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prospecting-research探矿研究

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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

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

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

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