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Zhongwei Li
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skills/deep-research/assets/cheat-sheets/research-commands.md
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skills/deep-research/assets/cheat-sheets/research-commands.md
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# Research Commands Cheat Sheet
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## Quick Reference Guide
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This cheat sheet provides quick access to common research commands and workflows.
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## 🚀 Quick Start Commands
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### Company Research
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```bash
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# Basic company analysis
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bun scripts/company-analyzer.ts --company "Marriott International" --focus comprehensive
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# Financial-focused research
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bun scripts/company-analyzer.ts --company "Apple Inc" --focus financial
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# Market position analysis
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bun scripts/company-analyzer.ts --company "Microsoft" --focus market-position
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# Foundation research (leadership, mission, values)
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bun scripts/company-analyzer.ts --company "Amazon" --focus foundation
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```
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### Market Research
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```bash
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# Comprehensive market analysis
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bun scripts/web-researcher.ts --query "hotel market trends 2024" --depth comprehensive
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# Quick market overview
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bun scripts/web-researcher.ts --query "SaaS market size" --depth quick
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# Recent market developments
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bun scripts/web-researcher.ts --query "fintech regulations 2024" --depth recent
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# Customer segmentation research
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bun scripts/web-researcher.ts --query "enterprise software customer segments" --depth comprehensive
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```
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### Tool/Software Research
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```bash
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# Tool comparison research
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bun scripts/web-researcher.ts --query "project management tools comparison 2024" --depth comprehensive
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# Technical evaluation
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bun scripts/web-researcher.ts --query "Kubernetes vs Docker Swarm performance" --depth comprehensive
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# Cost analysis research
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bun scripts/web-researcher.ts --query "cloud storage pricing comparison AWS Azure GCP" --depth comprehensive
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```
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## 📊 Report Generation
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### Generate Reports
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```bash
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# Generate executive summary
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bun scripts/report-generator.ts --template executive-summary --input research-data.json --output exec-summary.md
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# Generate comprehensive report
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bun scripts/report-generator.ts --template comprehensive-analysis --input market-data.json --output full-report.md
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# Generate competitive intelligence report
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bun scripts/report-generator.ts --template competitive-intelligence --input competitor-data.json --output competitor-analysis.md
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# Generate HTML report
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bun scripts/report-generator.ts --template market-analysis --input data.json --output report.html --format html
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```
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### List Available Templates
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```bash
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bun scripts/report-generator.ts templates
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```
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## 🔍 Advanced Search Techniques
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### Search Query Construction
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```bash
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# Exact phrase matching
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bun scripts/web-researcher.ts --query "\"artificial intelligence in healthcare\"" --depth comprehensive
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# Exclude terms
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bun scripts/web-researcher.ts --query "cloud computing -AWS -Azure" --depth comprehensive
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# Site-specific search
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bun scripts/web-researcher.ts --query "machine learning site:arxiv.org" --depth comprehensive
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# File type search
