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research

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

model: sonnet

$ Installer

git clone https://github.com/multicam/qara /tmp/qara && cp -r /tmp/qara/.claude/skills/research ~/.claude/skills/qara

// tip: Run this command in your terminal to install the skill

SKILL.md
View on GitHub →

name: research context: fork model: sonnet description: Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

Research Skill

API Keys Required

This skill works best with these optional API keys configured in ~/.env:

FeatureAPI KeyGet It From
Perplexity ResearchPERPLEXITY_API_KEYhttps://perplexity.ai/settings/api
Gemini ResearchGOOGLE_API_KEYhttps://aistudio.google.com/app/apikey
BrightData ScrapingBRIGHTDATA_API_KEYhttps://brightdata.com

Works without API keys:

  • Claude-based research (uses built-in WebSearch)
  • Basic web fetching (uses built-in WebFetch)
  • Fabric patterns (if Fabric CLI installed)

Workflow Routing

Multi-Source Research Workflows

When user requests comprehensive parallel research: Examples: "do research on X", "research this topic", "find information about Y", "investigate this subject" → READ: ${PAI_DIR}/skills/research/workflows/conduct.md → EXECUTE: Parallel multi-agent research using available researcher agents

When user requests Claude-based research (FREE - no API keys): Examples: "use claude for research", "claude research on X", "use websearch to research Y" → READ: ${PAI_DIR}/skills/research/workflows/claude-research.ts → EXECUTE: Intelligent query decomposition with Claude's WebSearch

When user requests Perplexity research (requires PERPLEXITY_API_KEY): Examples: "use perplexity to research X", "perplexity research on Y" → READ: ${PAI_DIR}/skills/research/workflows/perplexity-research.ts → EXECUTE: Fast web search with query decomposition via Perplexity API

When user requests interview preparation: Examples: "prepare interview questions for X", "interview research on Y" → READ: ${PAI_DIR}/skills/research/workflows/interview-research.md → EXECUTE: Interview prep with diverse question generation

Content Retrieval Workflows

When user indicates difficulty accessing content: Examples: "can't get this content", "site is blocking me", "CAPTCHA blocking" → READ: ${PAI_DIR}/skills/research/workflows/retrieve.md → EXECUTE: Escalation through layers (WebFetch → BrightData → Apify)

When user provides YouTube URL: Examples: "get this youtube video", "extract from youtube URL" → READ: ${PAI_DIR}/skills/research/workflows/youtube-extraction.md → EXECUTE: YouTube content extraction using fabric -y

When user requests web scraping: Examples: "scrape this site", "extract data from this website" → READ: ${PAI_DIR}/skills/research/workflows/web-scraping.md → EXECUTE: Web scraping techniques and tools

Fabric Pattern Processing

When user requests Fabric pattern usage: Examples: "use fabric to X", "create threat model", "summarize with fabric" → READ: ${PAI_DIR}/skills/research/workflows/fabric.md → EXECUTE: Auto-select best pattern from 242+ Fabric patterns

Content Enhancement Workflows

When user requests content enhancement: Examples: "enhance this content", "improve this draft" → READ: ${PAI_DIR}/skills/research/workflows/enhance.md → EXECUTE: Content improvement and refinement

When user requests knowledge extraction: Examples: "extract knowledge from X", "get insights from this" → READ: ${PAI_DIR}/skills/research/workflows/extract-knowledge.md → EXECUTE: Knowledge extraction and synthesis

Multi-Source Research

Three Research Modes

QUICK RESEARCH MODE:

  • User says "quick research" → Launch 1 agent per researcher type
  • Timeout: 2 minutes
  • Best for: Simple queries, straightforward questions

STANDARD RESEARCH MODE (Default):

  • Default for most research requests → Launch 3 agents per researcher type
  • Timeout: 3 minutes
  • Best for: Most research needs, comprehensive coverage

EXTENSIVE RESEARCH MODE:

  • User says "extensive research" → Launch 8 agents per researcher type
  • Timeout: 10 minutes
  • Best for: Deep-dive research, comprehensive reports

Available Research Agents

Check ${PAI_DIR}/agents/ for agents with "researcher" in their name:

  • claude-researcher - Uses Claude's WebSearch (FREE, no API key needed)
  • perplexity-researcher - Uses Perplexity API (requires PERPLEXITY_API_KEY)
  • gemini-researcher - Uses Gemini API (requires GOOGLE_API_KEY)

Speed Benefits

  • ❌ Old approach: Sequential searches → 5-10 minutes
  • ✅ Quick mode: 1 agent per type → 2 minute timeout
  • ✅ Standard mode: 3 agents per type → 3 minute timeout
  • ✅ Extensive mode: 8 agents per type → 10 minute timeout

