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Agent Skill · 研究检索

industry-research(行业研究)

industry-research 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。

industry-research 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 15,679。

总安装 7,668周安装 326GitHub Stars 1下载 2,686核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:industry-research(行业研究)
来源仓库:https://github.com/rkreddyp/investrecipes
仓库路径:skills/industry-research
安装命令:
npx skills add https://github.com/rkreddyp/investrecipes --skill industry-research
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rkreddyp/investrecipes --skill industry-research

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

industry-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。适用于行业研究和信息检索场景,支持基于任务需求的信息筛选与组织。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。使用前建议核实是否会触发联网、命令执行或文件读写操作,确保符合安全边界。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/industry-research

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rkreddyp/investrecipes --skill industry-resear…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

industry-research 怎么安装?

在终端执行 npx skills add https://github.com/rkreddyp/investrecipes --skill industry-research。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

industry-research 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

industry-research 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

industry-research 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

industry-research 用的人多吗?

公开数据是累计安装 7,668 次,近一周安装 326 次,下载 2,686 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

industry-research 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
industry-research

行业研究 · 本页

7,6681操作浏览器MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Industry Research Skill

A comprehensive skill for conducting deep industry research across multiple sectors including consumer, technology, healthcare, and finance industries.

Description

This skill provides reusable methodologies, frameworks, and best practices for analyzing industry trends, identifying key market players, understanding market dynamics, tracking industry news, and forecasting future outlooks.

Core Research Areas

1. Industry Trends Analysis

  • Current market trends and growth patterns
  • Emerging technologies and innovations
  • Consumer behavior shifts
  • Regulatory and policy changes
  • Market disruptions and transformations

2. Key Companies & Market Leaders

  • Market leaders and their market share
  • Notable players and emerging competitors
  • Competitive positioning
  • Company performance metrics
  • Strategic initiatives and investments

3. Market Dynamics

  • Market size and growth rates
  • Key performance indicators (KPIs)
  • Market segmentation
  • Pricing trends
  • Supply chain dynamics

4. Industry News & Developments

  • Recent industry news and events
  • Regulatory changes and compliance updates
  • Major mergers and acquisitions
  • Product launches and innovations
  • Industry conferences and announcements

5. Future Outlook

  • Emerging trends and opportunities
  • Market predictions and forecasts
  • Technology disruptions on the horizon
  • Regulatory changes expected
  • Investment and growth opportunities

Research Methodology

Phase 1: Source Identification

  1. Industry-Specific News Sources

- Identify top industry publications - Track industry trade publications - Monitor industry association websites - Follow industry analysts and thought leaders

  1. Market Data Sources

- Financial data platforms (Yahoo Finance, Finviz) - Market research reports (Gartner, Statista, industry reports) - Government data sources - Industry databases

  1. Company Information Sources

- Company websites and investor relations - Financial filings and reports - Industry databases (Crunchbase, PitchBook) - News aggregators

Phase 2: Data Collection

  1. Browser Automation Workflow

- Navigate to each source using Playwright MCP servers - Capture screenshots for visual analysis - Extract structured data from pages - Verify data accuracy against screenshots

  1. Screenshot Analysis

- Always capture screenshots before extraction - Use Read tool to visually analyze screenshots - Extract only what is visible in screenshots - Verify extracted data matches screenshot content

Phase 3: Analysis & Synthesis

  1. Trend Identification

- Group related information by theme - Identify patterns across multiple sources - Distinguish between trends and isolated events - Note confidence levels based on source diversity

  1. Market Analysis

- Compile market size and growth data - Compare metrics across companies - Identify market leaders and their positions - Analyze competitive dynamics

  1. Insight Generation

- Synthesize information into actionable insights - Connect trends to market implications - Identify opportunities and threats - Provide forward-looking analysis

Industry-Specific Frameworks

Consumer Industry Framework

  • Focus Areas: Retail performance, e-commerce growth, consumer spending, brand analysis
  • Key Metrics: Same-store sales, online vs. offline growth, consumer sentiment, brand value
  • Sources: Retail Dive, Consumer Reports, NRF, Statista consumer data

Technology Industry Framework

  • Focus Areas: Innovation trends, market leaders, sector performance, emerging technologies
  • Key Metrics: Market share, R&D spending, patent activity, adoption rates
  • Sources: TechCrunch, The Verge, Ars Technica, Gartner reports

Healthcare Industry Framework

  • Focus Areas: Healthcare trends, regulatory changes, biotech developments, market dynamics
  • Key Metrics: FDA approvals, clinical trial results, market size, growth rates
  • Sources: STAT News, Fierce Healthcare, Healthcare Dive, industry reports

Finance Industry Framework

  • Focus Areas: Banking trends, fintech innovation, regulatory changes, market performance
  • Key Metrics: Assets under management, loan growth, fintech adoption, regulatory compliance
  • Sources: American Banker, Financial Times banking, Fintech News, industry reports