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bun scripts/web-researcher.ts --query "market report filetype:pdf" --depth comprehensive
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# Date-specific search
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bun scripts/web-researcher.ts --query "blockchain trends 2024" --depth recent
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```
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### Multi-query Research
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```bash
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# Sequential research with different focus areas
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bun scripts/web-researcher.ts --query "company X market share" --depth comprehensive
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bun scripts/web-researcher.ts --query "company X financial performance" --depth comprehensive
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bun scripts/web-researcher.ts --query "company X recent developments" --depth recent
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bun scripts/web-researcher.ts --query "company X competitors" --depth comprehensive
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```
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## 📋 Research Workflows
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### Complete Company Research Workflow
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```bash
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# Step 1: Foundation research
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bun scripts/company-analyzer.ts --company "Target Company" --focus foundation
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# Step 2: Financial analysis
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bun scripts/company-analyzer.ts --company "Target Company" --focus financial
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# Step 3: Market position
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bun scripts/company-analyzer.ts --company "Target Company" --focus market-position
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# Step 4: Recent developments
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bun scripts/web-researcher.ts --query "Target Company recent news 2024" --depth recent
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# Step 5: Generate report
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bun scripts/report-generator.ts --template comprehensive-analysis --input company-research.json --output target-company-analysis.md
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```
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### Market Entry Research Workflow
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```bash
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# Step 1: Market sizing
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bun scripts/web-researcher.ts --query "[Industry] market size growth 2024" --depth comprehensive
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# Step 2: Competitive landscape
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bun scripts/web-researcher.ts --query "[Industry] major competitors market share" --depth comprehensive
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# Step 3: Regulatory environment
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bun scripts/web-researcher.ts --query "[Industry] regulations compliance 2024" --depth comprehensive
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# Step 4: Customer analysis
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bun scripts/web-researcher.ts --query "[Industry] customer segments needs preferences" --depth comprehensive
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# Step 5: Generate market analysis report
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bun scripts/report-generator.ts --template market-analysis --input market-data.json --output market-entry-analysis.md
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```
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### Tool Evaluation Workflow
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```bash
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# Step 1: Feature comparison
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bun scripts/web-researcher.ts --query "[Tool category] features comparison 2024" --depth comprehensive
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# Step 2: Pricing analysis
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bun scripts/web-researcher.ts --query "[Tool category] pricing licensing comparison" --depth comprehensive
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# Step 3: User reviews
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bun scripts/web-researcher.ts --query "[Specific tool] user reviews ratings" --depth comprehensive
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# Step 4: Technical evaluation
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bun scripts/web-researcher.ts --query "[Tool category] technical specifications performance" --depth comprehensive
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# Step 5: Generate evaluation report
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bun scripts/report-generator.ts --template technical-evaluation --input tool-data.json --output tool-evaluation.md
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```
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## 🎯 Output Formats
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### JSON Format (Default)
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```bash
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bun scripts/web-researcher.ts --query "research topic" --output results.json
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```
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### Markdown Format
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```bash
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bun scripts/web-researcher.ts --query "research topic" --format markdown --output results.md
