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Agent Skill · 研究检索

prospecting-research(探矿研究)

prospecting-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。

prospecting-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,权限为只读;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 30,533。

总安装 2,864周安装 117GitHub Stars 85下载 927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:prospecting-research(探矿研究)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/prospecting-research
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill prospecting-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/guia-matthieu/clawfu-skills --skill prospecting-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。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。支持基于关键词、任务场景或来源线索进行信息聚合与过滤,适用于探矿式研究任务。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。

安装前建议核实是否会触发联网、命令执行或文件读写等敏感操作。prospecting-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/prospecting-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/guia-matthieu/clawfu-skills --skill prospectin…;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

prospecting-research 怎么安装?

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

prospecting-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。

prospecting-research 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。

prospecting-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。

prospecting-research 用的人多吗?

公开数据是累计安装 2,864 次,近一周安装 117 次,下载 927 次,GitHub 85 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。

prospecting-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。
  • 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

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
prospecting-research

探矿研究 · 本页

2,86485只读未明确有提醒

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

Prospecting Research

Systematically research target accounts and contacts to craft personalized, relevant outreach that cuts through the noise.

When to Use This Skill

  • Preparing for high-value outbound
  • Personalizing enterprise outreach
  • Building account intelligence
  • Training SDRs on research
  • Creating target account profiles

Methodology Foundation

Based on Jeb Blount's Fanatical Prospecting and TOPO Account-Based Research, combining:

  • Company intelligence gathering
  • Contact profiling
  • Trigger identification
  • Angle development

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures research frameworkTime per account
Identifies key data pointsOutreach approach
Suggests personalization anglesWhich angle to use
Creates research templatesTool selection
Synthesizes findingsMessage crafting

Instructions

Step 1: Company Research

Firmographic Data:

Data PointSourceWhy It Matters
Company sizeLinkedIn, websiteICP fit
RevenueZoomInfo, newsBudget potential
IndustryLinkedInRelevance
LocationsWebsiteTerritory
Tech stackBuiltWith, job postsIntegration fit

Business Context:

Data PointSourceWhy It Matters
Recent fundingCrunchbase, newsBudget, growth mode
Executive changesLinkedIn, newsNew priorities
Product launchesPress releasesInitiatives
Earnings/reportsSEC, investor callsPriorities, challenges
PartnershipsNewsEcosystem

Step 2: Contact Research

Professional Profile:

Data PointSourceWhy It Matters
Current roleLinkedInRelevance
TenureLinkedInInfluence level
Career pathLinkedInContext
Content sharedLinkedIn, TwitterInterests
Mutual connectionsLinkedInWarm intro

Personal Connection Points:

  • Shared alma mater
  • Previous company overlap
  • Mutual connections
  • Content they've created
  • Events they've attended

Step 3: Identify Triggers

Timing Triggers:

TriggerImplication
New in roleBuilding stack, making changes
New companyBringing solutions from previous
FundingBudget available
HiringScaling, needs support
Bad earningsCost cutting or growth push

Step 4: Develop Angles

Personalization Hierarchy:

  1. Trigger-based - Strongest (funding, hire, news)
  2. Content-based - Strong (their posts, interviews)
  3. Company-based - Good (industry, challenges)
  4. Mutual connection - Good (warm intro potential)
  5. Generic - Weak (avoid)

Examples

Example 1: Full Account Research

Output:

## Account Research: DataFlow Systems

### Company Snapshot

| Attribute | Value | Source |
|-----------|-------|--------|
| Company | DataFlow Systems | |
| Industry | B2B SaaS (Analytics) | LinkedIn |
| Size | 340 employees | LinkedIn |
| Revenue | ~$50M ARR (est.) | ZoomInfo |
| Founded | 2018 | Crunchbase |
| HQ | Austin, TX | Website |
| Funding | $45M Series B (Oct 2024) | Crunchbase |

---

### Technology Stack

| Category | Tool | Source |
|----------|------|--------|
| CRM | Salesforce | BuiltWith, Jobs |
| Marketing | HubSpot | BuiltWith |
| Analytics | Mixpanel | Careers page |
| Data | Snowflake | Job posting |
| [Your Category] | None detected | Research |

**Implication:** Salesforce user = good fit for integration. No tool in our category = greenfield opportunity.

---

### Recent Triggers

| Date | Trigger | Relevance |
|------|---------|-----------|
| Oct 2024 | Series B ($45M) | Budget for tools |
| Nov 2024 | VP Sales hired | New leader = new tools |
| Dec 2024 | 12 SDR positions posted | Scaling outbound |
| Jan 2025 | G2 reviews mention "[pain]" | Known problem |

---

### Business Context

**From LinkedIn:**
- Growing 60% YoY (CEO post)
- Expanding to enterprise segment (VP Sales announcement)
- Recent product launch: AI analytics features

**From News:**
- Named to "Top 50 Startups" list
- Partnership with [Complementary Company]
- CEO spoke at [Industry Conference]

**From Job Posts:**
- Hiring: SDRs (12), AEs (5), RevOps (1)
- Reveals: Scaling sales org significantly
- Tech stack mentioned: Salesforce, Gong, Outreach (competitor!)

