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analyzer分析器

Agent Skill

analyzer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,014

周安装

41

GitHub Stars

326

下载量

318
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analyzer(分析器)
来源仓库:https://github.com/ibigqiang/feedgrab
仓库路径:skills/analyzer
安装命令:
npx skills add https://github.com/ibigqiang/feedgrab --skill analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ibigqiang/feedgrab --skill analyzer

简介

analyzer 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Content Analyzer Skill

Any content → structured analysis report with actionable insights

Trigger

When user sends content (URL, text, or transcript) with analysis intent:

  • /analyze [URL]
  • "Analyze this article"
  • "What are the key takeaways?"
  • Auto-triggered after video/podcast transcription (from video skill)

Pipeline

Step 1: Get Content

Choose tool based on input type:

InputTool
Tweet URLfetch_tweet or Jina Reader
Web URLWebFetch or Jina Reader
Local fileRead file directly
Transcript from video skillUse directly

Step 2: Multi-Dimensional Analysis

Scan content across these dimensions. Only output dimensions with actual content — skip empty ones.

## 📖 Summary

[1-3 sentence core thesis]

**Source**: [author/publisher] · [date]
**Type**: [tweet/article/video/podcast/report]

---

## 💡 Key Insights

### 🎯 Core Arguments
- **Thesis**: [Main argument or finding]
- **Evidence**: [Supporting data or reasoning]
- **Strength**: [How convincing? What's missing?]

### 🤖 Tools & Methods
- **What**: [Tools, frameworks, or techniques mentioned]
- **How**: [How they're used or applied]
- **Relevance**: [Could you use this?]

### ⚙️ Workflow Ideas
- **Optimization**: [Process improvements mentioned]
- **Automation**: [What could be automated]
- **Integration**: [How to fit into existing workflow]

### 📊 Data & Numbers
- **Key metrics**: [Important numbers mentioned]
- **Trends**: [Patterns in the data]
- **Gaps**: [What data is missing]

### ⚠️ Risks & Warnings
- **Pitfalls**: [Explicitly mentioned risks]
- **Blind spots**: [What the author might be missing]
- **Counter-arguments**: [Alternative perspectives]

### 🔗 Resources
- **Tools/APIs**: [Mentioned tools or data sources]
- **People**: [Worth following or referencing]
- **Further reading**: [Related content]

### 🧠 Mental Model Shifts
- **Before**: [Common assumption]
- **After**: [New understanding from this content]
- **Impact**: [How this changes decisions]

---

## ✅ Action Items

### Quick Wins (< 30 min)
- [ ] [Action 1] — Impact: ★★★★ | Effort: Easy
- [ ] [Action 2] — Impact: ★★★ | Effort: Easy

### Deeper Work (1-3 hours)
- [ ] [Action 3] — Impact: ★★★ | Effort: Medium
- [ ] [Action 4] — Impact: ★★ | Effort: Medium

### Exploration (needs validation)
- [ ] [Action 5] — Impact: ★★★ | Effort: Hard | Nature: Exploratory

Step 3: Personalized Relevance (Customizable)

Map insights to YOUR context. Edit the dimensions below to match your own projects, interests, and systems.

## 🔄 How This Applies to Me

### My Projects
- **[Project A]**: [How this insight connects]
- **[Project B]**: [What I could apply]

### My Knowledge Base
- **Update**: [Which notes/docs to update]
- **New entry**: [What to add to my knowledge system]

### My Decision Log
- **Changed my mind about**: [what and why]
- **Confirmed my belief that**: [what]
Customization: Edit the dimensions in Step 2 and Step 3 to match your own domain. A trader might add "Market Impact" and "Risk Assessment". A developer might add "Architecture Patterns" and "Tech Debt". Make it yours.

Output Modes

ModeTriggerOutput
Full (default)/analyze [URL]All dimensions
Sparse/analyze [URL] --sparseOnly hit dimensions, skip empty
Brief/analyze [URL] --briefAction items only

Best Practices

  1. Scan all dimensions, but don't force-fill — skip empty dimensions cleanly
  2. Actions must be specific — not "learn about X" but "read X docs chapter Y"
  3. Distinguish fact from opinion — mark the author's claims vs verified facts
  4. Source everything — tag where each insight comes from in the original content
  5. ROI awareness — not every action is worth doing, assess effort vs impact

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.23%
按下载量换算122

Claude

30.9%
按下载量换算98

Cursor

19.71%
按下载量换算63

Gemini CLI

9.15%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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