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Agent Skill · 研究检索

prospect-research(前景研究)

prospect-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。

prospect-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,权限为调用外部服务;许可证信息还不明确,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 62,001。

总安装 343周安装 14GitHub Stars 30下载 110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
unknown

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:prospect-research(前景研究)
来源仓库:https://github.com/salesably/salesably-marketplace
仓库路径:skills/prospect-research
安装命令:
npx skills add https://github.com/salesably/salesably-marketplace --skill prospect-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。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/salesably/salesably-marketplace --skill prospect-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。

prospect-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。适用于前景研究相关的信息调研、线索筛选和目标客户分析等研究检索任务。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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操作。可结合来源仓库路径 skills/prospect-research 继续核验功能细节和使用边界。

来源仓库内路径:skills/prospect-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/salesably/salesably-marketplace --skill prospe…;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

    它需要调用外部服务,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

prospect-research 怎么安装?

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

prospect-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。

prospect-research 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

prospect-research 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

prospect-research 用的人多吗?

公开数据是累计安装 343 次,近一周安装 14 次,下载 110 次,GitHub 30 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。

prospect-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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
prospect-research

前景研究 · 本页

34330调用外部服务未明确有提醒

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

Prospect Research

This skill creates comprehensive prospect profiles ("knowledge capsules") that give you everything you need to have relevant, personalized sales conversations.

Objective

Build deep understanding of individual prospects-their background, role, priorities, and connection points-to enable personalized outreach and meaningful conversations.

Research Dimensions

1. Professional Profile

Basic Information:

  • Full name and preferred name
  • Current title and company
  • Location and time zone
  • LinkedIn profile URL
  • Email address (if available)

Career Context:

  • How long in current role
  • Previous roles and companies
  • Career trajectory and progression
  • Industry experience depth

2. Role & Responsibilities

What They Own:

  • Department or function they lead
  • Team size and structure
  • Key metrics they're measured on
  • Budget authority and scope

Daily Reality:

  • What does their typical day look like?
  • What tools and systems do they use?
  • Who do they report to?
  • Who reports to them?

3. Professional Interests

LinkedIn Activity:

  • Topics they post about
  • Content they engage with
  • Groups they belong to
  • Thought leadership themes

Public Content:

  • Articles or blogs they've written
  • Podcasts or webinars they've appeared on
  • Conference presentations
  • Published perspectives or opinions

4. Connection Points

Mutual Connections:

  • Shared contacts on LinkedIn
  • Common former employers
  • Industry associations
  • Alumni networks

Shared Context:

  • Similar career paths
  • Common interests or hobbies
  • Geographic connections
  • Industry events attended

5. Recent News & Activity

Personal News:

  • Job changes or promotions
  • Awards or recognition
  • Public statements or interviews
  • Social media activity

Company Context:

  • Recent company announcements
  • Industry trends affecting their role
  • Competitive pressures
  • Growth or challenges

Knowledge Capsule Format

Create a condensed, actionable profile:

## [Name] - [Title] at [Company]

### Quick Facts
- Location: [City, Time Zone]
- Tenure: [X years at company, Y months in role]
- Background: [1-2 sentence career summary]

### Role Focus
[2-3 sentences on what they're responsible for and measured on]

### Recent Activity
- [Relevant recent event or news item]
- [Another relevant item]

### Connection Points
- [Mutual connection or shared context]
- [Common interest or background]

### Conversation Starters
1. [Specific talking point based on their interests]
2. [Reference to recent news or activity]
3. [Question about their priorities]

### Potential Pain Points
Based on role and industry:
- [Likely challenge #1]
- [Likely challenge #2]
- [Likely challenge #3]

Research Sources

Primary Sources

  • LinkedIn profile and activity
  • Company website (about page, team page)
  • Professional bio from conferences or publications
  • Personal website or blog

Secondary Sources

  • News articles mentioning the prospect
  • Company press releases
  • Industry publications
  • Podcast appearances or interviews

Social Intelligence

  • Twitter/X presence
  • LinkedIn posts and comments
  • Published articles or thought leadership
  • Conference presentations (SlideShare, YouTube)

Research Process

Step 1: Basic Profile (5 minutes)

  1. Find LinkedIn profile
  2. Capture basic info (title, company, location)
  3. Note tenure and career history
  4. Identify reporting structure

Step 2: Deep Dive (10 minutes)

  1. Review LinkedIn activity (posts, comments, shares)
  2. Search for news mentions
  3. Find any published content
  4. Check for mutual connections

Step 3: Synthesis (5 minutes)

  1. Identify 2-3 key connection points
  2. Draft conversation starters
  3. Hypothesize likely pain points
  4. Create knowledge capsule

Personalization Guidelines

What Makes Research Actionable

Specific over generic:

  • Not: "They're a VP of Sales"
  • But: "They've grown the sales team from 5 to 25 in 18 months"

Recent over historical:

  • Not: "They worked at Salesforce"
  • But: "They just posted about hitting 150% of quota last quarter"

Relevant over interesting:

  • Not: "They went to Stanford"
  • But: "They mentioned struggling with rep onboarding in a recent post"

Red Flags to Note

  • Very limited online presence (harder to personalize)
  • Recent job change (may not be decision-maker yet)
  • Negative company news (tread carefully)
  • Previous bad experience with similar vendors

Output Format

When researching a prospect, produce:

  1. Knowledge Capsule: Condensed profile in standard format
  2. Research Confidence: How complete is the picture (High/Medium/Low)
  3. Best Approach: Recommended outreach strategy based on research
  4. Conversation Hooks: 3-5 specific talking points
  5. Questions to Answer: What we still need to learn

Available Tools

When enabled, these MCP tools enhance research capabilities:

ToolWhat It DoesHow to Use
ExaFind profiles and content by person"Search Exa for [name]'s LinkedIn profile and recent posts"
ApifyScrape LinkedIn profiles"Use Apify LinkedIn scraper for [profile URL]"
Hunter.ioFind and verify email addresses"Find email for [name] at [company] using Hunter"
PerplexityResearch person's public presence"Use Perplexity to find recent mentions of [name]"

Note: Tools must be enabled in .mcp.json and API keys configured. See README for setup instructions.

Tool Usage Examples

"Use Hunter to find the email for John Smith at Acme Corp"
"Search Exa for John Smith VP Sales Acme Corp LinkedIn"
"Use Perplexity to find recent interviews or podcasts featuring John Smith"
"Use Apify to scrape this LinkedIn profile: [URL]"

Cross-References

  • Feed research into cold-call-scripts for personalized openers
  • Use insights in follow-up-emails for relevant references
  • Inform multithread-outreach with stakeholder context
  • Update based on call-analysis findings

平台分布

Codex

36.14%
按下载量换算40

Claude

30.84%
按下载量换算34

Cursor

17.62%
按下载量换算19

Gemini CLI

8.41%
按下载量换算9

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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