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prospect-analyzer前景分析器

Agent Skill

prospect-analyzer 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

5,833

周安装

248

GitHub Stars

1

下载量

2,044
OpenClaw

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

MIT-0

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:prospect-analyzer(前景分析器)
来源仓库:https://github.com/yinoneliraz/prospect-analyzer
安装命令:
openclaw skills install prospect-analyzer
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install prospect-analyzer

简介

分析企业官网与博客,识别内容营销缺口并转化为潜在客户。

  • 适合数字营销、SEO 优化与销售线索生成场景。
  • 对比竞争对手内容策略,提出改进建议。prospect-analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出包含关键词缺失分析与目标人群画像报告。
  • 使用前请确保目标网站可公开访问且无反爬防护拦截。

SKILL.md

name
prospect-analyzer
description
Analyze any company's website to find content marketing gaps and qualify them as a potential client. Visits their site, audits their blog, checks competitors, scores the opportunity, and generates a personalized outreach angle. Use when you need to 'analyze a prospect', 'qualify a lead', 'audit their content', 'check their blog', 'find content gaps for [domain]', 'research a company for outreach', or 'score this lead'.
version
1.0.0
metadata
openclaw
emoji
🔍
homepage
https://driftmango.com/sdr-kit

Prospect Analyzer

Analyze a company's website to determine if they need content marketing help. Produces a scored qualification report with specific content gaps, competitive positioning, and a personalized outreach angle you can use immediately.

Part of the DriftMango SDR Kit — an autonomous prospecting pipeline for service businesses. This is the free standalone skill. The full pipeline (automated scanning, outreach email composer, content writer, editor) is available at driftmango.com/sdr-kit.

When to Use

  • Given a company domain: "analyze example.com" or "qualify acme.io as a prospect"
  • Processing prospects from a queue file (see Queue Integration below)
  • Evaluating whether a company is worth reaching out to before writing a cold email

What You Need

  • Browser tool enabled in OpenClaw (for visiting websites)
  • A clear idea of what service you sell (so the outreach angle is relevant)

If you sell content marketing, SEO, web design, paid ads, or any service where you can spot weaknesses on a company's website, this skill works for you.

Configuration

Create a file called PROSPECT_CONFIG.md in your workspace root with your business context:

# My Business

## What I Sell
[Describe your service in 1-2 sentences]

## Target Clients
[Who is your ideal customer? Industry, size, stage]

## Avoid
[Any industries or company types you don't work with]

## Price Range
[Your typical engagement price, so outreach angles are realistic]

If no PROSPECT_CONFIG.md exists, the skill still works — it just produces a generic content gap analysis without a tailored outreach angle.

Analysis Process

Step 1: Initial Reconnaissance

Visit the prospect's homepage using the browser. Note:

  • What does the company do? (SaaS, e-commerce, services, etc.)
  • What is their product/service?
  • Who is their target audience?
  • What stage are they at? (startup, growth, enterprise — look for signals like team size on About page, funding announcements, pricing page sophistication)

Step 2: Blog and Content Audit

Navigate to common blog locations in this order until you find one:

  • /blog
  • /resources
  • /articles
  • /news
  • /insights
  • /learn
  • /content

If NO blog exists, that is a strong qualification signal — note "No blog found" and skip to Step 4.

If a blog exists, analyze:

Publishing frequency:

  • Look at the dates of the 10 most recent posts
  • Calculate average posting frequency
  • Note the date of the most recent post
  • If last post is >60 days old, flag as "dormant blog"

Content quality (sample the 3 most recent posts): For each post, visit it and evaluate:

  • Estimated word count (look at content length)
  • Does the title contain a target keyword? (search-intent phrasing like "how to...", "best...", "guide to...", "[year] ...")
  • Heading structure: does it use H2/H3 subheadings logically?
  • Does it have internal links to other content or product pages?
  • Does it have a clear call-to-action?
  • Overall quality impression: thin / generic / decent / strong

Step 3: Competitive Quick-Check

From the homepage, identify what space/niche the company is in. Then:

  • Use the browser to Google: "[their main keyword] blog" or "[their product category] guide"
  • Check if any of their content appears on the first page
  • Note 1-2 competitors who DO appear and are clearly investing in content

Step 4: Scoring and Qualification

Score the prospect on a 1-10 scale based on these weighted factors:

FactorWeightScoring
Blog exists but is weak/dormant3xNo blog=10, dormant=8, irregular=6, active but thin=4, strong=1
Company is a fit for your services2xPerfect fit=10, adjacent=6, outside target=2
Evidence they can pay2xFunded/revenue signals=10, unclear=5, likely tiny=3
Competitor content is strong2xCompetitors crushing it while they're not=10, similar level=3
Contact person findable1xFounder/CMO name visible=10, team page exists=6, no info=2

Total = weighted sum / 100, normalized to 1-10 scale.