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```
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### CSV Format
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```bash
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bun scripts/web-researcher.ts --query "research topic" --format csv --output results.csv
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```
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## ⚙️ Configuration Options
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### Research Depth Levels
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- `quick`: Basic overview with limited sources
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- `comprehensive`: Deep analysis with multiple source types
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- `recent`: Focus on very recent developments
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### Maximum Results
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```bash
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bun scripts/web-researcher.ts --query "topic" --max-results 20
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```
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### Source Specification
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```bash
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bun scripts/web-researcher.ts --query "topic" --sources "reuters.com,bloomberg.com,wsj.com"
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```
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## 🔧 Utility Commands
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### Research History
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```bash
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# View recent research sessions
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bun scripts/web-researcher.ts history
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# View last 5 research sessions
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bun scripts/web-researcher.ts history --limit 5
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```
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### Database Management
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```bash
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# The research data is stored in SQLite databases:
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# - research_data.db (web research results)
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# - company_analysis.db (company analysis data)
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# - market_analysis.db (market research data)
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# To access data directly, use sqlite3:
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sqlite3 research_data.db "SELECT * FROM search_results ORDER BY timestamp DESC LIMIT 10;"
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```
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## 📊 Quality Assurance
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### Source Verification
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```bash
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# Run source verification on research results
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bun scripts/source-verifier.ts --sources sources.json --verification-level high
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```
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### Data Cleaning
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```bash
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# Clean and standardize research data
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bun scripts/data-cleaner.ts --input raw-data.json --output clean-data.json
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```
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## 🚨 Common Issues and Solutions
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### Search Engine Rate Limits
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- If you encounter rate limits, add delays between searches
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- Use multiple search engines for better coverage
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- Consider reducing max-results parameter
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### Data Quality Issues
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- Always cross-reference important claims
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- Use multiple source types for verification
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- Prioritize recent and authoritative sources
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### Large Result Sets
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- Use specific search queries to reduce noise
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- Filter by publication date when needed
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- Focus on high-quality source domains
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## 📚 Template Usage Guide
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### Executive Summary Template
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- Use for quick decision-maker overviews
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- Keep to 1-2 pages maximum
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- Focus on key findings and recommendations
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### Comprehensive Analysis Template
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- Use for detailed research documentation
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- Include full methodology and source lists
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- Add appendices for supporting data
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### Competitive Intelligence Template
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- Use for competitor analysis
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- Include market positioning and SWOT analysis
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- Focus on actionable competitive insights
