The /agent and /search commands represent Agentastic's most advanced AI capabilities, enabling autonomous task completion and intelligent information retrieval.
Agent Command (/agent)
The /agent command activates an autonomous AI assistant that can break down complex tasks, execute multiple steps, and deliver comprehensive results.
What Makes /agent Different
Unlike single-response AI commands, /agent:
- Plans multi-step approaches
- Executes tasks autonomously
- Adapts based on results
- Combines multiple tools
- Iterates until complete
Agent Capabilities
Research and Analysis
/agent Research competitors' pricing and create comparison table
/agent Analyze customer feedback and identify top 3 issues
/agent Study best practices for React performance optimization
Content Creation
/agent Write comprehensive guide on macOS productivity
/agent Create weekly newsletter from recent blog posts
/agent Generate documentation from code comments
Task Automation
/agent Organize my Downloads folder by type and date
/agent Find and summarize all meeting notes from this week
/agent Create project status report from multiple sources
Problem Solving
/agent Debug why the application is running slowly
/agent Find solution for the Excel formula error
/agent Optimize this workflow for efficiency
How /agent Works
- Task Analysis - Breaks down your request
- Planning - Creates step-by-step approach
- Execution - Performs each step
- Validation - Checks results
- Iteration - Refines if needed
- Delivery - Presents final outcome
Agent Examples
Complex Research
/agent Research and summarize the latest developments in AI text generation, including key players, recent breakthroughs, and future predictions. Create a structured report with sources.
Multi-Source Analysis
/agent Analyze my email, calendar, and recent documents to create a comprehensive weekly status update for my manager.
Workflow Automation
/agent Every Friday, check my calendar for next week, identify preparation needed for each meeting, and create a preparation checklist.
Agent Best Practices
Be Specific About Outcomes
❌ /agent Help with project
✅ /agent Create project timeline with milestones based on requirements.doc
Provide Context
❌ /agent Fix the problem
✅ /agent Debug why users can't log in after the recent update
Set Clear Boundaries
❌ /agent Do everything needed
✅ /agent Research, outline, and draft introduction for blog post
Agent Limitations
- Requires clear task definition
- May take longer for complex tasks
- Internet connection required
- Some actions need confirmation
- Resource intensive for large tasks
Search Command (/search)
The /search command provides intelligent web search with understanding of context and intent.
Search Capabilities
Intelligent Query Understanding
/search Latest macOS shortcuts for productivity
/search How to fix Python ImportError
/search Reviews for standing desks under $500
Multi-Source Aggregation
/search Compare iPhone 15 Pro vs Samsung S24 Ultra
/search Collect recipes for vegetarian lasagna
/search Find all tutorials on React Server Components
Real-Time Information
/search Current stock price of AAPL
/search Weather forecast for next week
/search Latest news about artificial intelligence
Advanced Search Features
Filtered Searches
/search:academic Papers on machine learning bias
/search:news Recent developments in space technology
/search:tutorials How to use Docker for beginners
Time-Bounded Searches
/search:recent Last 24 hours of tech news
/search:week Updates from this week on project
/search:month Monthly summary of AI developments
Domain-Specific
/search site:github.com React best practices
/search site:stackoverflow.com Python async await
/search site:reddit.com Reviews of productivity apps
Search Intelligence
The search command goes beyond simple queries:
- Intent Recognition - Understands what you're looking for
- Source Evaluation - Prioritizes reliable sources
- Result Synthesis - Combines multiple sources
- Fact Checking - Validates information
- Summary Generation - Distills key points
Search Examples
Technical Problem Solving
/search Error: "Module not found" in Next.js 13
Result: Targeted solutions from Stack Overflow, GitHub issues, and official docs
Product Research
/search Best ergonomic keyboard for programming 2024
Result: Comparison of top options with pros, cons, and user reviews
Learning Resources
/search Free courses on machine learning for beginners
Result: Curated list of courses with difficulty levels and time requirements
Combining Agent and Search
Use both commands together for powerful workflows:
Research Projects
/agent /search Create comprehensive report on remote work trends post-2023
Problem Investigation
/search Find similar issues → /agent Analyze and create solution plan
Content Creation
/search Gather sources → /agent Write article with citations
Agent vs Search: When to Use Which
Use /agent When:
- Task requires multiple steps
- Need analysis and synthesis
- Want autonomous execution
- Dealing with complex problems
- Creating comprehensive output
Use /search When:
- Need specific information
- Want quick answers
- Looking for current data
- Researching options
- Fact-checking claims
Advanced Techniques
Agent Chaining
/agent Create outline → Review → /agent Expand each section
Search Refinement
/search Initial query → Too broad → /search:specific Refined query
Hybrid Workflows
/search Gather data → /agent Analyze → /search Verify findings
Performance Optimization
For /agent
- Break very large tasks into phases
- Provide clear success criteria
- Include relevant context upfront
- Use specific output formats
For /search
- Use precise keywords
- Specify domains when known
- Add time constraints if relevant
- Request summaries for long results
Common Use Cases
Daily Productivity
/agent Summarize important emails and create action items
/search Quick answers to technical questions
/agent Prepare for tomorrow's meetings
Research and Learning
/search Find learning resources on new topic
/agent Create study guide from multiple sources
/search Stay updated on industry trends
Problem Solving
/search Find others with similar issues
/agent Develop solution strategy
/search Verify solution effectiveness
Troubleshooting
Agent Taking Too Long
- Simplify the task
- Break into smaller parts
- Check internet connection
- Cancel and restart if needed
Search Not Finding Results
- Try different keywords
- Remove filters
- Check spelling
- Broaden search terms
Quality Issues
- Provide more context
- Specify desired format
- Request specific sources
- Iterate on results
Tips and Tricks
Agent Mastery
- Start with simple tasks to understand capabilities
- Gradually increase complexity
- Save successful agent prompts
- Learn from agent's approach
Search Excellence
- Use natural language queries
- Combine with other tools
- Leverage search history
- Refine based on results
Next Steps
- Explore Memory Integration with agent
- Learn Custom Workflows using commands
- Review All Commands Reference
The /agent and /search commands represent the pinnacle of Agentastic's AI capabilities. Master these to transform how you work with information and complete complex tasks!