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claude-code

Claude-skill-registry ai-research

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

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/ai-research" ~/.claude/skills/majiayu000-claude-skill-registry-ai-research && rm -rf "$T"
manifest: skills/data/ai-research/SKILL.md
source content

AI Research and Intelligence

<workflow>

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.
</workflow>