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### Technical Evaluation Template
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- Use for software/tools assessment
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- Include technical specifications and requirements
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- Add integration and migration considerations
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### Market Analysis Template
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- Use for market research and sizing
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- Include segmentation and trend analysis
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- Add opportunity and risk assessment
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---
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_For detailed methodology and framework information, refer to the reference documentation in the /references directory._
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340
skills/deep-research/assets/config/research-sources.json
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340
skills/deep-research/assets/config/research-sources.json
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{
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"source_configurations": {
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"financial_research": {
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"primary_sources": [
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"sec.gov",
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"investor.company.com",
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"finance.yahoo.com",
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"seekingalpha.com",
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"morningstar.com"
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],
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"secondary_sources": ["reuters.com", "bloomberg.com", "wsj.com", "ft.com", "cnbc.com"],
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"search_patterns": [
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"{company} SEC filings 10-K 10-Q",
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"{company} investor relations",
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"{company} quarterly earnings",
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"{company} annual report",
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"{company} stock performance"
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]
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},
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"market_research": {
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"primary_sources": [
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"statista.com",
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"gartner.com",
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"forrester.com",
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"mckinsey.com",
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"ibisworld.com"
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],
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"secondary_sources": [
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"grandviewresearch.com",
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"marketsandmarkets.com",
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"alliedmarketresearch.com",
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"researchandmarkets.com",
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"fortunebusinessinsights.com"
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],
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"search_patterns": [
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"{industry} market size 2024",
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"{industry} market growth forecast",
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"{industry} market trends analysis",
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"{industry} competitive landscape",
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"{industry} market segmentation"
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]
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},
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"technology_research": {
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"primary_sources": [
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"github.com",
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"stackoverflow.com",
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"techcrunch.com",
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"arxiv.org",
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"developer.mozilla.org"
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],
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"secondary_sources": [
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"hackernews.com",
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"venturebeat.com",
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"wired.com",
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"theverge.com",
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"zdnet.com"
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],
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"search_patterns": [
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"{technology} documentation",
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"{technology} vs {alternative} comparison",
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"{technology} best practices",
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"{technology} performance benchmarks",
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"{technology} implementation guide"
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]
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},
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"company_culture_research": {
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"primary_sources": [
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"glassdoor.com",
