Initial commit

This commit is contained in:
Zhongwei Li
2025-11-30 08:20:20 +08:00
commit b1f89ff340
21 changed files with 1279 additions and 0 deletions

131
commands/search.md Normal file
View File

@@ -0,0 +1,131 @@
---
description: Search AI experiments and display formatted results
shortcut: search-exp
---
# Search AI Experiments
When the user runs `/search-exp [query]`, search through all AI experiments and display formatted terminal results.
## Search Behavior
Search across these fields:
- AI tool name
- Prompt text
- Result text
- Tags
## Usage Examples
```bash
/search-exp code # Search for "code"
/search-exp tool:ChatGPT # Filter by tool
/search-exp tag:debugging # Filter by tag
/search-exp rating:5 # Filter by rating
/search-exp "python function" # Search phrase
```
## Output Format
```
╔══════════════════════════════════════════════════════════════╗
║ AI EXPERIMENTS - SEARCH RESULTS ║
╚══════════════════════════════════════════════════════════════╝
Found 12 experiments matching "code generation"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[1] Oct 13, 2:30 PM | ChatGPT o1-preview | ⭐⭐⭐⭐⭐
📝 Prompt:
Write a Python function to calculate Fibonacci numbers recursively
💡 Result:
Provided clean recursive implementation with base cases. Included
time complexity analysis (O(2^n)).
🏷️ Tags: code-generation, python, algorithms
🆔 ID: exp_1697234567890_abc123def
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[2] Oct 12, 4:15 PM | Claude Sonnet 3.5 | ⭐⭐⭐⭐
📝 Prompt:
Generate TypeScript interfaces from JSON schema
💡 Result:
Created well-typed interfaces with proper nested types and
optional fields.
🏷️ Tags: code-generation, typescript, types
🆔 ID: exp_1697148912345_xyz789abc
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 QUICK STATS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total results: 12 experiments
Average rating: 4.42 ⭐
Most common tool: ChatGPT o1-preview (7 experiments)
Most common tag: code-generation (12 experiments)
```
## Advanced Filters
Support combined filters:
```bash
/search-exp tool:ChatGPT rating:5 tag:python
```
Parse and apply each filter:
- `tool:X` → Filter by AI tool
- `rating:X` → Filter by rating (1-5)
- `tag:X` → Filter by tag
- `date:YYYY-MM-DD` → Filter by specific date
- `from:YYYY-MM-DD` → From date
- `to:YYYY-MM-DD` → To date
## Empty Results
```
╔══════════════════════════════════════════════════════════════╗
║ AI EXPERIMENTS - SEARCH RESULTS ║
╚══════════════════════════════════════════════════════════════╝
🔍 No experiments found matching "xyz123"
Try:
• Broadening your search terms
• Checking spelling
• Using /ai-report to see all experiments
• Using different filter criteria
```
## Sorting Options
Support sorting with suffix:
```bash
/search-exp code :date # Sort by date (newest first)
/search-exp code :rating # Sort by rating (highest first)
/search-exp code :tool # Sort by tool name (alphabetical)
```
## Limit Results
Default to showing 10 results, with pagination hint:
```
Showing 10 of 45 results. Use filters to narrow down.
```
## Implementation
Use the `list_experiments` MCP tool with appropriate filters:
- `searchQuery` for text search
- `aiTool` for tool filter
- `rating` for rating filter
- `tags` for tag filter
- `dateFrom` / `dateTo` for date range
Format output to be readable in terminal with proper spacing and visual hierarchy.