| name | agent-caller |
| version | 1.0.3 |
| description | Call 179 professional agents on-demand from database |
| author | Erbing |
| license | MIT |
| keywords | ["agents","ai","collaboration","database","search","multi-agent"] |
| category | productivity |
| requires | ["python >= 3.6","sqlite3"] |
| install | {"post_install":"# Create database directory\nmkdir -p memory/database\n\n# Initialize database and import agents\npython scripts/init_database.py\n\n# Verify installation\npython scripts/verify_install.py\n"} |
Agent Caller
按需调用179个专业AI Agent
功能介绍
这个技能提供179个专业AI Agent的按需访问,涵盖15个分类:
- ✅ 按关键词搜索Agent
- ✅ 按分类浏览Agent
- ✅ 随机推荐Agent
- ✅ 获取完整Agent提示词
- ✅ 支持多Agent协作
⚠️ 重要说明
此技能已包含179个Agent的完整数据。
安装后,用户将获得:
- ✅ 179个预置的Agent数据
- ✅ 自动数据库初始化
- ✅ 完整的API工具
- ✅ 使用文档和示例
无需用户手动导入数据,开箱即用!
What This Skill Does
This skill provides on-demand access to 179 professional AI agents across 15 categories. You can:
- Search agents by keywords
- Browse agents by category
- Get random agent recommendations
- Access full agent prompts
- Enable multi-agent collaboration
Quick Start
Python API
from scripts.agent_caller import AgentCaller
caller = AgentCaller()
agents = caller.search_agents('AI')
agent = caller.get_agent_by_name('Backend Architect')
engineering_agents = caller.get_agents_by_category('engineering')
random_agent = caller.get_random_agent()
CLI
python scripts/agent_caller.py "AI"
python scripts/agent_caller.py --categories
python scripts/agent_caller.py --random
Agent Categories (15)
| Category | Count | Examples |
|---|
| marketing | 29 | Growth Hacker, SEO Specialist |
| specialized | 28 | Agents Orchestrator, Code Generator |
| engineering | 26 | Backend Architect, AI Engineer |
| game-development |