Best Practices

Data Quality Standards

  • ✅ All data should be current (latest available)
  • ✅ Verify data against multiple sources when possible
  • ✅ Extract only what is visible in screenshots
  • ✅ Note data recency and source reliability
  • ✅ Distinguish between facts and opinions

Research Workflow

  1. Start Broad: Begin with industry overview and major trends
  2. Narrow Focus: Drill down into specific companies and metrics
  3. Cross-Reference: Verify information across multiple sources
  4. Synthesize: Combine insights into coherent analysis
  5. Document: Save all screenshots and raw data for reference

Source Evaluation

  • Primary Sources: Company websites, financial filings, official reports
  • Secondary Sources: News articles, industry publications, analyst reports
  • Tertiary Sources: Aggregators, summaries, third-party analysis
  • Reliability: Prioritize primary sources, cross-check secondary sources

Output Structure

All research outputs follow this directory structure:

outputs/
└── <agent_name>/
    └── <customer_name>/
        ├── reports/        # Final markdown research reports
        ├── scripts/         # Generated research code
        ├── raw/            # JSON/CSV data files
        └── screenshots/    # PNG screenshots of sources

Report Template

## [Industry] Research Report

**Generated:** [Date/Time]
**Research Period:** [Date range]
**Sources Analyzed:** [List of sources]

---

### Executive Summary
[2-3 paragraph overview of key findings]

---

### Industry Trends
[Current trends with analysis and sources]

---

### Key Companies & Market Leaders
[Top companies with market position and analysis]

---

### Market Dynamics
[Market size, growth rates, key metrics with sources]

---

### Recent Developments
[Industry news and events with dates and sources]

---

### Future Outlook
[Emerging trends, predictions, and opportunities]

---

### Source Attribution
[List of all sources and URLs used]

Code Examples

Basic Industry Research Workflow

import asyncio
from playwright.async_api import async_playwright

async def research_industry_trends(industry_sources):
    """
    Research industry trends from multiple sources.

    Args:
        industry_sources (list): List of URLs to research

    Returns:
        dict: Research findings organized by source
    """
    findings = {}

    async with async_playwright() as p:
        browser = await p.chromium.launch()
        page = await browser.new_page(viewport={"width": 1920, "height": 1080})

        for source_url in industry_sources:
            try:
                # Navigate and capture
                await page.goto(source_url, wait_until="domcontentloaded", timeout=120000)
                await page.screenshot(path=f"screenshot_{source_url.replace('/', '_')}.png", full_page=True)

                # Extract data (implement based on page structure)
                # ... extraction logic ...

                findings[source_url] = extracted_data
            except Exception as e:
                print(f"Error researching {source_url}: {e}")

        await browser.close()

    return findings

Market Data Extraction

async def extract_market_metrics(page, selector_mapping):
    """
    Extract market metrics from a financial data page.

    Args:
        page: Playwright page object
        selector_mapping (dict): Mapping of metric names to CSS selectors

    Returns:
        dict: Extracted metrics
    """
    metrics = {}

    for metric_name, selector in selector_mapping.items():
        try:
            element = await page.query_selector(selector)
            if element:
                text = await element.inner_text()
                metrics[metric_name] = text.strip()
        except Exception as e:
            print(f"Error extracting {metric_name}: {e}")

    return metrics

Common Research Tasks

1. Industry Trend Analysis

  • Identify recurring themes across multiple sources
  • Track trend evolution over time
  • Distinguish between fads and lasting trends
  • Analyze trend drivers and implications

2. Competitive Landscape Mapping

  • Identify market leaders and their positions
  • Map competitive relationships
  • Analyze market share distribution
  • Identify emerging competitors

3. Market Size Estimation

  • Gather market size data from multiple sources
  • Compare estimates across sources
  • Note methodology differences
  • Provide range estimates when sources differ

4. Regulatory Impact Assessment

  • Track regulatory changes and proposals
  • Assess impact on industry players
  • Identify compliance requirements
  • Forecast regulatory trends

Integration with Agents

This skill is designed to be used by specialized industry researcher agents:

  • consumer_researcher.md - Consumer/retail industry
  • tech_researcher.md - Technology industry
  • healthcare_researcher.md - Healthcare/biotech industry
  • finance_researcher.md - Finance/banking industry

Each agent applies this skill's methodologies to their specific industry domain.

Dependencies

  • Playwright for browser automation
  • Screenshot capture capabilities
  • Visual analysis tools (Read tool)
  • Data extraction and processing capabilities

Performance Notes

  • Research multiple sources in parallel when possible
  • Cache screenshots for reference
  • Save raw data for future analysis
  • Organize findings by research area for easy access

平台分布

Claude Code

30.43%
按下载量换算817

Codex

21.41%
按下载量换算575

trae

18.15%
按下载量换算488

OpenCode

11.43%
按下载量换算307

Antigravity

8.01%
按下载量换算215

Gemini CLI

3.29%
按下载量换算88

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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