Autoresearch

4. Continuous Learning

• Learn from successful search strategies
• Adapt queries based on results
• Improve relevance over time
• Store useful sources for future reference

When to Use This Skill

Invoke this skill when:

• User needs comprehensive research on a topic
• Gathering information from multiple sources
• Conducting competitive analysis
• Researching best practices or solutions
• Finding documentation or resources
• Analyzing trends or market data
• Investigating issues or problems

Research Workflow

Phase 1: Query Planning

1. Understand the Goal: Clarify what information is needed
2. Identify Keywords: Extract key terms and concepts
3. Determine Scope: Define breadth and depth of research
4. Select Sources: Choose appropriate platforms and databases
5. Plan Strategy: Decide on search approach and filters

Phase 2: Information Gathering

1. Execute Searches: Run queries across multiple sources
2. Collect Results: Gather relevant pages and documents
3. Extract Data: Pull key information from sources
4. Track Sources: Record origin and credibility
5. Monitor Quality: Assess reliability of information

Phase 3: Analysis and Synthesis

1. Cross-Reference: Compare findings across sources
2. Identify Patterns: Recognize trends and commonalities
3. Resolve Conflicts: Address contradictory information
4. Synthesize Insights: Combine information into coherent picture
5. Generate Summary: Create concise overview of findings

Phase 4: Validation and Refinement

1. Verify Claims: Check accuracy of key statements
2. Update Outdated: Refresh time-sensitive information
3. Fill Gaps: Identify missing information
4. Refine Results: Improve clarity and completeness
5. Document Process: Record methodology and sources

Search Strategies

1. Broad-to-Narrow Approach

# Start with broad queries
"machine learning best practices"

# Narrow down based on results
"machine learning best practices python 2024"

# Further refine for specific needs
"machine learning best practices python scikit-learn production"

2. Multi-Modal Searching

• Web Search: General information and overviews
• Academic Databases: Research papers and studies
• Documentation Sites: Technical specifications and guides
• Forums and Communities: Practical experiences and solutions
• Code Repositories: Implementation examples and code

3. Temporal Filtering

# Add time constraints to queries
"react performance optimization 2024"
"python async await best practices recent"

# Use search engine filters