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slide-gen-research

Research
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Autonomous web research for presentation topics using Claude Agent SDK. Conducts multi-step research, extracts insights, and manages citations.

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Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/devops/slide-gen-research-davistroy-slide-generator/SKILL.md

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Research Skill

Conducts comprehensive autonomous research on any topic using Claude Agent SDK with web search capabilities.

Capabilities

  • Autonomous Research: Multi-step web search and content extraction
  • Insight Extraction: AI-powered analysis of research sources
  • Citation Management: Automatic source tracking and formatting
  • Multi-Presentation Detection: Identifies when topic should split into multiple presentations

Usage

Via CLI

python -m plugin.cli research "Rochester 2GC Carburetor Rebuild" --output research.json

Via Python

from plugin.skills.research.research_skill import ResearchSkill

skill = ResearchSkill(config)
result = skill.execute({
    "topic": "AI in Healthcare",
    "depth": "comprehensive",
    "max_sources": 20
})

Input Parameters

ParameterTypeRequiredDefaultDescription
topicstringYes-Research topic
depthstringNo"standard"Research depth: "quick", "standard", "comprehensive"
max_sourcesintNo10Maximum sources to gather
audiencestringNo"general"Target audience for content

Output Format

{
  "topic": "string",
  "sources": [
    {
      "url": "string",
      "title": "string",
      "content": "string",
      "relevance_score": 0.95
    }
  ],
  "insights": [
    {
      "key_point": "string",
      "supporting_evidence": ["string"],
      "citations": ["string"]
    }
  ],
  "suggested_presentations": [
    {
      "title": "string",
      "audience": "string",
      "focus": "string"
    }
  ]
}

Dependencies

  • Claude Agent SDK
  • ANTHROPIC_API_KEY environment variable

Examples

Basic Research

python -m plugin.cli research "Machine Learning Basics"

Comprehensive Research with Custom Output

python -m plugin.cli research "Quantum Computing Applications" \
  --depth comprehensive \
  --max-sources 25 \
  --output quantum-research.json

Research for Specific Audience

python -m plugin.cli research "Cloud Architecture" \
  --audience "C-level executives" \
  --depth quick