用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/tools-only/X-Skills --skill search命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Index of Build Systems Skills
Coordination patterns for distributed dataflow systems including barriers, epochs, and distributed snapshots
Windowing, sessionization, time-series aggregation, and late data handling for streaming systems
基于 SOC 职业分类
正在显示 SKILL.md
| name | search |
| description | Search AI experiments and display formatted results |
| shortcut | sear |
When the user runs /search-exp [query], search through all AI experiments and display formatted terminal results.
Search across these fields:
/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
╔══════════════════════════════════════════════════════════════╗
║ 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)
Support combined filters:
/search-exp tool:ChatGPT rating:5 tag:python
Parse and apply each filter:
tool:X → Filter by AI toolrating:X → Filter by rating (1-5)tag:X → Filter by tagdate:YYYY-MM-DD → Filter by specific datefrom:YYYY-MM-DD → From dateto:YYYY-MM-DD → To date╔══════════════════════════════════════════════════════════════╗
║ 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
Support sorting with suffix:
/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)
Default to showing 10 results, with pagination hint:
Showing 10 of 45 results. Use filters to narrow down.
Use the list_experiments MCP tool with appropriate filters:
searchQuery for text searchaiTool for tool filterrating for rating filtertags for tag filterdateFrom / dateTo for date rangeFormat output to be readable in terminal with proper spacing and visual hierarchy.