summarize-ai-agent-trends skill

---
name: summarize-ai-agent-trends
description: Summarizes weekly trends for 'AI Agent Tools', providing a Top 10 table with names, official links, core capabilities, and application scenarios, along with reusable research steps.
---
---
name: summarize-ai-agent-trends
description: Summarizes weekly trends for 'AI Agent Tools', providing a Top 10 table with names, official links, core capabilities, and application scenarios, along with reusable research steps.
tags:
  - AI Agents
  - Trends
  - Market Research
  - Tool Summary
  - Weekly Report
---

# AI Agent Tools Weekly Trend Summary

This skill generates a concise summary of the top 10 trending AI Agent tools over the past week, presented in a tabular format. It also outlines a repeatable research methodology for future trend analysis.

## Core Functionality

1.  **Trend Identification**: Scans various sources (e.g., GitHub trending, tech news, AI forums, prominent AI newsletters) to identify emerging and popular AI Agent tools.
2.  **Data Extraction**: For each identified tool, extracts key information:
    *   Tool Name
    *   Official Website/GitHub Link
    *   Core Capabilities (brief description of what it does)
    *   Application Scenarios (where it can be used)
3.  **Top 10 Curation**: Ranks tools based on perceived trendiness (e.g., star growth on GitHub, mentions in articles, community buzz) and selects the top 10.
4.  **Table Generation**: Presents the information in a clear, easy-to-read table.
5.  **Research Methodology**: Provides a step-by-step guide on how to replicate the trend analysis process.

## Usage

**Trigger**: "总结过去一周'AIAgent工具'的热趋势" or "Summarize last week's AI Agent tool trends."

### Output Structure

**Top 10 AI Agent Tools (Past Week)**

| 名称        | 官网链接/GitHub链接 | 核心能力                                  | 应用场景                                  |
| :---------- | :------------------ | :---------------------------------------- | :---------------------------------------- |
| [Tool 1]    | [Link 1]            | [Capability 1]                            | [Scenario 1]                              |
| [Tool 2]    | [Link 2]            | [Capability 2]                            | [Scenario 2]                              |
| ...         | ...                 | ...                                       | ...                                       |
| [Tool 10]   | [Link 10]           | [Capability 10]                           | [Scenario 10]                             |

**可复用的调研步骤 (Reusable Research Steps)**

1.  **定义时间范围**: 确定要分析的周期（例如，过去7天）。
2.  **选择数据源**: 
    *   **GitHub Trending**: 关注 `AI Agent`, `LLM Agent`, `Autonomous Agent` 等关键词的项目。
    *   **技术新闻/博客**: 阅读主流AI媒体（如TechCrunch AI, The Verge AI, Towards Data Science）和专业AI博客。
    *   **社区论坛**: 浏览Reddit (r/singularity, r/LocalLLaMA), Hacker News等。
    *   **AI Newsletter**: 订阅并查阅如 "The Batch", "AI Tidbits" 等AI领域的周报。
    *   **Twitter/X**: 关注AI领域有影响力的人物和机构。
3.  **关键词搜索**: 使用 `AI Agent`, `LLM Agent`, `Autonomous AI`, `Agentic Workflow`, `Agent Framework` 等关键词进行搜索。
4.  **初步筛选**: 根据标题、描述和近期活动（如GitHub星标增长、文章发布日期）进行初步筛选，识别潜在的热门工具。
5.  **深入调研**: 对筛选出的工具进行详细了解，包括：
    *   访问官网或GitHub仓库，阅读README。
    *   了解其核心功能和技术栈。
    *   分析其主要应用场景和解决的问题。
    *   查看社区活跃度、文档质量和用户反馈。
6.  **数据整理与排名**: 
    *   根据工具的创新性、社区关注度、解决问题的能力和近期增长趋势进行综合评估。
    *   选出Top 10工具。
    *   整理成表格形式，包含名称、链接、核心能力和应用场景。
7.  **报告生成**: 撰写总结报告，包含Top 10表格和调研步骤。