Intelligent Content Retrieval

Three-Layer Escalation System

Layer 1: Built-in Tools (Try First - FREE)

  • WebFetch - Standard web content fetching
  • WebSearch - Search engine queries
  • When to use: Default for all content retrieval

Layer 2: BrightData (requires BRIGHTDATA_API_KEY)

  • CAPTCHA solving via Scraping Browser
  • Advanced JavaScript rendering
  • When to use: Bot detection blocking, CAPTCHA protection

Layer 3: Apify (requires Apify account)

  • Specialized site scrapers (Instagram, LinkedIn, etc.)
  • Complex extraction logic
  • When to use: Layers 1 and 2 both failed

Critical Rules:

  • Always try simplest approach first (Layer 1)
  • Escalate only when previous layer fails
  • Document which layers were used and why

Fabric Pattern Selection

Categories (242+ Patterns)

Threat Modeling & Security:

  • create_threat_model, create_stride_threat_model
  • analyze_threat_report, analyze_incident

Summarization:

  • summarize, create_5_sentence_summary
  • summarize_meeting, summarize_paper, youtube_summary

Wisdom Extraction:

  • extract_wisdom, extract_article_wisdom
  • extract_insights, extract_main_idea

Analysis:

  • analyze_claims, analyze_code, analyze_debate
  • analyze_logs, analyze_paper

Content Creation:

  • create_prd, create_design_document
  • create_mermaid_visualization, create_user_story

Improvement:

  • improve_writing, improve_prompt, review_code

Usage

# Auto-select pattern based on intent
fabric [input] -p [selected_pattern]

# From URL
fabric -u "URL" -p [pattern]

# From YouTube
fabric -y "YOUTUBE_URL" -p [pattern]

File Organization

Working Directory (Scratchpad)

${PAI_DIR}/scratchpad/YYYY-MM-DD-HHMMSS_research-[topic]/
├── raw-outputs/
├── synthesis-notes.md
└── draft-report.md

Permanent Storage (History)

${PAI_DIR}/history/research/YYYY-MM/YYYY-MM-DD_[topic]/
├── README.md
├── research-report.md
└── metadata.json

Key Principles

  1. Parallel execution - Launch multiple agents simultaneously
  2. Hard timeouts - Don't wait indefinitely, proceed with partial results
  3. Simplest first - Always try free tools before paid services
  4. Auto-routing - Skill analyzes intent and activates appropriate workflow

WebSearch Tool Usage

Built-in Web Search (FREE)

Claude Code includes a built-in WebSearch tool for real-time web queries.

When to Use:

  • Current events and recent information
  • Documentation and API references
  • Pricing, availability, status checks
  • Fact verification beyond training data

Best Practices:

// Include year for recent info
WebSearch({ query: "Next.js 15 features 2024" })

// Be specific
WebSearch({ query: "TypeScript 5.4 satisfies operator examples" })

// Use domain filtering for trusted sources
WebSearch({
  query: "React hooks best practices",
  allowed_domains: ["react.dev", "kentcdodds.com"]
})

Query Optimization:

  • Include year: "React Server Components 2024"
  • Be specific: "Bun vs Node.js benchmark comparison"
  • Use domain filters: Focus on official docs or trusted sources

Source Citation: Always cite sources in research output:

## Sources
- [React Documentation](https://react.dev/...)
- [Official Blog Post](https://...)

WebSearch vs WebFetch

NeedTool
Search for informationWebSearch
Get specific page contentWebFetch
Multiple search resultsWebSearch
Full article extractionWebFetch

Integration with Research Workflows

WebSearch is the foundation of claude-researcher agent:

  1. Query decomposition into sub-queries
  2. Parallel WebSearch calls
  3. Result synthesis
  4. Source attribution

Workflow Files

WorkflowFileAPI Keys Needed
Multi-Source Researchworkflows/conduct.mdVaries by agent
Claude Researchworkflows/claude-research.mdNone (FREE)
Perplexity Researchworkflows/perplexity-research.mdPERPLEXITY_API_KEY
Interview Prepworkflows/interview-research.mdNone
Content Retrievalworkflows/retrieve.mdOptional: BRIGHTDATA_API_KEY
YouTube Extractionworkflows/youtube-extraction.mdNone (uses Fabric)
Web Scrapingworkflows/web-scraping.mdOptional: BRIGHTDATA_API_KEY
Fabric Patternsworkflows/fabric.mdNone
Content Enhancementworkflows/enhance.mdNone
Knowledge Extractionworkflows/extract-knowledge.mdNone

Repository

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