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Zhongwei Li
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commands/log.md
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commands/log.md
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---
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description: Log a new AI experiment with terminal report
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shortcut: log-exp
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---
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# Log AI Experiment
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When the user runs `/log-exp` or `/log`, help them log a new AI experiment by gathering the following information:
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## Required Information
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1. **AI Tool Used** - e.g., "ChatGPT o1-preview", "Claude Sonnet 3.5", "Gemini Pro"
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2. **Prompt/Query** - What they asked the AI
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3. **Result Summary** - Brief summary of the AI's response
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4. **Effectiveness Rating** - 1 (poor) to 5 (excellent)
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5. **Tags** (optional) - Comma-separated tags like "code-generation, python, debugging"
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6. **Date** (optional) - Defaults to now if not provided
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## Process
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1. Ask for the information conversationally (don't make it feel like a form)
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2. Once you have all required info, use the `log_experiment` MCP tool
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3. Display a formatted terminal report showing:
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- ✅ Success confirmation
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- 📊 Experiment ID
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- 🤖 AI Tool
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- ⭐ Rating
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- 🏷️ Tags
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- 📅 Date/Time
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## Example Interaction
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```
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User: /log-exp
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123
commands/report.md
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commands/report.md
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---
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description: Generate comprehensive terminal report of AI experiments
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shortcut: ai-report
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---
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# AI Experiments Report
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When the user runs `/ai-report`, generate a comprehensive, well-formatted terminal report of their AI experiments.
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## Report Sections
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### 1. Summary Statistics
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Display at the top:
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```
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╔══════════════════════════════════════════════════════════════╗
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║ AI EXPERIMENT LOGGER - SUMMARY REPORT ║
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╚══════════════════════════════════════════════════════════════╝
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📊 OVERVIEW
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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Total Experiments: [count]
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Average Rating: [X.XX] ⭐
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Date Range: [earliest] → [latest]
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```
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### 2. Top Performing AI Tools
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Show the top 5 AI tools by average rating:
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```
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🏆 TOP AI TOOLS BY PERFORMANCE
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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1. ChatGPT o1-preview ⭐ 4.85 avg (20 experiments)
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2. Claude Sonnet 3.5 ⭐ 4.75 avg (18 experiments)
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3. Gemini Pro ⭐ 4.20 avg (12 experiments)
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```
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### 3. Rating Distribution
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Show distribution visually:
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```
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⭐ RATING DISTRIBUTION
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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5 stars ████████████████████████████ (28)
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4 stars ████████████████████ (20)
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3 stars ██████████ (10)
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2 stars ████ (4)
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1 star ██ (2)
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```
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### 4. Most Used Tags
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Show top 10 tags:
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```
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🏷️ POPULAR TAGS
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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code-generation (15) debugging (12) research (10)
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creative-writing (8) data-analysis (7) testing (6)
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```
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### 5. Recent Activity
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Show last 7 days:
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```
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📈 RECENT ACTIVITY (Last 7 Days)
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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2025-10-13: ████████ (8 experiments)
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2025-10-12: ██████ (6 experiments)
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2025-10-11: ████ (4 experiments)
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```
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### 6. Latest Experiments
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Show the 5 most recent:
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```
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📝 LATEST EXPERIMENTS
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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[Oct 13, 2:30 PM] ChatGPT o1-preview ⭐⭐⭐⭐⭐
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Prompt: Write a Python function to calculate Fibonacci
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Tags: code-generation, python
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[Oct 13, 1:15 PM] Claude Sonnet 3.5 ⭐⭐⭐⭐
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Prompt: Debug React useState issue with async
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Tags: debugging, react, javascript
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```
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## Data Sources
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Use the `get_statistics` and `list_experiments` MCP tools to gather all data.
