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Agent Skill · 研究检索

lead-research-assistant(首席研究助理)

lead-research-assistant 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。

lead-research-assistant 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,权限为只读;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 23,762。

总安装 4,187周安装 178GitHub Stars 公开资料未说明下载 1,467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:lead-research-assistant(首席研究助理)
来源仓库:https://github.com/skillcreatorai/ai-agent-skills
仓库路径:skills/lead-research-assistant
安装命令:
npx skills add skillcreatorai/ai-agent-skills --skill "lead-research-assistant"
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。

AgentSkills.tonpx skills
npx skills add skillcreatorai/ai-agent-skills --skill "lead-research-assistant"

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。

用于快速查找、检索和筛选相关信息。适合根据关键词或任务场景定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装命令:npx skills add skillcreatorai/ai-agent-skills --skill "lead-research-assistant"。

建议确认权限范围及是否涉及联网或文件操作。

来源仓库内路径:skills/lead-research-assistant

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 skillcreatorai/ai-agent-skills --skill "lead-research-assistant";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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

lead-research-assistant 怎么安装?

在终端执行 npx skills add skillcreatorai/ai-agent-skills --skill "lead-research-assistant"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lead-research-assistant 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。

lead-research-assistant 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

lead-research-assistant 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。

lead-research-assistant 用的人多吗?

公开数据是累计安装 4,187 次,近一周安装 178 次,下载 1,467 次。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。

lead-research-assistant 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 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
lead-research-assistant

首席研究助理 · 本页

4,187—只读MIT未收录

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

Lead Research Assistant

This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies.

When to Use This Skill

  • Finding potential customers or clients for your product/service
  • Building a list of companies to reach out to for partnerships
  • Identifying target accounts for sales outreach
  • Researching companies that match your ideal customer profile
  • Preparing for business development activities

What This Skill Does

  1. Understands Your Business: Analyzes your product/service, value proposition, and target market
  2. Identifies Target Companies: Finds companies that match your ideal customer profile based on:

- Industry and sector - Company size and location - Technology stack and tools they use - Growth stage and funding - Pain points your product solves

  1. Prioritizes Leads: Ranks companies based on fit score and relevance
  2. Provides Contact Strategies: Suggests how to approach each lead with personalized messaging
  3. Enriches Data: Gathers relevant information about decision-makers and company context

How to Use

Basic Usage

Simply describe your product/service and what you're looking for:

I'm building [product description]. Find me 10 companies in [location/industry]
that would be good leads for this.

With Your Codebase

For even better results, run this from your product's source code directory:

Look at what I'm building in this repository and identify the top 10 companies
in [location/industry] that would benefit from this product.

Advanced Usage

For more targeted research:

My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]

Find me 20 qualified leads with contact strategies for each.

Instructions

When a user requests lead research:

  1. Understand the Product/Service

- If in a code directory, analyze the codebase to understand the product - Ask clarifying questions about the value proposition - Identify key features and benefits - Understand what problems it solves

  1. Define Ideal Customer Profile

- Determine target industries and sectors - Identify company size ranges - Consider geographic preferences - Understand relevant pain points - Note any technology requirements

  1. Research and Identify Leads

- Search for companies matching the criteria - Look for signals of need (job postings, tech stack, recent news) - Consider growth indicators (funding, expansion, hiring) - Identify companies with complementary products/services - Check for budget indicators

  1. Prioritize and Score

- Create a fit score (1-10) for each lead - Consider factors like: - Alignment with ICP - Signals of immediate need - Budget availability - Competitive landscape - Timing indicators

  1. Provide Actionable Output For each lead, provide:

- Company Name and website - Why They're a Good Fit: Specific reasons based on their business - Priority Score: 1-10 with explanation - Decision Maker: Role/title to target (e.g., "VP of Engineering") - Contact Strategy: Personalized approach suggestions - Value Proposition: How your product solves their specific problem - Conversation Starters: Specific points to mention in outreach - LinkedIn URL: If available, for easy connection

  1. Format the Output Present results in a clear, scannable format: # Lead Research Results ## Summary - Total leads found: [X] - High priority (8-10): [X] - Medium priority (5-7): [X] - Average fit score: [X] --- ## Lead 1: [Company Name] **Website**: [URL] **Priority Score**: [X/10] **Industry**: [Industry] **Size**: [Employee count/revenue range] **Why They're a Good Fit**: [2-3 specific reasons based on their business] **Target Decision Maker**: [Role/Title] **LinkedIn**: [URL if available] **Value Proposition for Them**: [Specific benefit for this company] **Outreach Strategy**: [Personalized approach - mention specific pain points, recent company news, or relevant context] **Conversation Starters**: - [Specific point 1] - [Specific point 2] --- [Repeat for each lead]
  2. Offer Next Steps

- Suggest saving results to a CSV for CRM import - Offer to draft personalized outreach messages - Recommend prioritization based on timing - Suggest follow-up research for top leads

Examples

Example 1: From Lenny's Newsletter

User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."

Output: Creates a prioritized list of companies that:

  • Use AI coding assistants (Copilot, Cursor, etc.)
  • Handle sensitive data (fintech, healthcare, legal)
  • Have evidence in their GitHub repos of using coding agents
  • May have accidentally exposed sensitive data in code
  • Includes LinkedIn URLs of relevant decision-makers

Example 2: Local Business

User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."

Output: Identifies companies that:

  • Recently posted remote job listings
  • Announced remote-first policies
  • Are hiring distributed teams
  • Show signs of remote work challenges
  • Provides personalized outreach strategies for each

Tips for Best Results

  • Be specific about your product and its unique value
  • Run from your codebase if applicable for automatic context
  • Provide context about your ideal customer profile
  • Specify constraints like industry, location, or company size
  • Request follow-up research on promising leads for deeper insights

Related Use Cases

  • Drafting personalized outreach emails after identifying leads
  • Building a CRM-ready CSV of qualified prospects
  • Researching specific companies in detail
  • Analyzing competitor customer bases
  • Identifying partnership opportunities

平台分布

Claude Code

28.78%
按下载量换算422

OpenCode

22.78%
按下载量换算334

Antigravity

15.9%
按下载量换算233

Gemini CLI

12.86%
按下载量换算189

Codex

6.59%
按下载量换算97

Cursor

3.31%
按下载量换算49

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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