation Branch main
article Path SKILL.md
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