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## Optional Filters
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Support these filters via arguments:
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- `/ai-report tool:ChatGPT` - Show report for specific tool
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- `/ai-report tag:code-generation` - Show report for specific tag
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- `/ai-report days:30` - Show last 30 days only
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- `/ai-report rating:5` - Show only 5-star experiments
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## Error Handling
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If no experiments exist:
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```
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╔══════════════════════════════════════════════════════════════╗
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║ AI EXPERIMENT LOGGER - SUMMARY REPORT ║
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╚══════════════════════════════════════════════════════════════╝
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📊 NO EXPERIMENTS YET
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Get started by logging your first AI experiment:
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/log-exp
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Or use the MCP tool directly:
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Use the log_experiment tool
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```
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## Implementation Notes
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- Use Unicode box drawing characters for clean terminal output
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- Ensure all sections are properly aligned
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- Use emoji for visual appeal but keep it professional
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- Calculate percentages and averages with 2 decimal precision
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- Sort all rankings by count/rating descending
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- Format dates in user-friendly format (Oct 13, 2:30 PM)
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131
commands/search.md
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131
commands/search.md
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---
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description: Search AI experiments and display formatted results
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shortcut: search-exp
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---
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# Search AI Experiments
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When the user runs `/search-exp [query]`, search through all AI experiments and display formatted terminal results.
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## Search Behavior
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Search across these fields:
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- AI tool name
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- Prompt text
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- Result text
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- Tags
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## Usage Examples
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```bash
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/search-exp code # Search for "code"
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/search-exp tool:ChatGPT # Filter by tool
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/search-exp tag:debugging # Filter by tag
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/search-exp rating:5 # Filter by rating
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/search-exp "python function" # Search phrase
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```
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## Output Format
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```
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╔══════════════════════════════════════════════════════════════╗
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║ AI EXPERIMENTS - SEARCH RESULTS ║
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╚══════════════════════════════════════════════════════════════╝
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Found 12 experiments matching "code generation"
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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[1] Oct 13, 2:30 PM | ChatGPT o1-preview | ⭐⭐⭐⭐⭐
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📝 Prompt:
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Write a Python function to calculate Fibonacci numbers recursively
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💡 Result:
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Provided clean recursive implementation with base cases. Included
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time complexity analysis (O(2^n)).
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🏷️ Tags: code-generation, python, algorithms
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🆔 ID: exp_1697234567890_abc123def
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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[2] Oct 12, 4:15 PM | Claude Sonnet 3.5 | ⭐⭐⭐⭐
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📝 Prompt:
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Generate TypeScript interfaces from JSON schema
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💡 Result:
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Created well-typed interfaces with proper nested types and
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optional fields.
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🏷️ Tags: code-generation, typescript, types
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🆔 ID: exp_1697148912345_xyz789abc
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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📊 QUICK STATS
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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Total results: 12 experiments
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Average rating: 4.42 ⭐
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Most common tool: ChatGPT o1-preview (7 experiments)
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Most common tag: code-generation (12 experiments)
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```
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## Advanced Filters
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Support combined filters:
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```bash
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/search-exp tool:ChatGPT rating:5 tag:python
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```
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Parse and apply each filter:
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- `tool:X` → Filter by AI tool
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- `rating:X` → Filter by rating (1-5)
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- `tag:X` → Filter by tag
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- `date:YYYY-MM-DD` → Filter by specific date
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- `from:YYYY-MM-DD` → From date
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- `to:YYYY-MM-DD` → To date
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## Empty Results
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```
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╔══════════════════════════════════════════════════════════════╗
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║ AI EXPERIMENTS - SEARCH RESULTS ║
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╚══════════════════════════════════════════════════════════════╝
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🔍 No experiments found matching "xyz123"
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Try:
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• Broadening your search terms
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• Checking spelling
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• Using /ai-report to see all experiments
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• Using different filter criteria
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```
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## Sorting Options
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Support sorting with suffix:
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```bash
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/search-exp code :date # Sort by date (newest first)
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/search-exp code :rating # Sort by rating (highest first)
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/search-exp code :tool # Sort by tool name (alphabetical)
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```
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## Limit Results
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Default to showing 10 results, with pagination hint:
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```
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Showing 10 of 45 results. Use filters to narrow down.
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```
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## Implementation
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Use the `list_experiments` MCP tool with appropriate filters:
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- `searchQuery` for text search
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- `aiTool` for tool filter
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- `rating` for rating filter
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- `tags` for tag filter
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- `dateFrom` / `dateTo` for date range
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Format output to be readable in terminal with proper spacing and visual hierarchy.
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