---

### Challenges (Inferred)

Based on triggers and context:
1. **Scaling sales team** - Need tools to support
2. **Moving upmarket** - Enterprise processes needed
3. **Rev Ops hire** - Building infrastructure
4. **Competitor in stack** - May be open to alternatives

---

### Target Contacts

| Name | Title | Priority | Angle |
|------|-------|----------|-------|
| Sarah Kim | VP Sales | Primary | New to role (90 days) |
| Mike Chen | RevOps Manager | Secondary | Posted RevOps opening |
| David Park | CEO | Executive | Series B scaling |

---

### Recommended Approach

**Primary Target: Sarah Kim, VP Sales**
- New to role = making changes
- Scaling team = needs tools
- Moving upmarket = needs process

**Angle:** "Congrats on the VP role and Series B! I noticed you're hiring 12 SDRs. Most VP Sales at your stage tell me [challenge] is their biggest issue. Curious if that's true for you?"

**Secondary Path:**
- RevOps Manager Mike Chen (operational angle)
- Mutual connection: [Name] (former colleague)

Example 2: Contact Deep Dive

Output:

## Contact Research: Sarah Kim, VP Sales

### Profile Summary

| Attribute | Value |
|-----------|-------|
| Name | Sarah Kim |
| Title | VP of Sales |
| Company | DataFlow Systems |
| Location | Austin, TX |
| Tenure | 3 months (started Oct 2024) |
| LinkedIn | linkedin.com/in/sarahkim |

---

### Career Path

| Period | Company | Role | Relevance |
|--------|---------|------|-----------|
| 2024-Present | DataFlow | VP Sales | Target |
| 2021-2024 | ScaleUp Inc | Director Sales | Previous tools? |
| 2018-2021 | BigCorp | Sales Manager | Enterprise exp |
| 2015-2018 | StartupXYZ | AE | SMB background |

**Insight:** Rose through ranks. Enterprise + SMB experience. First VP role = motivated to succeed.

---

### Content Activity

**LinkedIn Posts (Last 90 days):**
- "Excited to join DataFlow!" (Oct)
- Shared article on "Scaling SDR teams"
- Commented on post about sales forecasting
- Posted about team offsite (Dec)

**Themes:** Sales leadership, team building, scaling

**Quote-worthy:** "The hardest part of scaling isn't hiring—it's making sure every rep can sell like your best rep."

---

### Connection Points

| Type | Detail | Approach |
|------|--------|----------|
| Mutual Connection | John Smith (2nd degree) | Ask for intro |
| Content | Scaling article | Reference in outreach |
| Alma Mater | Stanford MBA | Mention if relevant |
| Previous Company | ScaleUp used our competitor | Migration angle |

---

### Professional Interests

Based on activity:
- Sales enablement
- Team scaling
- Forecasting accuracy
- Rep productivity

---

### Personalization Angles

**Angle 1: New VP + Scaling** (Strongest)

Hi Sarah,

Congrats on the VP role at DataFlow—and jumping into a Series B scaling mode!

I noticed you shared that article on scaling SDR teams. The quote "making every rep sell like your best rep" really resonated.

That's exactly what [Similar Customer] focused on when they went from 5 to 50 reps.

Curious: what's your #1 challenge as you build out the team?

**Angle 2: Content-Based**

Hi Sarah,

Loved your take on the hardest part of scaling: "making every rep sell like your best rep."

I work with a lot of VP Sales going through exactly that transition. The common thread? [Insight from our customers].

Worth comparing notes?

**Angle 3: Mutual Connection**

Hi Sarah,

John Smith mentioned you just took over sales at DataFlow—congrats!

He thought we should connect given your focus on [area].

Would love to hear what's top of mind as you build out the team.

---

### Red Flags / Cautions

- Just started (Oct) - may not have full authority yet
- Previous company used competitor - could be loyal
- No public content about specific pain points

---

### Recommended Sequence

**Day 1:** Email (Angle 1 - New VP + Scaling)
**Day 1:** LinkedIn connection (mention scaling article)
**Day 3:** Follow-up email with customer story
**Day 5:** LinkedIn voice note
**Day 7:** Final email with value offer

**Expectation:** 20-30% response rate with this level of personalization

Skill Boundaries

What This Skill Does Well

  • Structuring research process
  • Identifying personalization angles
  • Finding trigger events
  • Synthesizing intelligence

What This Skill Cannot Do

  • Access paid databases
  • Verify data accuracy
  • Replace genuine relationship building
  • Write final message copy

References

  • Jeb Blount's Fanatical Prospecting
  • TOPO Account-Based Research
  • SalesLoft Personalization Guide
  • Outreach.io Research Best Practices

Related Skills

  • icp-matching - Qualify before research
  • signal-monitoring - Trigger identification
  • outbound-sequencer - Use research in sequences

Skill Metadata

  • Domain: SDR Automation
  • Complexity: Intermediate
  • Mode: cyborg
  • Time to Value: 15-30 min per account
  • Prerequisites: Research tool access

平台分布

Codex

33.59%
按下载量换算311

Claude

33.26%
按下载量换算308

Cursor

17.39%
按下载量换算161

Gemini CLI

9.61%
按下载量换算89

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。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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