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"indeed.com",
|
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"linkedin.com",
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"comparably.com",
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"builtin.com"
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],
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"secondary_sources": [
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"fortune.com",
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"forbes.com",
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"businessinsider.com",
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"inc.com",
|
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"fastcompany.com"
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],
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"search_patterns": [
|
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"{company} employee reviews",
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"{company} company culture",
|
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"{company} work life balance",
|
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"{company} benefits compensation",
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"{company} diversity inclusion"
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]
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},
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"competitive_intelligence": {
|
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"primary_sources": [
|
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"crunchbase.com",
|
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"pitchbook.com",
|
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"cbinsights.com",
|
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"similarweb.com",
|
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"alexa.com"
|
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],
|
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"secondary_sources": [
|
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"techcrunch.com",
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"venturebeat.com",
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"forbes.com",
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"businessinsider.com",
|
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"reuters.com"
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],
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"search_patterns": [
|
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"{company} competitors",
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"{company} market share",
|
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"{company} competitive advantages",
|
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"{company} business model",
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"{company} strategic partnerships"
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]
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}
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},
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"reliable_sources": {
|
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"news": [
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{
|
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"domain": "reuters.com",
|
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"reliability": "high",
|
||||
"authority": "global news agency",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "bloomberg.com",
|
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"reliability": "high",
|
||||
"authority": "financial news",
|
||||
"bias": "low"
|
||||
},
|
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{
|
||||
"domain": "wsj.com",
|
||||
"reliability": "high",
|
||||
"authority": "financial newspaper",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "ft.com",
|
||||
"reliability": "high",
|
||||
"authority": "financial newspaper",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "apnews.com",
|
||||
"reliability": "high",
|
||||
"authority": "news agency",
|
||||
"bias": "low"
|
||||
}
|
||||
],
|
||||
"business": [
|
||||
{
|
||||
"domain": "hbr.org",
|
||||
"reliability": "high",
|
||||
"authority": "harvard business review",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "mckinsey.com",
|
||||
"reliability": "high",
|
||||
"authority": "management consulting",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "bcg.com",
|
||||
"reliability": "high",
|
||||
"authority": "management consulting",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "deloitte.com",
|
||||
"reliability": "high",
|
||||
"authority": "professional services",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "gartner.com",
|
||||
"reliability": "high",
|
||||
"authority": "technology research",
|
||||
"bias": "low-medium"
|
||||
}
|
||||
],
|
||||
"technology": [
|
||||
{
|
||||
"domain": "arxiv.org",
|
||||
"reliability": "high",
|
||||
"authority": "academic papers",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "techcrunch.com",
|
||||
"reliability": "medium-high",
|
||||
"authority": "technology news",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "wired.com",
|
||||
"reliability": "medium-high",
|
||||
"authority": "technology magazine",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "theverge.com",
|
||||
"reliability": "medium-high",
|
||||
"authority": "technology news",
|
||||
"bias": "low-medium"
|
||||
},
|
||||
{
|
||||
"domain": "developer.mozilla.org",
|
||||
"reliability": "high",
|
||||
"authority": "technical documentation",
|
||||
"bias": "low"
|
||||
}
|
||||
],
|
||||
"academic": [
|
||||
{
|
||||
"domain": "scholar.google.com",
|
||||
"reliability": "high",
|
||||
"authority": "academic search",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "ieee.org",
|
||||
"reliability": "high",
|
||||
"authority": "engineering research",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "acm.org",
|
||||
"reliability": "high",
|
||||
"authority": "computer science research",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "sciencedirect.com",