Qualification thresholds:

  • 8-10: HOT LEAD — prioritize outreach
  • 6-7: Warm lead — worth pursuing
  • 4-5: Cool lead — low priority
  • 1-3: Skip — not a fit

Step 5: Generate Outreach Angle

Based on the analysis, write a specific outreach angle. This is NOT a full email — it's the core insight that makes an email personalized. Format:

OUTREACH ANGLE:
Hook: [One sentence describing their specific content problem]
Evidence: [The concrete data point you found]
Value prop: [What you would specifically do for them]

If PROSPECT_CONFIG.md exists, tailor the value prop to your actual services and pricing.

Step 6: Output

Save the report to your workspace:

prospects/[company-name]-analysis.md

Create the prospects directory if it doesn't exist:

mkdir -p prospects

Use this format:

## Prospect Report: [Company Name]
**Domain:** [domain]
**Analyzed:** [date]
**Score:** [X/10] — [Hot/Warm/Cool/Skip]

### Company Overview
- **What they do:** [1-2 sentences]
- **Stage:** [startup/growth/enterprise]
- **Can they pay:** [yes/likely/unclear]

### Content Audit
- **Blog URL:** [url or "none found"]
- **Total posts found:** [N]
- **Last published:** [date or "N/A"]
- **Publishing frequency:** [X posts/month or "dormant" or "none"]
- **Average quality:** [thin/generic/decent/strong]
- **Key weaknesses:**
  - [specific weakness 1]
  - [specific weakness 2]
  - [specific weakness 3]

### Competitive Position
- **Key competitor:** [name + domain]
- **Competitor content strength:** [description]
- **Gap:** [what the competitor does that this prospect doesn't]

### Outreach Angle
- **Hook:** [one sentence]
- **Evidence:** [concrete data]
- **Value prop:** [specific offer]

### Raw Notes
[Any additional observations worth remembering]

After generating the report, tell the user the score and a 2-sentence summary.

Queue Integration (Optional)

If you maintain a prospect queue at prospects/queue.md, this skill can process it:

  1. Read the top entry from "Pending Analysis"
  2. Move it to "In Progress"
  3. Run the full analysis
  4. Save the report to prospects/[company-name]-analysis.md
  5. Move the entry to "Analyzed" with the score
  6. If score is 8+: notify immediately (hot lead)
  7. If score is 6-7: note for batch notification

Queue format:

# Prospect Queue

## Pending Analysis
- **[Company Name]** — [domain.com]
  - Source: [where you found them]
  - Found: [date]

## Analyzed
- **[Company Name]** — [domain.com] — Score: X/10 — [Hot/Warm/Cool/Skip]

Tips for Best Results

  • Run on a capable model. Claude Haiku 4.5 is the minimum for decent analysis. Sonnet produces noticeably better outreach angles.
  • Be specific in PROSPECT_CONFIG.md. The more the skill knows about what you sell, the better the outreach angle.
  • Batch your analyses. Run 3-5 per day to build a pipeline without burning through tokens.
  • Trust the scores. If a prospect scores below 6, don't waste time on outreach. Move on.

What's Next

This skill tells you WHO to reach out to and WHY. To complete the pipeline:

  • market-scanner finds prospects automatically from Product Hunt, Google, and IndieHackers
  • outreach-composer turns this analysis into a ready-to-send 3-email cold sequence
  • content-writer + editor produce the content you'll deliver when they say yes

Full pipeline available at driftmango.com/sdr-kit

Important Rules

  • NEVER fabricate data. If you can't find a blog, say so. If you can't determine posting frequency, say "unclear."
  • NEVER guess at traffic numbers — just note what you observe.
  • If the browser can't load a page, try curl as a fallback.
  • Keep the analysis factual. The outreach angle should feel like it came from a human who spent 10 minutes researching the company.
  • If a prospect is clearly outside the user's target, score them low and explain why.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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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

补充不同宿主或平台的使用分布数据

能力 5

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

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90.22%
按下载量换算1,844

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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

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