|
||||
"reliability": "high",
|
||||
"authority": "scientific journals",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "springer.com",
|
||||
"reliability": "high",
|
||||
"authority": "academic publisher",
|
||||
"bias": "low"
|
||||
}
|
||||
],
|
||||
"government": [
|
||||
{
|
||||
"domain": "sec.gov",
|
||||
"reliability": "high",
|
||||
"authority": "securities regulator",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "census.gov",
|
||||
"reliability": "high",
|
||||
"authority": "official statistics",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "bls.gov",
|
||||
"reliability": "high",
|
||||
"authority": "labor statistics",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "fred.stlouisfed.org",
|
||||
"reliability": "high",
|
||||
"authority": "economic data",
|
||||
"bias": "low"
|
||||
},
|
||||
{
|
||||
"domain": "data.gov",
|
||||
"reliability": "high",
|
||||
"authority": "government data",
|
||||
"bias": "low"
|
||||
}
|
||||
]
|
||||
},
|
||||
"search_engines": [
|
||||
{
|
||||
"name": "duckduckgo",
|
||||
"url": "https://duckduckgo.com/html/?q=",
|
||||
"reliability": "medium-high",
|
||||
"privacy": "high"
|
||||
},
|
||||
{
|
||||
"name": "google",
|
||||
"url": "https://www.google.com/search?q=",
|
||||
"reliability": "high",
|
||||
"privacy": "low"
|
||||
},
|
||||
{
|
||||
"name": "bing",
|
||||
"url": "https://www.bing.com/search?q=",
|
||||
"reliability": "medium-high",
|
||||
"privacy": "medium"
|
||||
}
|
||||
],
|
||||
"quality_thresholds": {
|
||||
"minimum_sources_per_claim": 3,
|
||||
"maximum_source_age_months": {
|
||||
"technology": 12,
|
||||
"business": 18,
|
||||
"financial": 6,
|
||||
"market": 12,
|
||||
"general": 24
|
||||
},
|
||||
"authority_weights": {
|
||||
"academic": 0.3,
|
||||
"government": 0.25,
|
||||
"industry": 0.2,
|
||||
"news": 0.15,
|
||||
"other": 0.1
|
||||
},
|
||||
"recency_weights": {
|
||||
"last_3_months": 0.4,
|
||||
"last_6_months": 0.3,
|
||||
"last_12_months": 0.2,
|
||||
"older": 0.1
|
||||
}
|
||||
},
|
||||
"output_formats": {
|
||||
"executive_summary": {
|
||||
"max_length": 2000,
|
||||
"sections": ["key_findings", "recommendations", "next_steps"],
|
||||
"include_sources": false
|
||||
},
|
||||
"comprehensive_analysis": {
|
||||
"max_length": 20000,
|
||||
"sections": ["methodology", "findings", "analysis", "recommendations", "sources"],
|
||||
"include_sources": true
|
||||
},
|
||||
"competitive_intelligence": {
|
||||
"max_length": 8000,
|
||||
"sections": ["overview", "competitors", "market_position", "strategic_implications"],
|
||||
"include_sources": true
|
||||
},
|
||||
"technical_evaluation": {
|
||||
"max_length": 10000,
|
||||
"sections": ["requirements", "options", "comparison", "recommendation", "implementation"],
|
||||
"include_sources": true
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,379 @@
|
||||
# Comprehensive Research Report: {{title}}
|
||||
|
||||
**Date:** {{date}}
|
||||
**Prepared by:** {{author}}
|
||||
**Research Period:** {{research_period}}
|
||||
**Report Version:** {{version}}
|
||||
|
||||
---
|
||||
|
||||
## 📋 Table of Contents
|
||||
|
||||
1. [Executive Summary](#executive-summary)
|
||||
2. [Research Objectives](#research-objectives)
|
||||
3. [Methodology](#methodology)
|
||||
4. [Detailed Findings](#detailed-findings)
|
||||
5. [Market Analysis](#market-analysis)
|
||||
6. [Competitive Landscape](#competitive-landscape)
|
||||
7. [SWOT Analysis](#swot-analysis)
|
||||
8. [Financial Assessment](#financial-assessment)
|
||||
9. [Risk Analysis](#risk-analysis)
|
||||
10. [Strategic Recommendations](#strategic-recommendations)
|
||||
11. [Implementation Roadmap](#implementation-roadmap)
|
||||
12. [Sources and References](#sources-and-references)
|
||||
13. [Appendices](#appendices)
|
||||
|
||||
---
|
||||
|
||||
## 📊 Executive Summary
|
||||
|
||||
### Overview
|
||||
|
||||
{{executive_summary_overview}}
|
||||
|
||||
### Key Findings
|
||||
|
||||
{{key_findings_summary}}
|
||||
|
||||
### Critical Recommendations
|
||||
|
||||
{{critical_recommendations}}
|
||||
|
||||
### Expected Impact
|
||||
|
||||
{{expected_impact}}
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Research Objectives
|
||||
|
||||
### Primary Objectives
|
||||
|
||||
{{primary_objectives}}
|
||||
|
||||
### Secondary Objectives
|
||||
|
||||
{{secondary_objectives}}
|
||||
|
||||
### Success Criteria
|
||||
|
||||
{{success_criteria}}
|
||||
|
||||
### Scope and Boundaries
|
||||
|
||||
{{scope_boundaries}}
|
||||
|
||||
---
|
||||
|
||||
## 🔍 Methodology
|
||||
|
||||
### Research Approach
|
||||
|
||||
{{research_approach}}
|
||||
|
||||
### Data Sources
|
||||
|
||||
{{data_sources}}
|
||||
|
||||
### Analytical Frameworks Used
|
||||
|
||||
{{analytical_frameworks}}
|
||||
|
||||
### Quality Assurance Process
|
||||
|
||||
{{quality_assurance_process}}
|
||||
|
||||
### Limitations
|
||||
|
||||
{{methodology_limitations}}
|
||||
|
||||
---
|
||||
|
||||
## 📈 Detailed Findings
|
||||
|
||||
### {{section_1_title}}
|
||||
|
||||
#### Overview
|
||||
|
||||
{{section_1_overview}}
|
||||
|
||||
#### Key Data Points
|
||||
|
||||
{{section_1_key_data}}
|
||||
|
||||
#### Analysis
|
||||
|
||||
{{section_1_analysis}}
|
||||
|
||||
#### Implications
|
||||
|
||||
{{section_1_implications}}
|
||||
|
||||
### {{section_2_title}}
|
||||
|
||||
#### Overview
|
||||
|
||||
{{section_2_overview}}
|
||||
|
||||
#### Key Data Points
|
||||
|
||||
{{section_2_key_data}}
|
||||
|
||||
#### Analysis
|
||||
|
||||
{{section_2_analysis}}
|
||||
|
||||
#### Implications
|
||||
|
||||
{{section_2_implications}}
|
||||
|
||||
### {{section_3_title}}
|
||||
|
||||
#### Overview
|
||||
|
||||
{{section_3_overview}}
|
||||
|
||||
#### Key Data Points
|
||||
|
||||
{{section_3_key_data}}
|
||||
|
||||
#### Analysis
|
||||
|
||||
{{section_3_analysis}}
|
||||
|
||||
#### Implications
|
||||
|
||||
{{section_3_implications}}
|
||||
|
||||
---
|
||||
|
||||
## 🌍 Market Analysis
|
||||
|
||||
### Market Size and Growth
|
||||
|
||||
{{market_size_growth}}
|
||||
|
||||
### Market Segmentation
|
||||
|
||||
{{market_segmentation}}
|
||||
|
||||
### Customer Analysis
|
||||
|
||||
{{customer_analysis}}
|
||||
|
||||
### Market Trends
|
||||
|
||||
{{market_trends}}
|
||||
|
||||
### Market Drivers and Restraints
|
||||
|
||||
{{market_drivers_restraints}}
|
||||
|
||||
---
|
||||
|
||||
## ⚔️ Competitive Landscape
|
||||
|
||||
### Major Competitors
|
||||
|
||||
{{major_competitors}}
|
||||
|
||||
### Market Share Analysis
|
||||
|
||||
{{market_share_analysis}}
|
||||
|
||||
### Competitive Positioning
|
||||
|
||||
{{competitive_positioning}}
|
||||
|
||||
### Competitive Advantages
|
||||
|
||||
{{competitive_advantages}}
|
||||
|
||||
### Threat Assessment
|
||||
|
||||
{{threat_assessment}}
|
||||
|
||||
---
|
||||
|
||||
## 🎯 SWOT Analysis
|
||||
|
||||
### Strengths
|
||||
|
||||
{{strengths_list}}
|
||||
|
||||
### Weaknesses
|
||||
|
||||
{{weaknesses_list}}
|
||||
|
||||
### Opportunities
|
||||
|
||||
{{opportunities_list}}
|
||||
|
||||
### Threats
|
||||
|
||||
{{threats_list}}
|
||||
|
||||
### SWOT Strategic Implications
|
||||
|
||||
{{swot_strategic_implications}}
|
||||
|
||||
---
|
||||
|
||||
## 💰 Financial Assessment
|
||||
|
||||
### Financial Performance Overview
|
||||
|
||||
{{financial_performance}}
|
||||
|
||||
### Revenue Analysis
|
||||
|
||||
{{revenue_analysis}}
|
||||
|
||||
### Cost Structure
|
||||
|
||||
{{cost_structure}}
|
||||
|
||||
### Profitability Metrics
|
||||
|
||||
{{profitability_metrics}}
|
||||
|
||||
### Investment Requirements
|
||||
|
||||
{{investment_requirements}}
|
||||
|
||||
### Financial Projections
|
||||
|
||||
{{financial_projections}}
|
||||
|
||||
---
|
||||
|
||||
## ⚠️ Risk Analysis
|
||||
|
||||
### Market Risks
|
||||
|
||||
{{market_risks}}
|
||||
|
||||
### Operational Risks
|
||||
|
||||
{{operational_risks}}
|
||||
|
||||
### Financial Risks
|
||||
|
||||
{{financial_risks}}
|
||||
|
||||
### Regulatory Risks
|
||||
|
||||
{{regulatory_risks}}
|
||||
|
||||
### Mitigation Strategies
|
||||
|
||||
{{mitigation_strategies}}
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Strategic Recommendations
|
||||
|
||||
### Priority 1: Critical (0-30 days)
|
||||
|
||||
{{priority_1_recommendations}}
|
||||
|
||||
### Priority 2: Important (30-90 days)
|
||||
|
||||
{{priority_2_recommendations}}
|
||||
|
||||
### Priority 3: Strategic (90-180 days)
|
||||
|
||||
{{priority_3_recommendations}}
|
||||
|
||||
### Resource Requirements
|
||||
|
||||
{{resource_requirements}}
|
||||
|
||||
### Success Metrics
|
||||
|
||||
{{success_metrics}}
|
||||
|
||||
---
|
||||
|
||||
## 🛣️ Implementation Roadmap
|
||||
|
||||
### Phase 1: Foundation (Months 1-2)
|
||||
|
||||
{{phase_1_activities}}
|
||||
|
||||
### Phase 2: Execution (Months 3-6)
|
||||
|
||||
{{phase_2_activities}}
|
||||
|
||||
### Phase 3: Optimization (Months 7-12)
|
||||
|
||||
{{phase_3_activities}}
|
||||
|
||||
### Governance Structure
|
||||
|
||||
{{governance_structure}}
|
||||
|
||||
### Monitoring and Review
|
||||
|
||||
{{monitoring_review}}
|
||||
|
||||
---
|
||||
|
||||
## 📚 Sources and References
|
||||
|
||||
### Primary Sources
|
||||
|
||||
{{primary_sources}}
|
||||
|
||||
### Secondary Sources
|
||||
|
||||
{{secondary_sources}}
|
||||
|
||||
### Tertiary Sources
|
||||
|
||||
{{tertiary_sources}}
|
||||
|
||||
### Source Quality Assessment
|
||||
|
||||
{{source_quality_assessment}}
|
||||
|
||||
---
|
||||
|
||||
## 📎 Appendices
|
||||
|
||||
### Appendix A: Raw Data
|
||||
|
||||
{{appendix_a_data}}
|
||||
|
||||
### Appendix B: Detailed Calculations
|
||||
|
||||
{{appendix_b_calculations}}
|
||||
|
||||
### Appendix C: Additional Charts and Graphs
|
||||
|
||||
{{appendix_c_visuals}}
|
||||
|
||||
### Appendix D: Industry Definitions
|
||||
|
||||
{{appendix_d_definitions}}
|
||||
|
||||
### Appendix E: Glossary of Terms
|
||||
|
||||
{{appendix_e_glossary}}
|
||||
|
||||
---
|
||||
|
||||
## 📝 Report Metadata
|
||||
|
||||
**Research Lead:** {{research_lead}}
|
||||
**Contributing Analysts:** {{contributing_analysts}}
|
||||
**Quality Review:** {{quality_reviewer}}
|
||||
**Research Completion Date:** {{completion_date}}
|
||||
**Next Review Date:** {{next_review_date}}
|
||||
|
||||
**Document Classification:** {{classification_level}}
|
||||
**Distribution List:** {{distribution_list}}
|
||||
|
||||
---
|
||||
|
||||
_This report was generated using the Deep Research Professional methodology. All findings are based on publicly available information and should be validated with primary sources where possible. The research methodology and sources are fully documented for transparency and verification purposes._
|
||||
@@ -0,0 +1,59 @@
|
||||
# Executive Summary: {{title}}
|
||||
|
||||
**Date:** {{date}}
|
||||
**Prepared by:** {{author}}
|
||||
**Research Period:** {{research_period}}
|
||||
|
||||
## 🎯 Key Findings
|
||||
|
||||
### {{finding_1_title}}
|
||||
|
||||
{{finding_1_content}}
|
||||
|
||||
### {{finding_2_title}}
|
||||
|
||||
{{finding_2_content}}
|
||||
|
||||
### {{finding_3_title}}
|
||||
|
||||
{{finding_3_content}}
|
||||
|
||||
## 📊 Critical Insights
|
||||
|
||||
1. **Primary Insight:** {{primary_insight}}
|
||||
2. **Secondary Insight:** {{secondary_insight}}
|
||||
3. **Tertiary Insight:** {{tertiary_insight}}
|
||||
|
||||
## 🎪 Strategic Implications
|
||||
|
||||
### Opportunities
|
||||
|
||||
- {{opportunity_1}}
|
||||
- {{opportunity_2}}
|
||||
- {{opportunity_3}}
|
||||
|
||||
### Risks & Challenges
|
||||
|
||||
- {{risk_1}}
|
||||
- {{risk_2}}
|
||||
- {{risk_3}}
|
||||
|
||||
## 🚀 Immediate Recommendations
|
||||
|
||||
1. **Priority 1 (0-30 days):** {{priority_1_recommendation}}
|
||||
2. **Priority 2 (30-90 days):** {{priority_2_recommendation}}
|
||||
3. **Priority 3 (90-180 days):** {{priority_3_recommendation}}
|
||||
|
||||
## 📈 Success Metrics
|
||||
|
||||
- {{metric_1}}: {{metric_1_target}}
|
||||
- {{metric_2}}: {{metric_2_target}}
|
||||
- {{metric_3}}: {{metric_3_target}}
|
||||
|
||||
## 📚 Next Steps
|
||||
|
||||
{{next_steps_overview}}
|
||||
|
||||
---
|
||||
|
||||
_This executive summary is based on comprehensive research conducted using the Deep Research Professional methodology. For detailed findings and supporting data, please refer to the full research report._
|
||||
Reference in New Issue
Block a user